Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

CE_02C	Sat, 7/27/2019, 8:30 AM - 5:00 PM	CC-407
Reproducible Computing (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Colin Rundel, Duke University
Success in statistics and data science is dependent on the development of both analytical and computational skills. This workshop will cover: - Recognizing the problems that reproducible research helps address. - Identifying pain points in getting your analysis to be reproducible. - The role of documentation, sharing, version control, automation, and organization in making your research more reproducible. - Introducing tools to solve these problems, specifically R, RStudio, RMarkdown, git, GitHub, and make. - Strategies for scaling these tools and methods for larger more complex projects. Workshop attendees will work through several exercises and get first-hand experience with using relevant tool-chains and techniques, including R/RStudio, literate programming with R Markdown, automation with make, and collaboration and version control with git/GitHub.
8:30 AM	Reproducible Computing (ADDED FEE) Colin Rundel, Duke University

CE_07C	Sun, 7/28/2019, 8:00 AM - 12:00 PM	CC-406
Statistical and Computational Methods for Microbiome and Metagenomics Data Analysis (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Curtis Huttenhower, Harvard University ; Hongzhe Li, University of Pennsylvania
High throughput sequencing technologies enable individualized characterization of the microbiome composition and functions. The human microbiome, defined as community of microbes in and on the human body, impacts human health and risk of disease by dynamically interacting with host diet, genetics, metabolism and environment. The resulting data can potentially be used for personalized diagnostic assessment, risk stratification, disease prevention and treatment. Microbiome has become one of the most active areas of research in biomedical sciences. New computational and statistical methods are being developed to understand the function of microbial communities. In this short course, we will give detailed presentations on the statistical and computational methods for measuring various important features of the microbiome based on 16S rRNA and shotgun metagenomic sequencing data, and how these features are used as an outcome of an intervention, as a mediator of a treatment and as a covariate to be controlled for when studying disease/exposure associations. The statistics underlying some of the most popular tools in microbiome data analysis will be presented, including bioBakery tools for meta'omic profiling and tools for microbial community profiling (MetaPhlAn, HUMAnN, Data2, DEMIC, etc), together with advanced methods for compositional data analysis and kernel-based association analysis.
8:00 AM	Statistical and Computational Methods for Microbiome and Metagenomics Data Analysis (ADDED FEE) Curtis Huttenhower, Harvard University ; Hongzhe Li, University of Pennsylvania

CE_09C	Sun, 7/28/2019, 8:30 AM - 5:00 PM	CC-303
Regression Modeling Strategies (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Frank Harrell, Vanderbilt University
All standard regression models have assumptions that must be verified for the model to have power to test hypotheses and for it to be able to predict accurately. Of the principal assumptions (linearity, additivity, distributional), this course will emphasize methods for assessing and satisfying the first two. Practical but powerful tools are presented for validating model assumptions and presenting model results. This course provides methods for estimating the shape of the relationship between predictors and response using the widely applicable method of augmenting the design matrix using restricted cubic splines. Even when assumptions are satisfied, overfitting can ruin a model’s predictive ability for future observations. Methods for data reduction will be introduced to deal with the common case where the number of potential predictors is large in comparison with the number of observations. Methods of model validation (bootstrap and cross–validation) will be covered, as will auxiliary topics such as modeling interaction surfaces, variable selection, overly influential observations, collinearity, and shrinkage, and a brief introduction to the R rms package for handling these problems. The methods covered will apply to almost any regression model, including ordinary least squares, logistic regression models, ordinal regression, quantile regression, longitudinal data analysis, and survival models.
8:30 AM	Regression Modeling Strategies (ADDED FEE) Frank Harrell, Vanderbilt University

CE_12C	Sun, 7/28/2019, 1:00 PM - 5:00 PM	CC-406
Functional Data Analysis for Wearables: Methods and Applications (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Vadim Zipunnikov, Johns Hopkins University; Jeff Goldsmith, Columbia University
Technological advances have made many wearable devices available for use in large epidemiological cohorts, national biobanks, and clinical studies. This opens up a tremendous opportunity for clinical and public health researchers to unveil previously hidden but pivotal physiological and behavioral signatures and relate them to disability and disease. Therefore, understanding, interpreta- tion and analysis of complex multimodal and multilevel data produced by such devices becomes crucial. The main goal of this workshop is to present an overview of the functional data analysis methods for modeling physical activity data, review their strengths and limitations, and demonstrate their implementation in R packages refund and mgcv. We will also examine several non-functional approaches for extracting informative and interpretable features from wearable data. We will discuss applications in epidemiological studies such as Head Start Program and National Health and Nutrition Examination Survey and a clinical study of Congestive Heart Failure.
1:00 PM	Functional Data Analysis for Wearables: Methods and Applications (ADDED FEE) Jeff Goldsmith, Columbia University; Vadim Zipunnikov, Johns Hopkins University

4 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-112
Recent Advance of Causal Inference in Failure Time Settings — Invited Papers
ENAR, Biometrics Section, IMS
Organizer(s): Shu Yang, North Carolina State University
Chair(s): Linbo Wang, University of Toronto
2:05 PM	Semiparametric Estimation of Continuous-Time Structural Failure Time Model Presentation Shu Yang, North Carolina State University
2:30 PM	The Choice to Define Competing Risk Events as Censoring Events and Implications for Causal Inference Presentation Jessica Gerald Young, Harvard Medical School; Mats Julius Stensrud, Harvard School of Public Health; Eric Tchetgen Tchetgen, University of Pennsylvania; Miguel Hernan, Harvard University
2:55 PM	Marginal Structural Models for a Continuous Outcome When the Risk of Death Depends on Treatment Presentation Judith Lok, Boston University, Dept of Mathematics and Statistics
3:20 PM	Discussant: Daniel Scharfstein, Johns Hopkins School of Hygiene & Public Health
3:40 PM	Floor Discussion

8 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-207
Machine Learning Methods and Applications: Making an Impact in Biomedical Research — Invited Papers
Section on Statistical Learning and Data Science, Biometrics Section, Section on Statistical Computing
Organizer(s): Juanjuan Fan, San Diego State University
Chair(s): Xiangrong Yin, University of Kentucky
2:05 PM	Finite Mixture Clustering of Risk Behaviors for an Infectious Disease Joseph Kang, Centers for Disease Control and Prevention (CDC)
2:30 PM	RELIEF-Based Feature Selection for Heterogeneous Treatment Effects with Massive Data Presentation Xiaogang Su, University of Texas, El Paso
2:55 PM	Matching Methods for Observational Data with Small Group Sizes and Mising Covariates Presentation Juanjuan Fan, San Diego State University; Afrooz Jahedi, San Diego State University; Tristan Hillis, San Diego State University; Ralph-Axel Mueller, San Diego State University
3:20 PM	Post-Market Surveillance of Arthroplasty Device Components Using Machine Learning Guy Cafri, Johnson & Johnson
3:45 PM	Floor Discussion

11 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-110
Recent Advances in Statistical Methods for Large-Scale Complex Biomedical Data — Invited Papers
Section on Statistics in Epidemiology, ENAR, Biometrics Section
Organizer(s): Kevin He, University of Michigan
Chair(s): Jian Kang, University of Michigan
2:05 PM	Uncertainty Quantification of Treatment Regime with High-Dimensional Covariates Sijian Wang, Rutgers University; Minge Xie, Rutgers University; Yilei Zhan, Rutgers University
2:30 PM	Testing Mediation Effect in Compositional Microbiome Data Presentation Lei Liu, Washington University in St Louis; Haixiang Zhang, Tianjin University; Jun Chen, Mayo Clinic; Zhigang Li, University of Florida
2:55 PM	Globally Adaptive Quantile Regression for Complex High-Dimensional Longitudinal Data Limin Peng, Emory University; Huijuan Ma, East China Normal University; Qi Zheng, University of Louisville; Zhumin Zhang, University of Wisconsin-Madison; HuiChuan Lai, University of Wisconsin-Madison
3:20 PM	Analysis of Multivariate Failure Time Data Ross L. Prentice, Fred Hutchinson Cancer Research Center; Shanshan Zhao, National Institute of Environmental Health Sciences
3:45 PM	Floor Discussion

17 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-104
New Frontiers in Adaptive Clinical Trial Designs — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, International Chinese Statistical Association
Organizer(s): Lei Gao, Vertex Pharmaceuticals
Chair(s): Lei Gao, Vertex Pharmaceuticals
2:05 PM	A Case Study of Phase II/III Seamless Adaptive Design Hui Quan, Sanofi US; Yi Xu, Sanofi; Yixin Chen, Sanofi; Lei Gao, Vertex Pharmaceuticals; Xun Chen, Sanofi
2:25 PM	Bayesian Adaptive Approach for Neoadjuvant/Adjuvant Oncology Trial Jing Zhao, Merck Research Labs
2:45 PM	Sample Size Re-Estimation in Action: Design Consideration, Charter Development, and Implementation of Analyzes in a Trial with Survival Endpoints Presentation Adam Hamm, Cytel, Inc.
3:05 PM	Similarity-Based Artificial Intelligence for Adaptive Clinical Trial and Beyond Mark Chang, Veristat; Susan Hwang, Boston University
3:25 PM	An Efficient Sample Size Adaptation Strategy with Adjustment of Randomization Ratio Yijie Zhou, Vertex
3:45 PM	Floor Discussion

18 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-203
CURRENT and FUTURE DIRECTIONS of INTENSIVE LONGITUDINAL DATA ANALYSIS — Topic Contributed Papers
Health Policy Statistics Section, Biometrics Section
Organizer(s): Trent L Lalonde, University of Northern Colorado
Chair(s): Joey Zhou, Q2
2:05 PM	Current and Future Directions of Intensive Longitudinal Data Analysis Presentation Summer Frank-Pearce; Michael Businelle, Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center; Darla Kendzor, Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center; Emily Hébert, Oklahoma Tobacco Research Center, The University of Oklahoma Health Sciences Center
2:25 PM	The Role of Time-Dependent Covariates in Models for the Risk of Repeated Events Presentation Trent L Lalonde, University of Northern Colorado
2:45 PM	Shared Parameter Mixed-Effects Location Scale Models for Intensive Longitudinal Data Presentation Donald Hedeker, University of Chicago; Robin Mermelstein, University of Illinois at Chicago
3:05 PM	Discussant: Jeffrey Wilson, W. P. Carey School of Business, ASU
3:25 PM	Discussant: Saul Shiffman, University of Pittsburgh
3:45 PM	Floor Discussion

21 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-109
Aligning Data Normalization with Analysis Goals for Reproducible Research — Topic Contributed Papers
Biometrics Section, ENAR, Section on Statistics in Genomics and Genetics
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Yize Zhao, Weill Cornell Medical College
2:05 PM	On the ‘Off-Label’ Use of Data Normalization for Sample Classification and Prognostication Li-Xuan Qin, Memorial Sloan Kettering Cancer Center; Ai Ni, The Ohio State University; Mengling Liu, New York University
2:25 PM	Batch Effects Correction with Unknown Subtypes with Application to Paired MicroRNA Data Sets Yingying Wei, The Chinese University of Hong Kong; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
2:45 PM	Multiple Testing Under Dependence and Non-Sparsity with Applications in Genomics and Toxicology Hongyuan Cao, Florida State University; Shyamal Peddada, University of Pittsburgh; Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
3:05 PM	Discussant: Lisa McShane, National Cancer Institute
3:25 PM	Discussant: George Tseng, University of Pittsburgh
3:45 PM	Floor Discussion

30	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-107
Missing Data and Measurement Error — Contributed Papers
Biometrics Section
Chair(s): John Rice, Colorado School of Public Health
2:05 PM	Exploring RNA-Protein Interactions at Amino-Acid Level via a Multinoimal Logistic Regression Model with Latent Responses Linxi Liu, Columbia University; Huijuan Feng, Columbia University; Chaolin Zhang, Columbia University
2:20 PM	Threshold Regression in Presence of Missing Covariate Tao Yang, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
2:35 PM	Empirical and Conditional Likelihoods for Two-Phase Studies with Response-Dependent Samples Menglu Che, University of Waterloo; Jerry Lawless, University of Waterloo; Peisong Han, University of Michigan
2:50 PM	Approaches to Bias Correction When Using Propensity Scores Estimated from Imperfect EHR-Derived Covariates Presentation Joanna Harton, University of Pennsylvania; Nandita Mitra, University of Pennsylvania; Rebecca Hubbard, University of Pennsylvania
3:05 PM	Causal Methods to Adjust for Confounding When Air Pollution Exposure Is Measured with Error Danielle Braun, Harvard University; Xiao Wu, Harvard University; Marianthi-Anna Kioumourtzoglou, Mailman School of Public Health, Columbia University; Francesca Dominici, Harvard T.H. Chan School of Public Health
3:20 PM	Alzheimer's Disease Risk Prediction with Multidimensional Biomarkers Zheyu Wang, Johns Hopkins University
3:35 PM	Analysis of Big and Complex Data in National Cotton Variety Test Presentation Qian Zhou

31	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-108
Personalized/Precision Medicine II — Contributed Papers
Biometrics Section
Chair(s): Tai Xie, Brightech International
2:05 PM	Statistical Considerations for Trials That Study Multiple Indications Presentation Alexander Kaizer, University of Colorado Anschutz Medical Campus; Joseph Koopmeiners, University of Minnesota; Nan Chen, University of Texas M.D. Anderson Cancer Center; Brian Hobbs, Taussig Cancer Institute, Cleveland Clinic
2:20 PM	Estimating Dynamic Treatment Regimes in Long-Term Observational Studies Using Infinite-Horizon Partially Observable Markov Decision Process Zekun Xu, North Carolina State University; Eric B Laber, NC State University; Ana-Maria Staicu, North Carolina State University
2:35 PM	Domain Adaption Machine Learning for Optimizing Treatment Strategies in Randomized Trials by Leveraging Electronic Health Records Peng Wu, Columbia University; Yuanjia Wang, Columbia University
2:50 PM	A PRECISION MEDICINE APPROACH to DETERMINE OPTIMAL TREATMENTS for OVERWEIGHT and OBESE ADULTS with KNEE OSTEOARTHRITIS Xiaotong Jiang, University of North Carolina at Chapel Hill; Amanda Nelson, University of North Carolina at Chapel Hill; Becki Cleveland, University of North Carolina; Daniel Beavers, Wake Forest School of Medicine; Todd Schwartz, University of North Carolina; Liubov Arbeeva, University of North Carolina; Carolina Alvarez, University of North Carolina; Leigh Callahan, University of North Carolina; Stephen Messier, Wake Forest University; Richard Loeser, University of North Carolina; Michael Kosorok, University of North Carolina at Chapel Hill
3:05 PM	A Fully Robust Procedure for Subgroup Inference Presentation Ao Yuan; Anqi Yin, Georgetown University; Ming T Tan, Georgetown University
3:20 PM	Inference on the Best Selected Subgroup Xinzhou Guo, University of Michigan; Xuming He, University of Michigan
3:35 PM	A Utility Approach to Individualized Optimal Dose Selection Using Biomarkers Pin Li, University of Michigan; Jeremy Taylor, University of Michigan; Matthew J. Schipper, University of Michigan

43	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-105
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 1 — Contributed Speed
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Andrew Swift, University of Nebraska at Omaha
Poster Presentations for this session.
2:05 PM	Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept Presentation 1 Presentation 2 Oluwagbenga Agboola, University of Northern Colorado
2:10 PM	Quantifying the Deception of an MLB Pitch Presentation Jason Wilson, Biola University
2:15 PM	Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball Presentation Thomas Rhomberg
2:20 PM	Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores Elizabeth Jewell, University of Michigan
2:25 PM	Faint Galaxies Detection: An Example of Guided Follow-Up with Imbalanced Data Sets Niccolo Dalmasso, Carnegie Mellon University; Ann B. Lee, Carnegie Mellon University; Rafael Izbicki, Federal University of Sao Carlos
2:30 PM	Is There Racial Bias in NFL Roughing the Passer Calls? Presentation Nilesh Shah, University of Pittsburgh
2:35 PM	Longevity of NFL Players Masaru Teramoto, University of Utah; Chad Cross, University of Nevada, Las Vegas; Daniel Cushman, University of Utah; Stuart Willick, University of Utah
2:40 PM	Determining Optimal Skills for Beach Volleyball Partners Presentation Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
2:45 PM	A SHINY Markov Machine for Decision-Making in Major League Baseball Presentation Jason Osborne, North Carolina State University
3:00 PM	Meta-Analysis to Quantify Properties of Quarterback Metrics Presentation Julia Stiller; Michael Lopez, Skidmore College
3:05 PM	Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
3:10 PM	The Computational Performance of Machine Learning Methods in The Success Prediction of Kickstarter Campaigns Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
3:15 PM	Minute-By-Minute Sleep Data: a SAS Macro to Create Summary Sleep Variables Presentation Laura Grau, University of Colorado-Biostatistics; Jaron Arbet, University of Colorado; Danielle Ostendorf, University of Colorado; Edward L Melanson, University of Colorado; Jill L Kaar, University of Colorado; Victoria A Catenacci, University of Colorado; Seth A. Creasy, University of Colorado
3:20 PM	Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression Presentation Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
3:25 PM	Information Theoretic Measures of Diversity Presentation Nikhil S Padhye, University of Texas Health Science Center at Houston; Marcia C de Oliveira Otto, University of Texas Health Science Center at Houston
3:30 PM	Bayesian Semiparametric ROC Surface Estimation Under Verification Bias Presentation Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
3:35 PM	Statistical Inference for L-Moments of Specific, Common Distributions Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs
3:40 PM	Floor Discussion

46 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-103
Recent Developments in Novel Clinical Trial Design and Analysis for Precision Medicine — Invited Papers
ENAR, Biometrics Section, Biopharmaceutical Section
Organizer(s): Yingqi Zhao, Fred Hutchinson Cancer Research Center
Chair(s): Yingqi Zhao, Fred Hutchinson Cancer Research Center
4:05 PM	Bayesian Clinical Trial Designs to Evaluate Subgroup-Specific Treatment Effects Presentation Peter Thall, U.T. M.D. Anderson Cancer Center; Juhee Lee, University of California, Santa Cruz; Thomas Murray, University of Minnesota; Andrew Chapple, Louisiana State University
4:30 PM	Adaptive Contrast Weighted Learning and Tree-Based Reinforcement Learning for Multi-Stage Multi-Treatment Decision-Making Lu Wang, University of Michigan; Yebin Tao, Google; Daniel Almirall, University of Michigan
4:55 PM	Designing Precision Medicine Trials in Oncology to Yield Greater Population Impact Michael LeBlanc, Fred Hutchinson Cancer Research Center; Yingqi Zhao, Fred Hutchinson Cancer Research Center
5:20 PM	Online Experimentation and Learning Algorithms in a Clinical Trial Presentation Susan Murphy, Harvard University
5:45 PM	Floor Discussion

48 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-104
New Frontiers in High-Dimensional and Complex Data analyses — Invited Papers
Biometrics Section, International Chinese Statistical Association, Section on Nonparametric Statistics
Organizer(s): Yichuan Zhao, Georgia State University
Chair(s): Lexin Li, University of California at Berkeley
4:05 PM	Statistical Inference for High-Dimensional Models via Recursive Online-Score Estimation Runze Li, Penn State University
4:30 PM	Dimension Reduction for High-Dimensional Censored Data Shanshan Ding, University of Delaware; Wei Qian, University of Delaware; Lan Wang, University of Minnesota
4:55 PM	Network Response Regression for Modeling Population of Networks with Covariates Emma Jingfei Zhang, University of Miami; Will Wei Sun, Purdue University; Lexin Li, University of California at Berkeley
5:20 PM	Penalized Empirical Likelihood for the Sparse Cox Model Dongliang Wang, SUNY Upstate Medical University; Tong Tong Wu, University of Rochester; Yichuan Zhao, Georgia State University
5:45 PM	Floor Discussion

59 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-605
Deep Learning in Statistics: Really?! — Topic Contributed Papers
Section on Statistical Learning and Data Science, Section on Statistical Computing, Biometrics Section, Text Analysis Interest Group
Organizer(s): Wei Pan, University of Minnesota
Chair(s): Wei Pan, University of Minnesota
4:05 PM	Embedding Learning Presentation Ben Dai, University of Minnesota; Xiaotong Shen, University of Minnesota
4:25 PM	Deep Learning in Pathological Image Analysis Guanghua Xiao, UT Southwestern Medical Center; Shidan Wang, UT Southwestern Medical Center
4:45 PM	Complex Disease Risk Prediction via a Deep Learning Method Chong Wu, Florida State University
5:05 PM	Incorporating Biological Network to Build Deep Learning Models for Gene Expression Data Tianwei Yu, Emory University; Yunchuan Kong, Emory University
5:25 PM	Graph Convolutional Neural Networks for Multiple Gene Networks HU Yang, Central University of Finance and Economics; Wei Pan, University of Minnesota
5:45 PM	Floor Discussion

60 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-105
Statistical Analysis of Massive Neuronal Data Sets — Topic Contributed Papers
ENAR, Section on Statistics in Imaging, Biometrics Section
Organizer(s): Giuseppe Vinci, Rice University
Chair(s): Raquel Prado, UC Santa Cruz-Baskin School of Engineering
4:05 PM	Torus Graphs for Multivariate Phase Coupling Analysis Robert E. Kass, Carnegie Mellon University; Josue Orellana, Carnegie Mellon University; Natalie Klein, Carnegie Mellon University
4:25 PM	Hierarchical Recurrent Models of Neural Activity and Natural Behavior Presentation Scott W. Linderman, Stanford University
4:45 PM	Neuronal Functional Connectivity Graph Estimation from Nonsimultaneous Recordings Giuseppe Vinci, Rice University; Gautam Dasarathy, Arizona State University; Genevera Allen, Rice University
5:05 PM	Probabilistic Models of Neural Responses Measured in Calcium Imaging Presentation Ding Zhou, Columbia University
5:25 PM	Floor Discussion

71 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-106
Longitudinal/Correlated Data — Contributed Papers
Biometrics Section
Chair(s): Zheyu Wang, Johns Hopkins University
4:05 PM	Empirical Frequency Band Analysis of Nonstationary Time Series Presentation Scott Alan Bruce, George Mason University; Cheng Yong Tang, Temple University; Martica Hall, University of Pittsburgh; Rob Krafty, University of Pittsburgh
4:20 PM	Methods for Analyzing Continuous Outcome from Stratified Cluster Randomized Trials Sayem Borhan, McMaster University; Lehana Thabane, McMaster University
4:35 PM	Detecting Treatment Differences in Group Sequential Multivariate Longitudinal Studies with Covariate Adjustment Presentation Neal Jeffries, National Heart, Lung, and Blood Institute,-NIH; Nancy Geller, National Institutes of Health, NHLBI; James Troendle, National Institutes of Health
4:50 PM	Statistical Inference for Crossover Design with Functional Responses Salil Koner, North Carolina State University; Arnab Maity, North Carolina State University; Ana-Maria Staicu, North Carolina State University
5:05 PM	Identification of Disease Subtypes Using Multivariate Longitudinal Data: a Comparison of Growth Curve Mixture Models and a Two-Stage Cluster Analysis Approach Presentation Benjamin E. Leiby, Thomas Jefferson University; Md Jobayer Hossain, Nemours children Healthcare Systems; Ayako Shimada, Thomas Jefferson University
5:20 PM	A Comparison of the Power of Generalized Linear Regressions (GLM) and Generalized Estimating Equations (GEE) in the Phenome –Wide Association Study (PheWAS) Setting Minh Chau Nguyen, University of Colorado Denver; Erin Austin, University of Colorado Denver
5:35 PM	Estimation and Inference of Heteroskedasticity Models with Latent Semiparametric Factors for Multivariate Time Series Presentation Lyuou Zhang

72	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-108
Semiparametric Modeling — Contributed Papers
Biometrics Section
Chair(s): John E Kolassa, Rutgers, the State University of New Jersey
4:05 PM	A Fast Score Test for Generalized Mixture Models Rui Duan, University of Pennsylvania; Yang Ning, Cornell University; Shuang Wang, Columbia University; Bruce Lindsay, Pennsylvania State University; Raymond J. Carroll, Texas A & M University; Yong Chen, University of Pennsylvania
4:20 PM	Semiparametric Spatial Mixed Effects Change Points Single Index Model Hamdy F. F. Mahmoud, Virginia Tech; Inyoung Kim, Virginia Tech
4:50 PM	Double Deep Learning for Adjusting Complex Confounding Structures Presentation Xinlei Mi, Columbia University
5:05 PM	Semiparametric Maximum Likelihood for Logistic Regression with Misclassified Response and Covariate Measurement Error Presentation Sarah Lotspeich, Vanderbilt University; Bryan E Shepherd, Vanderbilt University School of Medicine; Pamela Shaw, University of Pennsylvania; Ran Tao, Vanderbilt University Medical Center
5:20 PM	Semiparametric Sufficient Dimension Reduction for Populations with Structured Heterogeneity Jared Davis Huling, The Ohio State University; Menggang Yu, University of Wisconsin-Madison
5:35 PM	Identification and Estimation of a Semiparametric Single Index Transformation Model Yingqian Lin, Guanghua School of Management; Yundong Tu, Peking University, Guanghua School of Management and Center for Statistical Science

87	Sun, 7/28/2019, 4:00 PM - 4:45 PM	CC-Hall C
SPEED: Statistics in Sports; Physical Activity/Sleep Studies, and Nonparametrics Part 2 — Contributed Poster Presentations
Section on Statistics in Sports, Biometrics Section, Survey Research Methods Section, Section on Bayesian Statistical Science, Section on Nonparametric Statistics
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
16:	Preference Probability Based on Ranks – A New Approach Using Logistic Regression with Zero Intercept Oluwagbenga Agboola, University of Northern Colorado
17:	Quantifying the Deception of an MLB Pitch Jason Wilson, Biola University
18:	Application of Data Analytics and Visualization in NCAA Division III Men’s Basketball Thomas Rhomberg
19:	Devaluing the Yurchenko Full: The Effect of NCAA Women’s Gymnastics Code Modifications on Event and Total Scores Elizabeth Jewell, University of Michigan
20:	Is There Racial Bias in NFL Roughing the Passer Calls? Nilesh Shah, University of Pittsburgh
21:	Longevity of NFL Players Masaru Teramoto, University of Utah; Chad Cross, University of Nevada, Las Vegas; Daniel Cushman, University of Utah; Stuart Willick, University of Utah
22:	Determining Optimal Skills for Beach Volleyball Partners Jacob Eliason, Brigham Young University; Gil Fellingham, Brigham Young University; Matthew Oehler, Brigham Young University
23:	A SHINY Markov Machine for Decision-Making in Major League Baseball Jason Osborne, North Carolina State University
25:	Meta-Analysis to Quantify Properties of Quarterback Metrics Julia Stiller; Michael Lopez, Skidmore College
26:	Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
27:	Minute-By-Minute Sleep Data: a SAS Macro to Create Summary Sleep Variables Laura Grau, University of Colorado-Biostatistics; Jaron Arbet, University of Colorado; Danielle Ostendorf, University of Colorado; Edward L Melanson, University of Colorado; Jill L Kaar, University of Colorado; Victoria A Catenacci, University of Colorado; Seth A. Creasy, University of Colorado
28:	Interpretable Localized Time-Frequency Analysis via Penalized Reduced Rank Regression Marie Tuft, University of Pittsburgh; Rob Krafty, University of Pittsburgh
29:	Information Theoretic Measures of Diversity Nikhil S Padhye, University of Texas Health Science Center at Houston; Marcia C de Oliveira Otto, University of Texas Health Science Center at Houston
30:	Bayesian Semiparametric ROC Surface Estimation Under Verification Bias Rui Zhu, North Carolina State University; Subhashis Ghosal, North Carolina State University
31:	The Computational Performance of Machine Learning Methods in The Success Prediction of Kickstarter Campaigns Michael Oduro-Safo, University of Northern Colorado; Han Yu, University of Northern Colorado
32:	Statistical Inference for L-Moments of Specific, Common Distributions Timothy Shawn Anderson, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology; Fairul Mohd-Zaid, Air Force Research Labs
33:	Faint Galaxies Detection: An Example of Guided Follow-Up with Imbalanced Data Sets Niccolo Dalmasso, Carnegie Mellon University; Ann B. Lee, Carnegie Mellon University; Rafael Izbicki, Federal University of Sao Carlos
Oral Presentations for this session.

112	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-109
Statistical Challenges in the Processing and Analysis of Mobile Health Data — Invited Papers
Section on Statistics in Epidemiology, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Joseph Rigdon, Stanford University
Chair(s): Summer Han, Stanford University
8:35 AM	SMART for Health App Recommenders Ying Kuen Ken Cheung, Columbia University
8:55 AM	Precision Medicine in Mobile Health Using V-Learning Presentation Daniel Luckett, University of North Carolina at Chapel Hill; Eric B Laber, NC State University; Anna Kahkoska, University of North Carolina at Chapel Hill; David Maahs, Stanford University; Elizabeth Mayer-Davis, University of North Carolina at Chapel Hill; Michael Kosorok, University of North Carolina at Chapel Hill
9:15 AM	Design and Sample Size Considerations for Multi-Level Motivational Messages in Micro-Randomized Trials Bibhas Chakraborty, Duke-National University of Singapore Medical School
9:35 AM	Parameterizing Exploration Presentation Jesse Clifton, NC State University; Lili Wu, North Carolina State University; Eric B Laber, NC State University
9:55 AM	Statistical Challenges in the Processing and Analysis of Accelerometer Data Manisha Desai, Stanford University Quantitative Sciences Unit
10:15 AM	Floor Discussion

113 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-702
New Developments on Data Integration and Data Fusion — Topic Contributed Papers
Section on Statistical Learning and Data Science, Biometrics Section, ENAR
Organizer(s): Gen Li, Columbia University
Chair(s): Gen Li, Columbia University
8:35 AM	Bayesian Nonparametric Clustering Analysis with an Incorporation of Biological Network for High-Dimensional Multi-Scale Molecular Data Yize Zhao, Yale University
8:55 AM	Integrative linear Discriminant Analysis with Guaranteed Error Rate Improvement Quefeng Li, University of North Carolina Chapel Hill; Lexin Li, University of California at Berkeley
9:15 AM	Insights into Impact of DNA Copy Number Alteration and Methylation on the Proteogenomic Landscape of Human Ovarian Cancer via a Multi-Omics Integrative Analysis Presentation Jiayi Ji; Xiaoyu Song, Icahn School of Medicine at Mount Sinai
9:35 AM	Sparse Semiparametric Canonical Correlation Analysis for Data of Mixed Types Irina Gaynanova, Texas A&M Univeristy; Grace Yoon, Texas A&M University; Raymond J. Carroll, Texas A & M University
9:55 AM	A Double Core Tensor Factorization and Its Applications to Heterogeneous Data George Michailidis, University of Florida
10:15 AM	Floor Discussion

115 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-201
Novel Statistical Methods for Emerging Problems in Modern Clinical Trials and Drug Development — Topic Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Yuan Ji, The University of Chicago
Chair(s): Inna Perevozskaya, GSK
8:35 AM	Optimal Selection Procedures and Adaptive Designs for Seamless Phase 2/3 Clinical Trials Presentation Vladimir Dragalin, Janssen R&D
8:55 AM	Master Protocol and Designs for Setting Where Randomized Controlled Trials Are Not Feasible* Sue-Jane Wang, Center for Drug Evaluation and Research U.S. Food and Drug Administration
9:15 AM	A Unified Framework for Time-To-Toxicity Dose-Finding Designs in Immune and Non-Immune Clinical Trials Presentation Yuan Ji, The University of Chicago; Tianjian Zhou, The University of Chicago
9:35 AM	Bayesian Models for Precision Oncology Clinical Trials Presentation Peter Müller, University of Texas Austin; Yanxun Xu, Johns Hopkins University; Don Berry, MDACC; Apostolia Tsimberidou, MDACC
9:55 AM	Robust Clinical Trial Design and Analysis When Non-Proportional Hazards Are Likely Keaven Anderson, Merck & Company, Inc.
10:15 AM	Floor Discussion

116 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-104
Recent Advances in Cure Rate Models for Long-Term Survivors — Topic Contributed Papers
Biometrics Section, ENAR, Lifetime Data Science Section
Organizer(s): Wei-Wen Hsu, Kansas State University
Chair(s): KyungMann Kim, University of Wisconsin-Madison
8:35 AM	Marginal Mean Hazard Rate Models for Long-Term Survivors with High-Dimensional Covariates Wei-Wen Hsu, Kansas State University; Jianfeng Chen, Kansas State University; David Todem, Michigan State University; KyungMann Kim, University of Wisconsin-Madison
8:55 AM	Nonparametric Scanning Tests for Homogeneity with Continuous Covariates in Cure Rate Models David Todem, Michigan State University
9:15 AM	Testing for Homogeneity in Two-Component Mixture Models: a Bayesian Model Comparison Approach Gyuhyeong Goh, Kansas State University; Wei-Wen Hsu, Kansas State University; David Todem, Michigan State University
9:35 AM	Applying Cure Models with Competing Risks and Complex Censoring Patterns Presentation Jeremy Taylor, University of Michigan; Lauren Beesley, University of Michigan
9:55 AM	Floor Discussion

118 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-107
Emerging Challenges in Precision Medicine — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, ENAR
Organizer(s): Li Ma, Duke University
Chair(s): David Banks, SAMSI/Duke University
8:35 AM	Knockoff Assisted Outcome Adaptive Lasso for Doubly Robust Treatment Effect Estimation Guanhua Chen, University of Wisconsin-Madison
8:55 AM	Variable Selection and Estimation in Causal Inference Using Bayesian Spike and Slab Priors David Michael Vock, University of Minnesota; Brandon Koch, University of Nevada Reno; Julian Wolfson, University of Minnesota
9:15 AM	Sparse Learning and Structure Identification for Ultra-High-Dimensional Image-On-Scalar Regression Xinyi Li, SAMSI; Li Wang, Iowa State University; Huixia Judy Wang, The George Washington University
9:35 AM	Characterizing Outcome Distributions of Dynamic Treatment Regimes Presentation Daniel Lizotte, The University of Western Ontario
9:55 AM	Single-Cell Analyzes for Developing HIV Vaccine Lynn Lin, Penn State University
10:15 AM	Floor Discussion

128	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-103
SPEED: Biometrics and Biostatistics Part 1 — Contributed Speed
Biometrics Section, Section on Statistics in Epidemiology, Biopharmaceutical Section, Section on Bayesian Statistical Science
Chair(s): Caroline Ledbetter, University of Colorado
Poster Presentations for this session.
8:35 AM	Oversampling and Replacement Strategies in Propensity Score Matching: a Critical Review Focused on Small Samples Presentation Daniele Bottigliengo, University of Padova; Ileana Baldi, University of Padova; Corrado Lanera, University of Padova; Jonida Bejko, University of Brescia; Tomaso Bottio, University of Padova; Vincenzo Tarzia, University of Padova; Massimiliano Carrozzini, University of Padova; Gino Gerosa, University of Padova; Paola Berchialla, University of Torino; Dario Gregori, University of Padova
8:40 AM	A Concordance Statistic for Survival Analysis with a Censored Predictor Presentation Kai Ding, University of Oklahoma Health Sciences Center; Justin Dvorak, University of Oklahoma Health Sciences Center
8:45 AM	Meta-Analysis of Binary Outcomes Combining Individual Patient Data and Aggregate Data Presentation Neha Agarwala, University of Maryland - Baltimore County; Anindya Roy, University of Maryland - Baltimore County
8:50 AM	Multiplicity Adjustment in Clinical Trials Presentation Michael Proschan, National Institute of Allergy and Infectious Diseases; Erica Brittain, National Institute of Allergy and Infectious Diseases
8:55 AM	Hierarchical Likelihood Approach for Joint Models of Longitudinal Non-Survival Responses and Survival Data: a Semiparametric Model with Gamma Shared Random Effects Presentation 1 Presentation 2 Presentation 3 Presentation 4 Karl Stessy Bisselou, University of Nebraska Medical Center; Hongying Dai, University of Nebraska Medical Center; Gleb Haynatzki, University of Nebraska Medical Center
9:00 AM	A Scalable Algorithm for Joint Modeling of Longitudinal and Competing Risks Time-To-Event Data Presentation Shanpeng Li, UCLA Department of Biostatistics; Eric Kawaguchi, UCLA Department of Biostatistics; Gang Li, UCLA
9:05 AM	Synthetic Data Method to Incorporate External Information into a Current Study Presentation Tian Gu, University of Michigan; Jeremy Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
9:10 AM	Predicting the Cross-Validated Penalty Parameter in Nodewise Lasso Regression Presentation Mo Huang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
9:15 AM	Statistical Assessment of Bovine Body Weight via Functional Gait Data Andrew Raim, US Census Bureau; Nagaraj Neerchal, University of Maryland, Baltimore County; Dan Tasch, Step Analysis LLC; Uri Tasch, Step Analysis LLC
9:20 AM	Adaptive Design with Biomarker Population Deselection and Enrichment for Oncology Trials Pingye Zhang; Yue Shentu, Merck & Co., Inc.; Qi Liu, Merck & Co., Inc.
9:30 AM	Unblinded Sample Size Re-Estimation for Ordinal Data Huaihou Chen, Biogen; Ray Zhang, Biogen; Weihua Tang, Biogen; Li Zhu, Biogen; Chunlei Ke, Biogen
9:35 AM	A Natural Lead-In Approach to Response-Adaptive Allocation Erin Donahue, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
9:40 AM	Bayesian Analysis of Mixed Continuous and Time-To-Event Outcomes with Latent Variables Presentation Xinyuan Song, The Chinese University of Hong Kong; Deng Pan, Huazhong University of Science and Technology
9:45 AM	Survival Analyzes in the Presence of Unadjudicated Events Presentation Rakhi Kilaru, Pharmaceutical Product Development; Andrew Montgomery Hartley, Pharmaceutical Product Development
9:50 AM	A Comparison of Stacked and Pooled Multiple Imputation Presentation Paul Bernhardt, Villanova University
9:55 AM	Design of a Phase 3 Trial for an Acute Treatment of a Rare Disease with Episodic Attacks Presentation Sharon Murray
10:00 AM	Quantitative Decision Making (QDM) in Phase I/II Studies Presentation 1 Presentation 2 Kevin Gan, GlaxoSmithKline; Jonathan Haddad , GlaxoSmithKline
10:05 AM	Bayesian Modeling of Rare Events with Informative Censoring in Meta-Analysis Xinyue Qi, UT MD Anderson Cancer Center; Yucai Wang, Mayo Clinic; Chan Shen, College of Medicine, Penn State University; Michael Wang, The University of Texas MD Anderson Cancer Center; Shouhao Zhou, PennState College of Medicine
10:10 AM	A Bayesian Approach with Propensity Score for Confounding Control with Case Study in Non-Medical Switch Real World Observational Studies Zhenyi Xue, AbbVie; Hongwei Wang, AbbVie Inc.
10:15 AM	Floor Discussion

129 !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-106
High-Dimensional Data and Inference — Contributed Papers
Biometrics Section
Chair(s): Sharon Lutz, Harvard Medical School
8:35 AM	Simultaneous Confidence Bands for Functional Regression Models Chung Chang; Xuejing Lin, Columbia University; Todd Ogden, Columbia University
8:50 AM	Group Regularization for Zero-Inflated Count Regression Models Presentation Shrabanti Chowdhury, Icahn School of Medicine at Mount Sinai; Saptarshi Chatterjee, Northern Illinois University; Himel Mallick, Merck & Co., Inc.; Prithish Banerjee, JP Morgan Chase & Co; Broti Garai, NBCUniversal
9:05 AM	Non-Nested Hypothesis Testing for Threshold Regression: a Non-Nested Hypothesis Testing Problem for Threshold Regression Models Zonglin He, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
9:20 AM	Projection Inference Using Penalized Regression Estimators Presentation 1 Presentation 2 Biyue Dai, University of Iowa; Patrick Breheny, University of Iowa
9:35 AM	A Novel Approach on Multiple-Traits Genetic Association Tests for Flexible Pleiotropy Structures Han Hao, University of North Texas
9:50 AM	A Generalized Framework for High-Dimensional Inference Using Leave-One-Covariate-Out LASSO Path Xiangyang Cao, University of South Carolina; Karl Gregory, University of South Carolina; Dewei Wang, University of South Carolina
10:05 AM	Structural Modeling by Using Overlapped Penalties for Discovering Predictive Biomarkers Chong Ma, Yale University; Wenxuan Deng, Yale University; Shuangge Ma, Yale University; Ray Liu , Takeda Pharmeceuticals; Kevin Galinsky , Takeda Pharmeceuticals

140 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-203
Frontiers of Statistical Genetics: Genomics, Transcriptomics, and PheWAS — Invited Papers
WNAR, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Wei Sun, Fred Hutchinson Cancer Research Center
Chair(s): Wei Sun, Fred Hutchinson Cancer Research Center
10:35 AM	Weighted Hypothesis Testing Accounting for Correlated Predictors Li Hsu, Fred Hutchinson Cancer Research Center, USA
11:00 AM	Scalable and Accurate Association Analysis for Big Biobank Data Presentation 1 Presentation 2 Seunggeun Lee, University of Michigan
11:25 AM	Mediation Analyzes for Dissecting the Role of DNA Methylation in Epidemiologic Studies Presentation James Dai, Fred Hutchinson Cancer Research Center
11:50 AM	Predictive Modeling of Transcriptomics in Ancestrally Diverse Populations Presentation Timothy Thornton, University of Washington; Anya Mikhaylova, Universtiy of Washington
12:15 PM	Floor Discussion

155 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-107
Research Reproducibility for Precision Medicine: From Controlled Experiments to Real-World Evidence — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, Government Statistics Section
Organizer(s): Dong Wang, FDA National Center for Toxicological Research (NCTR); Wei Vivian Zhuang, U.S. Food and Drug Administration
Chair(s): Dong Wang, FDA National Center for Toxicological Research (NCTR)
10:35 AM	Make Genomics Reproducible Again – MAQC and Beyond Presentation Weida Tong, FDA National Center for Toxicological Research (NCTR); Zhihua Xu, U.S. Food and Drug Administration
10:55 AM	On Randomized Controlled Trials with Integrated Real World Evidence for Drug Development in Gene Therapy Trials Presentation Qing Liu, Quantitative and Regulatory Medical Science, LLC
11:15 AM	Reproducible Evidence: Practices to Enhance and Achieve Transparency of “Real World” Evidence from “Real World” Databases Shirley Wang
11:35 AM	A Nonparametric Statistical Method for More Reproducible Biomarker Detection Presentation Wei Zhuang, NCTR/U.S. FDA; Luísa Camacho, NCTR/U.S. FDA; Camila Silva, NCTR/U.S. FDA; Huixiao Hong, NCTR/U.S. FDA
11:55 AM	R Markdown: a Software Ecosystem for Reproducible Publications Yihui Xie, RStudio, Inc.
12:15 PM	Floor Discussion

159 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-302
Novel Approaches for Diagnostics and Prediction with Complex Data — Topic Contributed Papers
International Chinese Statistical Association, Biometrics Section, Section on Medical Devices and Diagnostics
Organizer(s): Wei Zhang, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH
Chair(s): Aiyi Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH
10:35 AM	Assessing the Incremental Value of New Biomarkers Based on or Rules Ying Huang, Fred Hutchinson Cancer Research Center; Lu Wang, Fred Hutchinson Cancer Research Center; Alex R. Luedtke, Dept. of Statistics- University of Washington
10:55 AM	Statistical Monitoring of Hemodialysis Treatments via Raman Spectral Analysis Pang Du, Virginia Tech; Yunnan Xu, Virginia Tech
11:15 AM	Recent Advances in Statistical Methods for Biomarker Evaluation: Naïve Pooling Vs Umbrella Ordering Presentation Lili Tian, SUNY at Buffalo; Yingdong Feng, SUNY at Buffalo; Dan Wang, Eli Lilly
11:35 AM	A Resample-Replace Lasso Procedure for Combining High-Dimensional Markers with Limit of Detection Presentation Yunpeng Zhao, Arizona State Univ; Jinjuan Wang, University of Chinese Academy of Sciences; Larry Tang, George Mason University; Claudius Mueller, George Mason University; Qizhai Li, Academy of Mathematics and Systems Science, Chinese Academy of Science
11:55 AM	A Joint Prediction Model with Partial Network Data with Informative Cluster Size Danping Liu, National Cancer Institute
12:15 PM	Floor Discussion

160 *	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-110
Editor's Choice: Papers Published in the American Statistician During 2018 — Topic Contributed Papers
Biometrics Section, Section on Bayesian Statistical Science, Section on Statistical Learning and Data Science
Organizer(s): Daniel Jeske, University of California, Riverside
Chair(s): Daniel Jeske, University of California, Riverside
10:35 AM	Abandon Statistical Significance Blakeley McShane, Northwestern University; Andrew Gelman, Columbia University; Christian Robert, Ceremade - Université Paris-Dauphine ; David Gal, University of Illinois at Chicago; Jennifer Tackett, Northwestern University
10:55 AM	On Mixture Alternatives and Wilcoxon’s Signed-Rank Test Presentation Jonathan Rosenblatt, Ben Gurion University of the Negev; Yoav Benjamini, Tel Aviv University
11:15 AM	A Bayesian Survival Analysis of a Historical Dataset: How Long Do Popes Live? Presentation Luciana Dalla Valle, University of Plymouth; Julian Stander, University of Plymouth; Mario Cortina-Borja, UCL GOS Institute of Child Health
11:35 AM	Guns and Suicides Presentation Danilo Santa Cruz Coelho, Instituto de Pesquisa Econômica Aplicada; Daniel Cerqueira, Instituto de Pesquisa Econômica Aplicada; Marcelo Fernandes, Sao Paulo School of Economics, FGV; Jony Pinto Junior, Universidade Federal Fluminense
11:55 AM	Forecasting at Scale Sean Taylor , Facebook
12:15 PM	Floor Discussion

164 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-112
FDA Adaptive Designs and Master Protocols Guidance for Clinical Trials – Reflection and Outlook — Topic Contributed Papers
Biopharmaceutical Section, Section on Bayesian Statistical Science, Biometrics Section
Organizer(s): Aijun Gao, Covance/Chiltern; Fanni Natanegara, Eli Lilly and Company; Shiling Ruan, Novartis
Chair(s): Aijun Gao, Covance/Chiltern
10:35 AM	How the 2018 FDA Adaptive Design Draft Guidance Can Help to Increase the Use of Adaptive Designs in Industry Presentation David Manner, Eli Lilly & Company
10:55 AM	Increasing Efficiency of Oncology POC Studies Using Bayesian Adaptive Approach Rong Liu, Celgene Co.
11:15 AM	Finding a Balance of Synergy and Flexibility in Master Protocols Presentation Melanie Quintana, Berry Consultants; Scott Berry, Berry Consultants
11:35 AM	Points to Consider in the Design of Adaptive Platform Clinical Trials in Non-Alcoholic Steatohepatitis Presentation Peter Mesenbrink, Novartis Pharmaceuticals
11:55 AM	Discussant: Telba Irony, FDA CBER
12:15 PM	Floor Discussion

171	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-108
Missing Data — Contributed Papers
Biometrics Section
Chair(s): Stephanie Shipp, University of Virginia, Biocomplexity Institute & Initiative, Social & Decision Analytics
10:35 AM	Evaluation of Imputation Approaches for Disease Diagnosis When Risk Factors Have Missing Values Katherine E Irimata, National Center for Health Statistics; Guangyu Zhang, National Center for Health Statistics
10:50 AM	Bayesian Analysis of Longitudinal Quality of Life Measures with Informative Missing Data Using a Selection Model Jaeil Ahn, Georgetown University
11:05 AM	Marginal Indirect Standardization Using Latent Clustering on Multiple Reference Hospitals Presentation Yifei Wang, University of California, San Francisco; Daniel Tancredi, University of California, Davis; Diana Miglioretti, University of California, Davis
11:20 AM	Weighting Estimators for Cox Regression for Studying Etiological Heterogeneity with Partially Observed Multiple Markers Presentation Jooyoung Lee, Harvard T.H. Chan School of Public Health; Molin Wang, Harvard T.H. Chan School of Public Health
11:35 AM	Comparison of Sampling Designs for the Selection of a Validation Subset to Address Correlated Covariate and Failure-Time Outcome Error Presentation Eric Oh, University of Pennsylvania; Thomas Lumley, University of Auckland; Bryan E Shepherd, Vanderbilt University School of Medicine; Pamela Shaw, University of Pennsylvania
11:50 AM	Contrasting a Longitudinal Factor Model with a Linear Mixed-Effects Model to Address Incomplete Data on Repeated Measures in an AIDS Prevention Study Panteha Hayati Rezvan, University of California Los Angeles; Xiang Lu, University of California Los Angeles; Thomas Belin, UCLA
12:05 PM	Multiple Imputation for Censored Covariate Using Fully Conditional Specification Method Jingyao Hou; Jing Qian, University of Massachusetts Amherst

196	Mon, 7/29/2019, 11:35 AM - 12:20 PM	CC-Hall C
SPEED: Biometrics and Biostatistics Part 2 — Contributed Poster Presentations
Biometrics Section, Section on Statistics in Epidemiology, Biopharmaceutical Section, Section on Bayesian Statistical Science
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations for this session.
21:	Oversampling and Replacement Strategies in Propensity Score Matching: a Critical Review Focused on Small Samples Daniele Bottigliengo, University of Padova; Ileana Baldi, University of Padova; Corrado Lanera, University of Padova; Jonida Bejko, University of Brescia; Tomaso Bottio, University of Padova; Vincenzo Tarzia, University of Padova; Massimiliano Carrozzini, University of Padova; Gino Gerosa, University of Padova; Paola Berchialla, University of Torino; Dario Gregori, University of Padova
22:	A Concordance Statistic for Survival Analysis with a Censored Predictor Kai Ding, University of Oklahoma Health Sciences Center; Justin Dvorak, University of Oklahoma Health Sciences Center
23:	Meta-Analysis of Binary Outcomes Combining Individual Patient Data and Aggregate Data Neha Agarwala, University of Maryland - Baltimore County; Anindya Roy, University of Maryland - Baltimore County
24:	Multiplicity Adjustment in Clinical Trials Michael Proschan, National Institute of Allergy and Infectious Diseases; Erica Brittain, National Institute of Allergy and Infectious Diseases
25:	A Comparison of Stacked and Pooled Multiple Imputation Paul Bernhardt, Villanova University
26:	Hierarchical Likelihood Approach for Joint Models of Longitudinal Non-Survival Responses and Survival Data: a Semiparametric Model with Gamma Shared Random Effects Karl Stessy Bisselou, University of Nebraska Medical Center; Hongying Dai, University of Nebraska Medical Center; Gleb Haynatzki, University of Nebraska Medical Center
27:	A Scalable Algorithm for Joint Modeling of Longitudinal and Competing Risks Time-To-Event Data Shanpeng Li, UCLA Department of Biostatistics; Eric Kawaguchi, UCLA Department of Biostatistics; Gang Li, UCLA
28:	Synthetic Data Method to Incorporate External Information into a Current Study Tian Gu, University of Michigan; Jeremy Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
29:	Predicting the Cross-Validated Penalty Parameter in Nodewise Lasso Regression Mo Huang, University of Pennsylvania; Nancy Zhang, University of Pennsylvania
30:	Statistical Assessment of Bovine Body Weight via Functional Gait Data Andrew Raim, US Census Bureau; Nagaraj Neerchal, University of Maryland, Baltimore County; Dan Tasch, Step Analysis LLC; Uri Tasch, Step Analysis LLC
31:	Adaptive Design with Biomarker Population Deselection and Enrichment for Oncology Trials Pingye Zhang; Yue Shentu, Merck & Co., Inc.; Qi Liu, Merck & Co., Inc.
32:	Unblinded Sample Size Re-Estimation for Ordinal Data Huaihou Chen, Biogen; Ray Zhang, Biogen; Weihua Tang, Biogen; Li Zhu, Biogen; Chunlei Ke, Biogen
34:	A Natural Lead-In Approach to Response-Adaptive Allocation Erin Donahue, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University
35:	Survival Analyzes in the Presence of Unadjudicated Events Rakhi Kilaru, Pharmaceutical Product Development; Andrew Montgomery Hartley, Pharmaceutical Product Development
36:	Design of a Phase 3 Trial for an Acute Treatment of a Rare Disease with Episodic Attacks Sharon Murray
37:	Bayesian Modeling of Rare Events with Informative Censoring in Meta-Analysis Xinyue Qi, UT MD Anderson Cancer Center; Yucai Wang, Mayo Clinic; Chan Shen, College of Medicine, Penn State University; Michael Wang, The University of Texas MD Anderson Cancer Center; Shouhao Zhou, PennState College of Medicine
38:	Bayesian Analysis of Mixed Continuous and Time-To-Event Outcomes with Latent Variables Xinyuan Song, The Chinese University of Hong Kong; Deng Pan, Huazhong University of Science and Technology
39:	A Bayesian Approach with Propensity Score for Confounding Control with Case Study in Non-Medical Switch Real World Observational Studies Zhenyi Xue, AbbVie; Hongwei Wang, AbbVie Inc.
40:	Quantitative Decision Making (QDM) in Phase I/II Studies Kevin Gan, GlaxoSmithKline; Jonathan Haddad , GlaxoSmithKline
Oral Presentations for this session.

211 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-605
Getting to the Slope of Enlightenment with EHR Data — Invited Papers
Section on Statistical Computing, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
Chair(s): Jeffrey Leek, Johns Hopkins Bloomberg School of Public Health
2:05 PM	Handling Sampling and Selection Bias in Phenome-Wide Association Studies Presentation Bhramar Mukherjee, University of Michigan
2:30 PM	Complex Data in, Nuanced Answers Out: Lessons Learned Analyzing Electronic Health Record Data in Oncology Sandra Griffith, Flatiron Health
2:55 PM	Challenges in Augmenting Randomized Trials with Observational Health Records Presentation Lucy D'Agostino McGowan, Johns Hopkins Bloomberg School of Public Health
3:20 PM	Discussant: Sherri Rose, Harvard Medical School
3:45 PM	Floor Discussion

216 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-704
Promises and Pitfalls of Making Decisions with Real World Data — Invited Papers
Biometrics Section, ENAR, Health Policy Statistics Section
Organizer(s): Yuanjia Wang, Columbia University
Chair(s): Ying Liu, Medical College of Wisconsin
2:05 PM	A Decision Theoretic Approach to Pre-Emptive Genotyping Presentation Jonathan Schildcrout, Vanderbilt University Medical Center
2:30 PM	Data Enriched Regression via Generalized Linear Models Ying Qing Chen, Fred Hutchinson Cancer Research Center; Sayan Dasgupta, Fred Hutchinson Cancer Research Center; Cheng Zheng, University of Wisconsin at Milwakee; Yuxiang Xie, University of Washington
2:55 PM	Integrative Analysis of Multivariate Temporal Biomarkers in Electronic Health Records Donglin Zeng, UNC Chapel Hill
3:20 PM	Learning Treatment Strategies from Randomized Trials Supplemented by Information in Electronic Health Records Yuanjia Wang, Columbia University
3:45 PM	Floor Discussion

223 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-703
The P-Value Controversy: Where Do We Go from Here? — Invited Panel
Biopharmaceutical Section, Biometrics Section, ENAR
Organizer(s): Pranab K Mitra, Merck
Chair(s): Pranab K Mitra, Merck
2:05 PM	The P-Value Controversy: Where Do We Go from Here? Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists:	David Gal, University of Illinois at Chicago Jeffrey Blume, Vanderbilt University Lisa Strug Michael Lavine, University of Massachusetts, Amherst Philip B. Stark, UC Berkeley Xihong Lin, Harvard
3:40 PM	Floor Discussion

225 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-710
The Human Microbiome: From Discovery Studies to Statistical Predictive Personalized Medicine — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Yi-Hui Zhou, North Carolina State University
Chair(s): Wenxuan Zhong, University of Georgia
2:05 PM	The Machine Learning Methods Review for Microbiome Host Trait Prediction Yi-Hui Zhou, North Carolina State University
2:25 PM	A Zero?Inflated Beta?Binomial Model for Microbiome Data Analysis Tao Hu, Clindata Insight Inc.
2:45 PM	Predictive Modeling of Microbial Community Data Using Phylogeny-Regularized Regression Models Jun Chen, Mayo Clinic
3:05 PM	Meta-Analysis of Large Metagenomic Data Sets at Strain-Level Resolution Presentation Edoardo Pasolli, University of Naples Federico II
3:25 PM	Discussant: Fred A Wright, North Carolina State University
3:45 PM	Floor Discussion

226 *	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-111
Causal Inference with Spatial Environmental Data — Topic Contributed Papers
Royal Statistical Society, Section on Statistics and the Environment, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Corwin Zigler, University of Texas at Austin
Chair(s): Corwin Zigler, University of Texas at Austin
2:05 PM	Causal Spatial Analysis in the Presence of Unmeasured Confounders Presentation Brian Reich, North Carolina State University; Shu Yang, North Carolina State University; Yawen Guan, North Carolina State University
2:25 PM	Causal Inference with Interfering Units for Cluster and Population Level Treatment Allocation Programs Presentation Georgia Papadogeorgou, Duke; Fabrizia Mealli, University of Florence; Corwin Zigler, University of Texas at Austin
2:45 PM	Measurement Error, Spatial Confounding, and Changing Target Populations Joshua Keller, Colorado State University
3:05 PM	Causal Inference and Casual Spatial Models: The Importance of Modeling Mechanism in Spatial Data Presentation Ephraim Hanks, Pennsylvania State University
3:25 PM	Floor Discussion

227 *	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-709
Recent Advances in the Design and Analysis of Multi-Reader Imaging Studies — Topic Contributed Papers
Section on Medical Devices and Diagnostics, Biometrics Section, ENAR
Organizer(s): Joanna H Shih, National Cancer Institute
Chair(s): Joanna H Shih, National Cancer Institute
2:05 PM	Relationship Between Obuchowski-Rockette and Gallas U-Statistic Methods for Analyzing Multi-Reader Diagnostic Imaging Data Stephen Hillis, University of Iowa
2:25 PM	Assigning Readers to Cases in Multi-Reader Multi-Case Imaging Studies Using Balanced Incomplete Block Designs Presentation Erich Huang, National Cancer Institute
2:45 PM	Analyzing Readers’ Performance in Detection-Localization Tasks Andriy Bandos, University of Pittsburgh
3:05 PM	Adaptive Design and Analysis of Multi-Reader Multi-Case Studies Weijie Chen, Food and Drug Administration; Zhipeng Huang, FDA/CDER; Frank Samuelson, FDA/CDRH; Lucas Tcheuko, FDA/CTP
3:25 PM	Discussant: Alicia Toledano, Biostatistics Consulting, LLC
3:45 PM	Floor Discussion

229 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-708
Advances in the Neyman-Pearson Classification — Topic Contributed Papers
WNAR, Health Policy Statistics Section, Biometrics Section, Text Analysis Interest Group
Organizer(s): Jingyi Jessica Li, University of California, Los Angeles
Chair(s): Jingyi Jessica Li, University of California, Los Angeles
2:05 PM	Neyman-Pearson Classification: An Umbrella Algorithm Xin Tong, University of Southern California; Yang Feng, Columbia University; Jingyi Jessica Li, University of California, Los Angeles
2:25 PM	A Unified View of Asymmetric Binary Classification Wei Vivian Li, University of California, Los Angeles; Jingyi Jessica Li, University of California, Los Angeles; Xin Tong, University of Southern California
2:45 PM	Neyman-Pearson Classification: Parametrics and Power Enhancement Yang Feng, Columbia University
3:05 PM	Intentional Control of Type I Error Over Unconscious Data Distortion: a Neyman-Pearson Approach to Text Classification Presentation Richard Zhao, Pennsylvania State University; Lucy Xia, Stanford University; Xin Tong, University of Southern California; Yanhui Wu, University of Southern California
3:25 PM	Neyman-Pearson Criterion (NPC): a Model Selection Criterion for Asymmetric Binary Classification Presentation Yiling Chen, University of California, Los Angeles; Jingyi Jessica Li, University of California, Los Angeles; Xin Tong, University of Southern California
3:45 PM	Floor Discussion

233 !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-712
Innovative Approaches for High-Dimensional Omics and Neuroimaging Data — Topic Contributed Papers
International Indian Statistical Association, Biometrics Section, Section on Statistics in Genomics and Genetics
Organizer(s): Subharup Guha, University of Florida
Chair(s): Subharup Guha, University of Florida
2:05 PM	Are We There Yet: Differential Analysis of Single-Cell RNA Sequencing Data? Susmita Datta, ASA Committee on Women in Statisitcs
2:25 PM	Expression-Level-Dependent Correlation Structure Estimation for Repeated-Measures RNA-Seq Data Presentation Dan Nettleton, Iowa State University; Meiling Liu, Iowa State University
2:45 PM	Efficient Approaches for Dynamic Modeling of Multivariate Time Series Raquel Prado, UC Santa Cruz-Baskin School of Engineering
3:05 PM	Mediation Analysis for Zero-Inflated Mediators Presentation Zhigang Li, University of Florida; Janaka Peragaswaththe Liyanage, University of Florida; A. James O'Malley, Dartmouth College; Susmita Datta, ASA Committee on Women in Statisitcs
3:25 PM	Nonparametric Bayes Multiresolution Testing for Detecting Rare Variants Jyotishka Datta, University of Arkansas; David Dunson, Duke University
3:45 PM	Floor Discussion

234	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-707
Novel Statistical Methods for High-Dimensional Microbiome and Metagenomics Data Analysis — Topic Contributed Papers
Section on Statistics in Epidemiology, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Chan Wang, Division of Biostatistics, NYU School of Medicine
Chair(s): Jiyuan Hu, New York Unversity School of Medicine
2:05 PM	Analyzing Matched Sets of Microbiome Data Using LDM Presentation Yijuan Hu, Emory University; Zhengyi Zhu, Emory University; Caroline Mitchell, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Harvard Medical S; Glen Alan Satten, Centers for Disease Control and Prevention
2:25 PM	Association Testing and Feature Selection for Microbiome and Host Genomics Anna Plantinga, Williams College; Michael C. Wu, Fred Hutchinson Cancer Research Center
2:45 PM	Multivariable Association in Population-Scale Meta'omic Surveys Himel Mallick, Merck & Co., Inc.; Timothy Tickle, Broad Institute; Lauren McIver, Harvard University; Gholamali Rahnavard, Broad Institute; Long Nguyen, Massachusetts General Hospital; George Weingart, Harvard University; Siyuan Ma, Harvard University; Boyu Ren, Harvard University; Emma Schwager, Harvard University; Ayshwarya Subramanian, Broad Institute; Joseph Paulson, Genentech; Eric A. Franzosa, Harvard University; Hector Corrada Bravo, University of Maryland; Curtis Huttenhower, Harvard University
3:05 PM	Robust Regression for Microbiome Data Analysis Presentation 1 Presentation 2 Aditya Mishra, Flatiron Institute; Christian Lorenz Mueller, Flatiron Institute, Simons Foundation
3:25 PM	Estimating and Testing the Microbial Causal Mediation Effect with High-Dimensional and Compositional Microbiome Data Presentation Chan Wang, Division of Biostatistics, NYU School of Medicine; Jiyuan Hu, New York Unversity School of Medicine; Martin Blaser, New York University School of Medicine and Rutgers University; Huilin Li, NYU School of Medicine
3:45 PM	Floor Discussion

237	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-501
SPEED:Statistical Methods for GWAs, Genetics, Genomics, and Other Omics Studies, Part 1 — Contributed Speed
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, Section on Bayesian Statistical Science, Biometrics Section
Chair(s): Stanley Pounds, St. Jude Children's Research Hospital
Poster Presentations for this session.
2:05 PM	Multivariate Association Analysis with Correlated Traits in Families Presentation Souvik Seal, Division of Biostatistics, University of Minnesota
2:10 PM	Trans-Ethnic Meta-Analysis of Metabolic Syndrome in a Multi-Ethnic Study Presentation Emileigh L. Willems, University of Colorado Denver; Jia Y. Wan, University of California Irvine; Trina M. Norden-Krichmar, University of California Irvine; Karen L. Edwards, University of California Irvine; Stephanie A. Santorico, University of Colorado Denver
2:15 PM	Rare Variant Association Tests for Multiple Ancestries Using Common Controls Presentation Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
2:20 PM	GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics Wei Jiang, Yale University; Hongyu Zhao, Yale
2:25 PM	Sparse Estimation of Genetic Relatedness to Control for Population Structure and Sample Relatedness in Genome-Wide Association Studies Rounak Dey, Harvard TH Chan School of Public Health; Yaowu Liu, Harvard TH Chan School of Public Health; Zilin Li, Harvard TH Chan School of Public Health; Junwei Lu, Harvard TH Chan School of Public Health; Zheng Tracy Ke, Harvard University; Xihong Lin, Harvard
2:25 PM	Sparse Mediation Analysis Using Mixture Models Yanyi Song, University of Michigan; Xiang Zhou, University of Michigan; Min Zhang, University of Michigan; Wei Zhao, University of Michigan; Yongmei Liu, Wake Forest School of Medicine; Sharon Kardia, University of Michigan; Ana Diez Roux, Drexel University; Belinda Needham, University of Michigan; Jennifer Smith, University of Michigan; Bhramar Mukherjee, University of Michigan
2:30 PM	Fine Mapping Causal Variants with Functional Annotations Sheila Gaynor, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard
2:35 PM	Leveraging EQTLs to Identify Tissue-Specific Genetic Subtype of Complex Trait Arunabha Majumdar, University of California, Los Angeles; Claudia Giambartolomei, University of California, Los Angeles; Na Cai, European Bioinformatics Institute (EMBL-EBI); Malika Kumar Freund, University of California, Los Angeles; Bogdan Pasaniuc, University of California, Los Angeles
2:40 PM	Trait Evolution on Two Gene Trees Presentation James Degnan, University of New Mexico; Huan Jiang, Dialysis INC
2:45 PM	Intergrated Quantile Rank Test (IQRAT) for Heterogeneous Joint Effect of Rare and Common Variants in Sequencing Studies Tianying Wang, Columbia University, Biostatistics Department; Iuliana Ionita-Laza , Columbia University, Biostatistics Department; Ying Wei, Columbia University, Biostatistics Department
2:50 PM	An Integrative Analysis of DNA Copy Number and SNP Markers to Localize Causal Gene Region Qi You Yu, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Tzu-Pin Lu, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Jung-Ying Tzeng, North Carolina State University; Tzu-Hung Hsiao, Taichung Veterans General Hospital, Taiwan; Ching-Heng Lin, Taichung Veterans General Hospital, Taiwan
3:00 PM	Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics Presentation Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
3:05 PM	A Flexible Bayesian Framework to Study Viral Trait Evolution Paul Bastide, Rega Institute, KU Leuven; Guy Baele, Rega Institute / KU Leuven; Marc Suchard, UCLA; Philippe Lemey, Rega Institute, KU Leuven
3:10 PM	Fully Bayesian Imputation Model for MNAR Data in QPCR Presentation Valeriia Sherina; Matthew N McCall, University of Rochester Medical Center; Tanzy M.T. Love, University of Rochester Medical Center
3:15 PM	Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models Presentation Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
3:20 PM	Prediction with Microbiome Sequencing Data via Multi-Kernel Learning Presentation Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
3:25 PM	A Hierarchical Pitman-Yor Model for the Evolution of Phenotype Distribution on a Phylogenetic Tree Presentation Hanxi Sun, Purdue Statistics; Heejung Shim, University of Melbourne, Australia; Vinayak Rao, Purdue University
3:30 PM	A New Sparse Network Model for High-Throughput Count Data Presentation Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
3:35 PM	A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data Presentation Shuang Jiang, Southern Methodist University
3:45 PM	A Feature Allocation Model for Cytometry by Time-Of-Flight Data Arthur Lui, University of California - Santa Cruz; Juhee Lee, University of California, Santa Cruz; Peter Thall, U.T. M.D. Anderson Cancer Center; Katy Rezvani, M.D. Anderson Cancer Center

239 * !	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-706
Study Design and Analysis for Complex Survival Data — Contributed Papers
Biometrics Section
Chair(s): Jeffrey A. Thompson, University of Kansas Medical Center
2:05 PM	Accounting for Preinvasive Conditions in the Analysis of Cancer Risk: With Application to Breast Cancer and the Sister Study Jung In Kim, NIEHS/UNC; Jason Fine, University of North Carolina - Chapel Hill; Shanshan Zhao, National Institute of Environmental Health Sciences
2:20 PM	Estimating Menarcheal Age Distribution from Partially Recalled Data Sedigheh Mirzaei Salehabadi, St. Jude Children's Research Hospital; Debasis Sengupta, Indian Statistical Institute; Rahul Ghosal, North Carolina State University
2:35 PM	Bayesian Optimality of Testing Procedures for Survival Data in the Non-Proportional Hazards Setting Presentation Andrea Arfè; Lorenzo Trippa, Dana-Farber Cancer Institute; Brian Alexander, Dana-Farber Cancer Institute
2:50 PM	Sample Size Calculation for Cluster Randomization Trials with a Time-To-Event Endpoint Presentation Jianghao Li, Duke University Department of Biostatistics and Bioinformatics; Sin-Ho Jung, Duke University Department of Biostatistics and Bioinformatics
3:05 PM	Group Sequential Design for Trials with Time-To-Event Endpoint Using the Proportional Time Assumption Milind Phadnis, University of Kansas Medical Center
3:20 PM	Concordance Index for Competing Risks Data in Discrete Time Presentation Natalia A. Gouskova, Marcus Institute for Aging Research; Thomas G. Travison, Marcus Institute for Aging Research
3:35 PM	Model Checking for Subdistribution Hazards Model Under Case-Cohort Design Yayun Xu, Medical College of Wisconsin; Mei-Jie Zhang, Medical College of Wisconsin; Soyoung Kim, Medical College of Wisconsin

218844	Mon, 7/29/2019, 5:30 PM - 7:00 PM	H-Mineral Hall E
Biometrics Section Social Mixer and Business Meeting — Other Cmte/Business
Biometrics Section
Chair(s): Sheng Luo, Duke University Medical Center

CE_21C	Tue, 7/30/2019, 8:00 AM - 12:00 PM	CC-405
Measuring the Impact of Nonignorable Missing Data (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Daniel Heitjan, Southern Methodist University; Hui Xie, Simon Fraser University
The popular but typically unverifiable assumption of ignorability greatly simplifies analyses with incomplete data, both conceptually and computationally. We say that missingness is ignorable when the probability that an observation is missing depends only on fully observed information, and nonignorable when the probability that an observation is missing depends on the value of the observation, even after conditioning on available design variables and covariates. For example, in a clinical trial the data are plausibly nonignorably missing when the subjects who drop out are those for whom the drug is either ineffective or excessively toxic. The possibility that the missing observations in a study are the result of a nonignorable mechanism casts doubt on the validity of conclusions based on the assumption of ignorability. Unfortunately, it is generally impossible to robustly assess the validity of this assumption with just the data at hand. One way to address this problem is to conduct a local sensitivity analysis: Essentially, re-compute estimated parameters of interest under models that slightly violate the assumption of ignorability. If the parameters change only modestly under violation of the assumption, then it is safe to proceed with an ignorable model. If they change drastically, then a simple ignorable analysis is of questionable validity. To conduct such a sensitivity analysis in a systematic and efficient way, we have developed a measure that we call the index of local sensitivity to nonignorability (ISNI), which evaluates the rate of change of parameter estimates in the neighborhood of an ignorable model. Computation of ISNI is straightforward and avoids the need to estimate a nonignorable model or to posit a specific magnitude of nonignorability. We have developed a suite of statistical methods for ISNI analysis, now implemented in an R package named isni. In this half-day short course we will describe these methods and train users to apply them to inform evaluations of the reliability of empirical findings when data are incomplete.
8:00 AM	Measuring the Impact of Nonignorable Missing Data (ADDED FEE) Daniel Heitjan, Southern Methodist University; Hui Xie, Simon Fraser University

273 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-109
How Advanced Analytic Tools Deliver Insights for Clinical Investigations Through Real World Data — Invited Papers
Biopharmaceutical Section, Biometrics Section, ENAR
Organizer(s): Junjing Lin, AbbVie
Chair(s): Margaret Gamalo-Siebers, Eli Lilly
8:35 AM	Incorporating Prior Knowledge on Phenotyping Accuracy for Association Studies Using Electronic Health Records Data Yong Chen, University of Pennsylvania; Jing Huang, University of Pennsylvania
8:55 AM	Challenges When Applying Advanced Analytics to Multiple Data Sources David Ohlssen, Novartis
9:15 AM	Predict Phase 3 Clinical Trial Results Using Phase 2 Data and Electronic Health Records Qi Tang, Sanofi; Youran Qi, University of Wisconsin
9:35 AM	Analytic Strategies of Using Propensity Scores in Clinical Data Augmentation Junjing Lin, AbbVie; Margaret Gamalo-Siebers, Eli Lilly; Ram Tiwari, CDRH, FDA
9:55 AM	Discussant: Yunling Xu, FDA/CDRH
10:15 AM	Floor Discussion

276 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-108
Statistical Methods for Improving Inferences and Decision-Making in Population Health — Invited Papers
ENAR, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Zhenke Wu, University of Michigan
Chair(s): Jacob Fiksel, Johns Hopkins Bloomberg School of Public Health
8:35 AM	Bayesian Calibration of Verbal Autopsy Algorithms in Data-Scarce Settings Abhi Datta, Johns Hopkins Bloomberg School of Public Health
9:00 AM	Robust Decisions from Modeled Estimators Jishnu Das, The World Bank; Roy Van der Weide, The World Bank; Tyler McCormick, University of Washington
9:25 AM	Bayesian Restricted Latent Class Models for Estimating Disease Etiologies Presentation Zhenke Wu, University of Michigan; Scott L Zeger, Johns Hopkins Bloomberg School of Public Health
9:50 AM	Discussant: Amy H Herring, Duke University
10:15 AM	Floor Discussion

277 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-506
Statistical Methods for Composite Time-To-Event Endpoints — Invited Papers
Lifetime Data Science Section, ENAR, Biometrics Section
Organizer(s): Lu Mao, University of Wisconsin-Madison
Chair(s): Ting Ye, University of Wisconsin at Madison
8:35 AM	A Class of Proportional Win Fractions Regression Models for Composite Endpoints Lu Mao, University of Wisconsin-Madison
8:50 AM	Semiparametric Regression Analysis for Composite Endpoints Subject to Component-Wise Censoring Guoqing Diao, George Mason University; Donglin Zeng, UNC Chapel Hill; Chunlei Ke, Biogen; Haijun Ma, Amgen Inc.; Qi Jiang, Amgen; Joseph G Ibrahim, UNC
9:05 AM	Nonparametric Estimation of the Curtailed Win-Ratio David Oakes , University of Rochester
9:20 AM	Some Meaningful Weighted Win Loss Statistics Presentation Xiaodong Luo; Hui Quan, Sanofi US
9:35 AM	Stratified Win Ratio and Handling of Ties Presentation Gaohong Dong, iStats Inc.; Junshan Qiu, FDA/CDER; Roland A. Matsouaka, Duke University School of Medicine; Victoria Chang, Abbvie; Jiuzhou Wang, ImmunoGen Inc.; David C. Hoaglin, University of Massachusetts Medical School; Marc Vandemeulebroecke, Novartis Phama AG
9:50 AM	Discussant: KyungMann Kim, University of Wisconsin-Madison
10:05 AM	Floor Discussion

281 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-205
When Statistical Methods Impact Policy — Invited Panel
Health Policy Statistics Section, Biometrics Section
Organizer(s): Sherri Rose, Harvard Medical School
Chair(s): Samrachana Adhikari, New York University
8:35 AM	When Statistical Methods Impact Policy Presentation
Panelists:	Dionne Price, Food and Drug Administration Michael Baiocchi, Stanford University Miguel Marino, Oregon Health Sciences University Sherri Rose, Harvard Medical School
10:15 AM	Floor Discussion

284	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-101
ASA Biometrics Section JSM Travel Awards (II) — Topic Contributed Papers
Biometrics Section
Organizer(s): Rebecca Hubbard, University of Pennsylvania
Chair(s): Elizabeth Ogburn, Johns Hopkins Bloomberg School of Public Health
8:35 AM	Integrated Principal Components Analysis Presentation Tiffany M Tang, University of California at Berkeley; Genevera Allen, Rice University
8:55 AM	Are Clusterings of Multiple Data Views Independent? Presentation Lucy Gao, University of Washington; Daniela Witten, University of Washington; Jacob Bien, University of Southern California
9:15 AM	High-Dimensional Log-Error-In-Variable Regression with Applications to Microbial Compositional Data Analysis Pixu Shi, University of Wisconsin-Madison; Yuchen Zhou, University of Wisconsin-Madison; Anru Zhang, University of Wisconsin-Madison
9:35 AM	A Spatial Bayesian Modeling Approach for Cortical Surface fMRI Data Analysis Amanda Mejia, IU; Yu Yue, The City University of New York; David Bolin, University of Gothenburg; Finn Lindgren, University of Edinburgh; Martin Lindquist, Johns Hopkins University
9:55 AM	Tailored Optimal Post-Treatment Surveillance for Cancer Recurrence Rui Chen, UW-Madison Dept. of Statistics; Menggang Yu, University of Wisconsin-Madison
10:15 AM	Floor Discussion

296	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-105
SPEED: Biometrics - Methods and Application, Part 1 — Contributed Speed
Biometrics Section, Section on Bayesian Statistical Science
Chair(s): Katherine E Irimata, National Center for Health Statistics
Poster Presentations for this session.
8:35 AM	Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts Presentation Donna Ankerst, Technical University of Munich; Johanna Tolksdorf, Technical University of Munich
8:40 AM	An Exponential Effect Persistence Model for Intensive Longitudinal Data Claude Setodji, RAND Corporation; Steven C. Martino, RAND Corporation; Michael S. Dunbar, RAND Corporation; William G. Shadel, RAND Corporation
8:45 AM	Analyzing Pre-Post Randomized Studies with One Post-Randomization Score Using Repeated Measures and ANCOVA Models Presentation 1 Presentation 2 Fei Wan, University of Arkansas for Medical Sciences
8:50 AM	Spectral Parameterization, Diagnostics, and Remedies for Confounding of Fixed Effects by Random Effects Presentation 1 Presentation 2 Patrick Schnell, Ohio State University; Maitreyee Bose, Amgen
8:55 AM	Differential Abundance Analyzes of Pre- and Post-Metabolomic Data with Steroid Treatment for Bronchopulmonary Dysplasia Prabhakar Chalise, University of Kansas Medical Center; Tamorah R Lewis, Children’s Mercy Hospital, University of Missouri Kansas City
9:05 AM	SignNets: Fine Tuning Gene-Gene Similarity Metrics in Biological Systems Presentation 1 Presentation 2 Crystal Shaw, UCLA; Vinayagam Arunachalam, Pfizer, Inc.; Jadwiga R Bienkowska, Pfizer, Inc.
9:10 AM	To EM or Not to EM: Updated Estimation of the Probability of Clonal Relatedness of Pairs of Tumors in Cancer Patients Presentation Audrey Mauguen, Memorial Sloan Kettering Cancer Center; Venkatraman E. Seshan, MSKCC; Irina Ostrovnaya, MSKCC; Colin Begg, Memorial Sloan Kettering Cancer Center
9:15 AM	Is it ‘random’ or ‘haphazard’? Demonstrating Effects of Nonrandom Allocation by Simulation Presentation Penny Reynolds, University of Florida College of Medicine
9:20 AM	Estimating Optimal Treatment Regime to Maximize Restricted Mean Survival Time Sanhita Sengupta, University of Minnesota
9:30 AM	Item Response Theory Models for Survival Analysis and the Detection of Treatment Efficacy Presentation Charlie Iaconangelo, Pharmerit International
9:35 AM	Similarity-Based Probability Weighted Learning for Individual Treatment Rule Estimation Presentation Jinchun Zhang, New York University; Andrea B Troxel, NYU School of Medicine; Eva Petkova, New York University
9:40 AM	Multivariate Longitudinal Data from Eyes - Microperimetry Macular Sensitivity Loss in Patients with Stargardt Disease Presentation Zhengfan Wang, UMASS-Amherst; Xiangrong Kong, Johns Hopkins University
9:45 AM	On Powerful Exact Nonrandomized Tests for the Poisson Two-Sample Setting Stefan Wellek, CIMH Mannheim/University of Heidelberg, Germany/University of Mainz, Germany
9:50 AM	Survey Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort Presentation Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics
9:55 AM	Two-Way Partial AUC and Its Properties Presentation Kun Lu, Princeton University; Hanfang Yang, Renmin University of China; Xiang Lv, University of California, Berkeley; Feifang Hu, George Washington University
10:00 AM	Relative Risk Estimation in Clustered/Longitudinal Data Using Generalized Estimating Equations (GEE) Presentation Chao Zhu, Menzies Institute for Medical Research, University of Tasmania; David W Hosmer, University of Vermont; Jim Stankovich, School of Medicine, University of Tasmania, Central Clinical School, Monash University; Karen Wills, Menzies Institute for Medical Research, University of Tasmania ; Leigh Blizzard, Menzies Institute for Medical Research, University of Tasmania
10:05 AM	Variance Estimation When Combining Inverse Probability Weighting and Multiple Imputation in Electronic Health Records-Based Research Presentation Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
10:10 AM	Bayesian Generalized Mixed-Effect Modeling of Conway-Maxwell Poisson Data Presentation Morshed Alam, University of Nebraska Medical Center; Meza Jane, University of Nebraska Medical center; Yeongjin Gwon, University of Nebraska Medical Center
10:15 AM	Floor Discussion

298	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-107
Model/Variable Selection and Model Evaluation — Contributed Papers
Biometrics Section
Chair(s): Lindsay Renfro, University of Southern California and Children's Oncology Group
8:35 AM	Are Linear Models Sufficient for Analyzing Adolescent BMI Z-Scores? Presentation Christopher Wichman, University of Nebraska Medical Center; Nicholas Hein, University of Nebraska Medical Center
8:50 AM	Model Confidence Bounds for Variable Selection Yang Li, Renmin University of China
9:05 AM	Variable Selection in Enriched Dirichlet Process with Applications to Causal Inference Kumaresh Dhara, University of Florida; Michael Daniels, University of Florida
9:20 AM	Maximum Likelihood Estimation of a Truncated Normal Distribution with Censored Data Presentation Justin R Williams, UCLA; Hyung-Woo Kim, Alcon Laboratories, Inc.; Kate Crespi
9:35 AM	Integrative Multi-View Regression: Statistical Inference with De-Biased and Scaled Composite Nuclear Norm Penalization Xiaokang Liu, University of Connecticut; Kun Chen, University of Connecticut
9:50 AM	Comparing Strategies in Estimating Variance of Risk Ratios with Random Population Sizes Presentation Tracy Pondo, CDC; Laura A Cooley, CDC
10:05 AM	Stochastic Covariates in Poisson Regression Evrim Oral, LSUHSC School of Public Health, Department of Biostatistics

CE_24C	Tue, 7/30/2019, 8:30 AM - 5:00 PM	CC-403/404
An Introduction to the Joint Modeling of Longitudinal and Survival Data, with Applications in R (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Dimitris Rizopoulos, Erasmus University Medical Center
In follow-up studies, different types of outcomes are typically collected for each subject. These include longitudinally measured responses (e.g., biomarkers), and the time until an event of interest occurs (e.g., death, dropout). Often these outcomes are separately analyzed, but on many occasions, it is of scientific interest to study their association. This type of research question has given rise in the class of joint models for longitudinal and time-to-event data. These models constitute an attractive paradigm for the analysis of follow-up data that is mainly applicable in two settings: First, when focus is on a survival outcome, and we wish to account for the effect of endogenous time-dependent covariates measured with error, and second, when focus is on the longitudinal outcome and we wish to correct for non-random dropout. This full-day course is aimed at applied researchers and graduate students and will provide a comprehensive introduction to this modeling framework. We will explain when these models should be used in practice, which are the key assumptions behind them, and how they can be utilized to extract relevant information from the data. Emphasis is given on applications, and after the end of the course, participants will be able to define appropriate joint models to answer their questions of interest. Necessary background for the course: This course assumes knowledge of basic statistical concepts, such as standard statistical inference using maximum likelihood, and regression models. Also, basic knowledge of R would be beneficial but is not required. Participants are required to bring their laptop with the battery fully charged. Before the course instructions will be sent for installing the required software.
8:30 AM	An Introduction to the Joint Modeling of Longitudinal and Survival Data, with Applications in R (ADDED FEE) Dimitris Rizopoulos, Erasmus University Medical Center

310	Tue, 7/30/2019, 9:25 AM - 10:10 AM	CC-Hall C
SPEED:Statistical Methods for GWAs, Genetics, Genomics, and Other Omics Studies, Part 2 — Contributed Poster Presentations
Section on Statistics in Genomics and Genetics, International Chinese Statistical Association, Section on Bayesian Statistical Science, Biometrics Section
Chair(s): Stanley Pounds, St. Jude Children's Research Hospital
Oral Presentations for this session.
1:	Multivariate Association Analysis with Correlated Traits in Families Souvik Seal, Division of Biostatistics, University of Minnesota
2:	Trans-Ethnic Meta-Analysis of Metabolic Syndrome in a Multi-Ethnic Study Emileigh L. Willems, University of Colorado Denver; Jia Y. Wan, University of California Irvine; Trina M. Norden-Krichmar, University of California Irvine; Karen L. Edwards, University of California Irvine; Stephanie A. Santorico, University of Colorado Denver
3:	Rare Variant Association Tests for Multiple Ancestries Using Common Controls Megan Sorenson, University of Colorado Denver; Audrey E Hendricks, University of Colorado Denver
4:	GWEB: An Empirical-Bayes-Based Approach for Heritability Estimation, Statistical Fine-Mapping and Genetic Risk Prediction Using GWAS Summary Statistics Wei Jiang, Yale University; Hongyu Zhao, Yale
5:	Sparse Estimation of Genetic Relatedness to Control for Population Structure and Sample Relatedness in Genome-Wide Association Studies Rounak Dey, Harvard TH Chan School of Public Health; Yaowu Liu, Harvard TH Chan School of Public Health; Zilin Li, Harvard TH Chan School of Public Health; Junwei Lu, Harvard TH Chan School of Public Health; Zheng Tracy Ke, Harvard University; Xihong Lin, Harvard
6:	Fine Mapping Causal Variants with Functional Annotations Sheila Gaynor, Harvard T.H. Chan School of Public Health; Xihong Lin, Harvard
7:	Leveraging EQTLs to Identify Tissue-Specific Genetic Subtype of Complex Trait Arunabha Majumdar, University of California, Los Angeles; Claudia Giambartolomei, University of California, Los Angeles; Na Cai, European Bioinformatics Institute (EMBL-EBI); Malika Kumar Freund, University of California, Los Angeles; Bogdan Pasaniuc, University of California, Los Angeles
8:	Trait Evolution on Two Gene Trees James Degnan, University of New Mexico; Huan Jiang, Dialysis INC
9:	Intergrated Quantile Rank Test (IQRAT) for Heterogeneous Joint Effect of Rare and Common Variants in Sequencing Studies Tianying Wang, Columbia University, Biostatistics Department; Iuliana Ionita-Laza , Columbia University, Biostatistics Department; Ying Wei, Columbia University, Biostatistics Department
10:	An Integrative Analysis of DNA Copy Number and SNP Markers to Localize Causal Gene Region Qi You Yu, National Taiwan University; Chuhsing Kate Hsiao, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Tzu-Pin Lu, Institute of Epidemiology and Preventive Medicine, National Taiwan University, Taiwan; Jung-Ying Tzeng, North Carolina State University; Tzu-Hung Hsiao, Taichung Veterans General Hospital, Taiwan; Ching-Heng Lin, Taichung Veterans General Hospital, Taiwan
11:	Bayesian Generalized Fused Hierarchical Structured Variable Selection Prior for Pathway-Based GWAS Using Summary Statistics Yi Yang, University of Minnesota; Saonli Basu, University of Minnesota, Biostatistics SPH; Lin Zhang, Division of Biostatistics, University of Minnesota
12:	A Flexible Bayesian Framework to Study Viral Trait Evolution Paul Bastide, Rega Institute, KU Leuven; Guy Baele, Rega Institute / KU Leuven; Marc Suchard, UCLA; Philippe Lemey, Rega Institute, KU Leuven
13:	Fully Bayesian Imputation Model for MNAR Data in QPCR Valeriia Sherina; Matthew N McCall, University of Rochester Medical Center; Tanzy M.T. Love, University of Rochester Medical Center
14:	Predicting Patient Sensitivity Using Gene-Treatment Interactions with Bayesian Shrinkage Models Arinjita Bhattacharyya, University of Louisville; Subhadip Pal, University of Louisville; Riten Mitra, University of Louisville; Shesh N Rai, University of Louisville
15:	Prediction with Microbiome Sequencing Data via Multi-Kernel Learning Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
16:	A Hierarchical Pitman-Yor Model for the Evolution of Phenotype Distribution on a Phylogenetic Tree Hanxi Sun, Purdue Statistics; Heejung Shim, University of Melbourne, Australia; Vinayak Rao, Purdue University
17:	A New Sparse Network Model for High-Throughput Count Data Caesar (Zexuan) Li, University of California, Los Angeles; Gang Li, UCLA; Eric Kawaguchi, UCLA Department of Biostatistics
18:	A Bayesian Zero-Inflated Negative Binomial Regression Model for the Integrative Analysis of Microbiome Data Shuang Jiang, Southern Methodist University
19:	Sparse Mediation Analysis Using Mixture Models Yanyi Song, University of Michigan; Xiang Zhou, University of Michigan; Min Zhang, University of Michigan; Wei Zhao, University of Michigan; Yongmei Liu, Wake Forest School of Medicine; Sharon Kardia, University of Michigan; Ana Diez Roux, Drexel University; Belinda Needham, University of Michigan; Jennifer Smith, University of Michigan; Bhramar Mukherjee, University of Michigan
20:	A Feature Allocation Model for Cytometry by Time-Of-Flight Data Arthur Lui, University of California - Santa Cruz; Juhee Lee, University of California, Santa Cruz; Peter Thall, U.T. M.D. Anderson Cancer Center; Katy Rezvani, M.D. Anderson Cancer Center
Oral Presentations for this session.

321 !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-107
Causal Inference in Vaccine Trials and Outbreak Investigations: Epidemiologic Study Design and Statistical Analysis — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, American Public Health Association
Organizer(s): Eben Kenah, The Ohio State University
Chair(s): Eben Kenah, The Ohio State University
10:35 AM	Chasing Cases: Customizing Vaccine Trials for Emerging Infectious Diseases Presentation Natalie E Dean, University of Florida; M Elizabeth Halloran, University of Washington and Fred Hutchinson Cancer Research Center; Ira M. Longini, University of Florida
10:55 AM	Healthcare Infection Prevention – a Need for Better Aligning Research Questions with the Decisions They Inform Presentation Justin O'Hagan, Centers for Disease Control and Prevention
11:15 AM	Estimating Causal Effects of Vaccines Under Interference from Randomized and Partially Randomized Studies M Elizabeth Halloran, University of Washington and Fred Hutchinson Cancer Research Center
11:35 AM	Randomization for the Direct Effect of an Infectious Disease Intervention in a Clustered Study Population Forrest W Crawford, Yale School of Public Health; Olga Morozova, Yale School of Public Health; Daniel Eck, Yale School of Public Health
11:55 AM	Discussant: Michael Hudgens, University of North Carolina at Chapel Hill
12:15 PM	Floor Discussion

322 !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-106
Time-To-Event Models in Complex Observational Studies — Invited Papers
Biometrics Section, ENAR, Biopharmaceutical Section
Organizer(s): Soutrik Mandal, National Cancer Institute
Chair(s): Ana Maria Ortega-Villa, National Institutes of Health
10:35 AM	A Copula Model Approach for Regression Analysis of Informatively Interval-Censored Failure Time Data Presentation (Tony) Jianguo Sun, University of Missouri
11:00 AM	Validating Risk Prediction Models with Sub-Samples of Cohorts Ruth Pfeiffer, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics; Yei Eun Shin, National Cancer Institute
11:25 AM	Cure Rate Frailty Models for Clustered Current Status Data with Informative Cluster Size Kejun He, Renmin University; Wei Ma, Renmin University; Tong Wang, Texas A&M University; Dipankar Bandyopadhyay, Virginia Commonwealth University; Samiran Sinha, Texas A&M University
11:50 AM	Goodness-of-Fit Tests for the Linear Transformation Models with Interval-Censored Data Presentation Soutrik Mandal, National Cancer Institute; Suojin Wang, Texas A&M University; Samiran Sinha, Texas A&M University
12:15 PM	Floor Discussion

324 *	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-205
The Juggling Collaborative Statistician: Which Balls to Drop? — Invited Panel
Section on Statistical Consulting, Committee on Applied Statisticians, Biometrics Section, Korean International Statistical Society
Organizer(s): Julia L Sharp, Colorado State University
Chair(s): Mary J Kwasny, Northwestern University
10:35 AM	The Juggling Collaborative Statistician: Which Balls to Drop? Presentation 1 Presentation 2
Panelists:	Alexandra Hanlon, University of Pennsylvania Emily Griffith, North Carolina State University Ji-Hyun Lee, University of Florida Julia L Sharp, Colorado State University Jungwha Julia Lee, Northwestern University Mimi Kim, Albert Einstein College of Medicine
12:15 PM	Floor Discussion

328 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-112
Integrative Approaches for Statistical Analysis of Data from Multiple Sources — Topic Contributed Papers
ENAR, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Irina Gaynanova, Texas A&M Univeristy
Chair(s): Irina Gaynanova, Texas A&M Univeristy
10:35 AM	Dynamic Systems Approach to Deep Learning with Different Types of Data Sets and Its Application to Prediction of Alzheimer’s Disease Presentation Momiao Xiong, University of Texas School of Public Health; Helen Engle, University of Texas School of Public Health; Yuanyuan Liu, University of Texas School of Public Health; Zhouxuan Li, University of Texas School of Public Health; Qiyang Ge, University of Texas School of Public Health; Shudi Li, University of Texas School of Public Health; Shan Liu, University of Texas School of Public Health
10:55 AM	Data Integration Using Joint and Individual Non-Gaussian Component Analysis Presentation Benjamin Risk, Emory University; Irina Gaynanova, Texas A&M Univeristy
11:15 AM	Integrative Factorization of Bidimensionally Linked Matrices Presentation 1 Presentation 2 Eric Lock, University of Minnesota; Jun Young Park, University of Minnesota
11:35 AM	SIDA: a New Discriminant Analysis Method for Multi-Type, Multi-Class Data Sandra Safo, University of Minnesota; Eun Jeong Min, University of Pennsylvania
11:55 AM	Targeted Integrative Learning via a Distance Segmented Regression Kun Chen, University of Connecticut; Yang Song, Vertex Pharmaceuticals Inc.; Biju Wang, University of Connecticut
12:15 PM	Floor Discussion

332 * !	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-712
Multivariate Time Series: Modeling and Estimation — Topic Contributed Papers
Business and Economic Statistics Section, Government Statistics Section, Biometrics Section
Organizer(s): James Livsey, U.S. Census Bureau
Chair(s): Anand Vidyashankar, George Mason University
10:35 AM	Applying the EM Algorithm to Multivariate Signal Extraction Presentation James Livsey, U.S. Census Bureau
10:55 AM	Dual Coupled Kalman Filters for Simultaneously Updating Estimated Time-Varying States and Parameters of VARMA Models Using Data with Periodically or Non-Periodically Missing Values Peter Zadrozny, Bureau of Labor Statistics
11:15 AM	Gaussian Copula Vector Autoregressive Modeling Vladas Pipiras, University of North Carolina At Chapel Hill; James Livsey, U.S. Census Bureau; Benjamin Leinwand, University of North Carolina at Chapel Hill
11:35 AM	Constrained Estimation in Co-Integrated VAR Models Presentation Anindya Roy, University of Maryland - Baltimore County; Tucker McElroy, US Census Bureau
12:15 PM	Floor Discussion

341	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-104
Random Effects and Mixed Models — Contributed Papers
Biometrics Section
Chair(s): Richard Kryscio, Univ of Kentucky
10:35 AM	An Algorithmic Construction of All Unbiased Estimators of Variance Components in Linear Mixed Effects Models Presentation Luyao Peng, Univ. of California, Riverside; Subir Ghosh, University of California, Riverside
10:50 AM	Ensemble Learning Integrated with Cancer Survivor Intervention Trials Anjishnu Banerjee; Melinda Stolley, Medical College of Wisconsin; Avik Chakrabarti, University of Wisconsin Milwaukee; Alexis Visotcky, Medical College of Wisconsin
11:05 AM	A Stepped Wedge Design in Practice: Lessons Learned from the DECIDE-LVAD Trial Presentation Diane Fairclough, Colorado School of Public Health; Erin Leister Chaussee, Colorado School of Public Health; Larry Allen, University of Colorado Denver, School of Medicine
11:20 AM	Construction of the Design Matrix for Generalized Linear Mixed-Effects Models in the Context of Clinical Trials of Treatment Sequences Presentation Francisco Diaz, The University of Kansas Medical Center
11:35 AM	A Bayesian Joint Model for Longitudinal Frequency and Duration Outcomes in a Migraine Study Gul Inan, Istanbul Technical University
11:50 AM	Modeling Time?Varying Effects of Multilevel Risk Factors of Hospitalizations in Patients on Dialysis Yihao Li, UCLA; Danh V Nguyen, University of California At Irvine; Yanjun Chen, UC Irvine; Connie M Rhee, UC Irvine; Kamyar Kalantar-Zadeh, UC Irvine; Damla Senturk, UCLA
12:05 PM	Fast Two-Stage Estimator for Clustered Count Data with Overdispersion Presentation 1 Presentation 2 Alvaro Flórez, Universiteit Hasselt; Geert Molenberghs, Universiteit Hasselt & Katholieke Universiteit Leuven; Geert Verbeke, Catholic University of Leuven; Michael Kenward, Ashkirk, United Kingdom; Pavlos Mamouris, KU Leuven; Bert Vaes, KU Leuven

361	Tue, 7/30/2019, 11:35 AM - 12:20 PM	CC-Hall C
SPEED: Biometrics - Methods and Application, Part 2 — Contributed Poster Presentations
Biometrics Section, Section on Bayesian Statistical Science
Chair(s): Katherine E Irimata, National Center for Health Statistics
Oral Presentations for this session.
1:	Development of an International Prostate Cancer Risk Tool Integrating Data from Multiple Heterogeneous Cohorts Donna Ankerst, Technical University of Munich; Johanna Tolksdorf, Technical University of Munich
2:	An Exponential Effect Persistence Model for Intensive Longitudinal Data Claude Setodji, RAND Corporation; Steven C. Martino, RAND Corporation; Michael S. Dunbar, RAND Corporation; William G. Shadel, RAND Corporation
3:	Analyzing Pre-Post Randomized Studies with One Post-Randomization Score Using Repeated Measures and ANCOVA Models Fei Wan, University of Arkansas for Medical Sciences
4:	Spectral Parameterization, Diagnostics, and Remedies for Confounding of Fixed Effects by Random Effects Patrick Schnell, Ohio State University; Maitreyee Bose, Amgen
5:	Differential Abundance Analyzes of Pre- and Post-Metabolomic Data with Steroid Treatment for Bronchopulmonary Dysplasia Prabhakar Chalise, University of Kansas Medical Center; Tamorah R Lewis, Children’s Mercy Hospital, University of Missouri Kansas City
7:	SignNets: Fine Tuning Gene-Gene Similarity Metrics in Biological Systems Crystal Shaw, UCLA; Vinayagam Arunachalam, Pfizer, Inc.; Jadwiga R Bienkowska, Pfizer, Inc.
8:	To EM or Not to EM: Updated Estimation of the Probability of Clonal Relatedness of Pairs of Tumors in Cancer Patients Audrey Mauguen, Memorial Sloan Kettering Cancer Center; Venkatraman E. Seshan, MSKCC; Irina Ostrovnaya, MSKCC; Colin Begg, Memorial Sloan Kettering Cancer Center
9:	Is it ‘random’ or ‘haphazard’? Demonstrating Effects of Nonrandom Allocation by Simulation Penny Reynolds, University of Florida College of Medicine
10:	Estimating Optimal Treatment Regime to Maximize Restricted Mean Survival Time Sanhita Sengupta, University of Minnesota
11:	Item Response Theory Models for Survival Analysis and the Detection of Treatment Efficacy Charlie Iaconangelo, Pharmerit International
12:	Similarity-Based Probability Weighted Learning for Individual Treatment Rule Estimation Jinchun Zhang, New York University; Andrea B Troxel, NYU School of Medicine; Eva Petkova, New York University
13:	Multivariate Longitudinal Data from Eyes - Microperimetry Macular Sensitivity Loss in Patients with Stargardt Disease Zhengfan Wang, UMASS-Amherst; Xiangrong Kong, Johns Hopkins University
14:	On Powerful Exact Nonrandomized Tests for the Poisson Two-Sample Setting Stefan Wellek, CIMH Mannheim/University of Heidelberg, Germany/University of Mainz, Germany
15:	Survey Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute; Mitchell Henry Gail, National Cancer Institute, Division of Cancer Epidemiology and Genetics
16:	Two-Way Partial AUC and Its Properties Kun Lu, Princeton University; Hanfang Yang, Renmin University of China; Xiang Lv, University of California, Berkeley; Feifang Hu, George Washington University
17:	Relative Risk Estimation in Clustered/Longitudinal Data Using Generalized Estimating Equations (GEE) Chao Zhu, Menzies Institute for Medical Research, University of Tasmania; David W Hosmer, University of Vermont; Jim Stankovich, School of Medicine, University of Tasmania, Central Clinical School, Monash University; Karen Wills, Menzies Institute for Medical Research, University of Tasmania ; Leigh Blizzard, Menzies Institute for Medical Research, University of Tasmania
18:	Variance Estimation When Combining Inverse Probability Weighting and Multiple Imputation in Electronic Health Records-Based Research Tanayott Thaweethai, Harvard T.H. Chan School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
19:	Bayesian Generalized Mixed-Effect Modeling of Conway-Maxwell Poisson Data Morshed Alam, University of Nebraska Medical Center; Meza Jane, University of Nebraska Medical center; Yeongjin Gwon, University of Nebraska Medical Center
Oral Presentations for this session.

CE_26C	Tue, 7/30/2019, 1:00 PM - 5:00 PM	CC-406
Adaptive Treatment Strategies: An Introduction to Statistical Approaches for Estimation (ADDED FEE) — Professional Development Continuing Education Course
ASA, Biometrics Section
Instructor(s): Erica Moodie, McGill university
Evidence-based medicine relies on using data to provide recommendations for effective treatment decisions. However, in many settings, response is heterogeneous across patients. Patient response may also vary over time, and physicians are faced with the daunting task of making sequential therapeutic decisions having seen few patients with a given clinical history. Adaptive treatment strategies (ATS) operationalize the sequential decision-making process in the precision medicine paradigm, offering statisticians principled estimation tools that can be used to incorporate patient’s characteristics into a clinical decision-making framework so as to adapt the type, dosage or timing of treatment according to patients’ evolving needs. This half-day course will provide an overview of precision medicine from the statistical perspective. We will begin with a discussion of relevant data sources. We will then turn our attention to estimation, and consider multiple approaches – and their relative strengths and weaknesses – to estimating tailored treatment rules in a one-stage setting. Next, we will consider the multi-stage setting and inferential challenges in this area. Relevant clinical examples will be discussed, as well available software tools.
1:00 PM	Adaptive Treatment Strategies: An Introduction to Statistical Approaches for Estimation (ADDED FEE) Erica Moodie, McGill university

374 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-605
Statistics in Biosciences (SIB) Special Invited Session – Impacts of Statistics in Genomics and Imaging — Invited Papers
International Chinese Statistical Association, Section on Statistics in Genomics and Genetics, Biometrics Section
Organizer(s): Hongzhe Li, University of Pennsylvania
Chair(s): Hongzhe Li, University of Pennsylvania
2:05 PM	Alignment and Integrative Analysis of Single-Cell RNA-Seq and Single-Cell ATAC-Seq Data Weiqiang Zhou, Johns Hopkins Bloomberg School of Public Health; Zhicheng Ji, Johns Hopkins Bloomberg School of Public Health; Hongkai Ji, Johns Hopkins Bloomberg School of Public Health
2:35 PM	Functional Graphical Modeling and Applications in Brain Connectivity Analysis Presentation Lexin Li, University of California at Berkeley
3:05 PM	Gene-Set Integrative Analysis of Multi-Omics Data Using Tensor-Based Association Tests Meng Yang, North Carolina State University; Wenbin Lu, North Carolina State University; Fan Zhang, University at Buffalo; Jeff Miecznikowski, University at Buffalo; Jung-Ying Tzeng, North Carolina State University
3:35 PM	Floor Discussion

380 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-301
Curious Roles of Latent Variables in Prediction and Inference — Invited Papers
Mental Health Statistics Section, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Booil Jo, Stanford University
Chair(s): Xiao-Li Meng, Harvard University
2:05 PM	Integrated Principal Components Analysis Tiffany M Tang, University of California at Berkeley; Genevera Allen, Rice University
2:25 PM	Forecasting Future Smoking-Related Mortality in 69 Countries: The Vital Role of Latent Variables Yicheng Li, University of Washington; Adrian Raftery, University of Washington
2:45 PM	Latent Variables in Causal Inference: Interpretation and Challenges Presentation Tyler VanderWeele, Harvard University
3:05 PM	Discussant: Robert Tibshirani, Stanford University
3:25 PM	Discussant: Mark van der Laan, UC Berkeley
3:45 PM	Floor Discussion

393	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-111
ASA Biometrics Section JSM Travel Awards (I) — Topic Contributed Papers
Biometrics Section
Organizer(s): Rebecca Hubbard, University of Pennsylvania
Chair(s): Sheng Luo, Duke University Medical Center
2:05 PM	Propensity Score Weighting for Causal Inference with Multiple Treatments Fan Li, Duke University; Fan Li, Duke University
2:25 PM	Triplet Matching for Estimating Causal Effects with Three Treatment Arms and Extensions Presentation Giovanni Nattino, The Ohio State University; Bo Lu, The Ohio State University; Junxin Shi, The Research Institute of Nationwide Children's Hospital; Stanley Lemeshow, Ohio State University; Henry Xiang, The Research Institute of Nationwide Children's Hospital
2:45 PM	Causal Isotonic Regression Ted Westling, University of Massachusetts Amherst; Marco Carone, University of Washington; Peter Gilbert, Fred Hutchinson Cancer Research Center
3:05 PM	Stage-Wise Synthesis of Randomized Trials for Optimizing Dynamic Treatment Regimes Yuan Chen, Columbia University Mailman School of Public Health, Department of Biostatistics; Yuanjia Wang, Columbia University; Donglin Zeng, UNC Chapel Hill
3:25 PM	Discussant: Rebecca Hubbard, University of Pennsylvania
3:45 PM	Floor Discussion

404 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-113
Quantile, Semiparametric and Nonparametric Methods in Survival Analysis — Contributed Papers
Biometrics Section
Chair(s): David Michael Vock, University of Minnesota
2:05 PM	Estimating Cross Quantile Residual Ratio with Left-Truncated Semi-Competing Risks Data Jing Yang, Merck & Co., Inc; Limin Peng, Emory University
2:20 PM	Quantile Association Regression on Bivariate Survival Data Ling-Wan Chen, NIEHS; Yu Cheng, University of Pittsburgh; Ying Ding, University of Pittsburgh; Ruosha Li, The University of Texas School of Public Health
2:35 PM	Quantile Regression for Survival Analysis with Complex Censoring and Truncation Using a Novel Likelihood Approximation Bryan Keith McNair, University of Colorado Anschutz Medical Campus; Debashis Ghosh, University of Colorado Anschutz Medical Campus; Gary Grunwald, University of Colorado Anschutz Medical Campus
2:50 PM	Stochastic Expectation Maximization for Semiparametric Regression Analysis of Multivariate Interval-Censored Data Presentation 1 Presentation 2 Kaitlyn Cook, Harvard University; Rui Wang, Harvard University
3:05 PM	Methods for Survival Analysis Leveraging Data from Randomized Clinical Trials and Observational Studies Presentation Jean De Dieu Tapsoba, Fred Hutchinson Cancer Research Center; Ying Qing Chen, Fred Hutchinson Cancer Research Center
3:20 PM	Doubly Robust Inference Procedures for Analyzing the Cancer Registry Data Presentation Sho Komukai, Osaka University Graduate School of Medicine; Satoshi Hattori, Graduate School of Medicine, Osaka University
3:35 PM	Nonparametric Inference of Population Size History via Survival Analysis Jonathan Terhorst, University of Michigan

446 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-101
New Statistical Methods in Evolutionary Biology — Invited Papers
Biometrics Section, International Indian Statistical Association, WNAR
Organizer(s): Arindam RoyChoudhury, Cornell University
Chair(s): Arindam RoyChoudhury, Cornell University
9:00 AM	Inferring Tumor Phylogenies Using Single-Cell Sequencing Data Presentation Jing Peng, The Ohio State University; Laura Kubatko, The Ohio State University; Yuan Gao, The Ohio State University
9:25 AM	Neutrality Test on Evolutionary Tree Topologies: Where Statistics, Physics, and Geometric Analysis Meet Dan D. Erdmann-Pham, University of California, Berkeley; Yun S. Song, University of California, Berkeley; Jonathan Terhorst, University of Michigan
9:50 AM	Discussant: Marc Suchard, UCLA
10:00 AM	Discussant: James Degnan, University of New Mexico
10:15 AM	Floor Discussion

449 !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-205
Evaluating Risk Predictions for Use in Decision-Making — Invited Papers
ENAR, Biometrics Section, Section on Risk Analysis
Organizer(s): Hormuzd Katki, US National Cancer Institute
Chair(s): Qing Pan, George Washington University
8:35 AM	Monitoring with Repeatedly Measured Marker: Assessing Incremental Value of Additional Measurements Paramita Saha Chaudhuri, McGill University; James Hanley, McGill University; Hormuzd Katki, US National Cancer Institute
9:00 AM	A General Framework for Using the Overall Concordance Statistic to Assess the Discriminatory Ability of Risk Predictions Presentation Li Cheung, National Cancer Institute; Qing Pan, George Washington University; Barry Graubard, National Cancer Institute
9:25 AM	Quantifying Risk Stratification Provided by Diagnostic Tests and Risk Predictions Presentation Hormuzd Katki, US National Cancer Institute
9:50 AM	On Optimal Screening Schedules for Chronic Diseases Ionut Bebu, The George Washington University; John Lachin, The George Washington University
10:15 AM	Floor Discussion

456 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-207
Design and Analysis of Cancer Immunotherapy Trials with Complex Survival Patterns — Topic Contributed Papers
Biopharmaceutical Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Zhenzhen Xu , FDA
Chair(s): Bifeng Ding, Amgen
8:35 AM	Survival Analysis Using a 5-STAR Approach in Randomized Clinical Trials Devan Mehrotra, Merck & Co., Inc; Rachel Marceau West, Merck & Co., Inc.
8:55 AM	Designing Cancer Immunotherapy Trials with Complex Survival Patterns Zhenzhen Xu , FDA; BIN ZHU, NIH/NCI; YONGSOEK PARK, University of Pittsburg, Department of Biostatistics
9:15 AM	Robust Group Sequential Designs for Immunotherapy Trials Pranab Ghosh, Cytel Inc.; Cyrus Mehta, Cytel
9:35 AM	A Flexible Test/Estimation Coherent Approach to Evaluate the Treatment Effect of Immunotherapy on Time-To-Event Outcomes Hajime Uno, Dana-Farber Cancer Institute; Miki Horiguchi, Kitasato University; Lu Tian, Stanford University School of Medicine
9:55 AM	Discussant: Shiowjen Lee, FDA
10:15 AM	Floor Discussion

459 !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-111
Rethinking Intercurrent Events and Estimators Within the ICH E9(R1) Estimand Framework — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, ENAR
Organizer(s): Dong Xi, Novartis
Chair(s): Forrest Williamson, Eli Lilly
8:35 AM	A Constructive Critique of the Draft ICH E9 Addendum Presentation Daniel Scharfstein, Johns Hopkins School of Hygiene & Public Health
8:55 AM	Estimands in Clinical Trials with Intercurrent Events Shanthi Sethuraman, Eli Lilly and Company; Yongming Qu, Eli Lilly and Company; Linda Shurzinske, Eli Lilly and Company
9:15 AM	Comparison of Assumptions Required for Estimating Different Parameters in the Presence of Intercurrent Events Presentation Michael Rosenblum, Johns Hopkins Bloomberg School of Public Health
9:35 AM	Some Thoughts on Recurrent Event Estimands and Estimators Dong Xi, Novartis; Jiawei Wei, Novartis; Tobias Muetze, Novartis
9:55 AM	Discussant: Thomas Permutt, U.S. Food and Drug Administration
10:15 AM	Floor Discussion

460 !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-104
Advances in Time Series Methodology — Topic Contributed Papers
Business and Economic Statistics Section, Government Statistics Section, Biometrics Section
Organizer(s): James Livsey, U.S. Census Bureau
Chair(s): Rebecca Hutchinson, US Census Bureau
8:35 AM	Quadratic Prediction of Time Series via Auto-Cumulants Presentation Tucker McElroy, US Census Bureau; Soumendra N Lahiri, North Carolina State University; Dhrubajyoti Ghosh, North Carolina State University
8:55 AM	Seasonal Adjustment Subject to Frequency Aggregation Constraints Osbert Pang, U.S. Census Bureau; Tucker McElroy, US Census Bureau; Brian Monsell, U.S. Census Bureau
9:15 AM	Seasonal Adjustment of Aggregate Time Series with Components Containing Meagre Values Presentation Richard Penny, Statistics New Zealand; Tucker McElroy, US Census Bureau
9:35 AM	Post Selection Inference for High-Dimensional Time Series Anand Vidyashankar, George Mason University; Jeffrey Collamore, University of Copenhagen
9:55 AM	Regularized Estimation of High-Dimensional Auto- and Cross-Covariance Matrices Presentation Tommaso Proietti, University of Rome Tor Vergata; Alessandro Giovannelli, Ministry of Economics and Finance, Italy
10:15 AM	Floor Discussion

466	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-109
Personalized/Precision Medicine I — Contributed Papers
Biometrics Section
Chair(s): Theresa Kim, Patient-Centered Outcomes Research Institute (PCORI)
8:35 AM	Personalized Treatment Selection Using Data from Crossover Designs with Carry Over Effects Chathura Siriwardhana, University of Hawaii; K.B. Kulasekera, University of Louisville; Somnath Datta, University of Florida
8:50 AM	Augmented Tree-Based Reinforcement Learning to Incorporate Patient Preferences into the Estimation of Optimal Dynamic Treatment Regimes Presentation Yingchao Zhong, University of Michigan; Lu Wang, University of Michigan
9:05 AM	Robust Estimation for Optimal Dynamic Treatment Regimes with Restricted Arms Using Observational Data Presentation Nina Zhou, University of Michigan; Lu Wang, University of Michigan; Daniel Almirall, University of Michigan
9:20 AM	Personalized Biopsy Schedules for Prostate Cancer Using Joint Models Presentation Dimitris Rizopoulos, Erasmus University Medical Center
9:35 AM	Classification of Distinct Trajectories in Longitudinal Data with Irregular Spaced Intervals: Heterogeneous Linear Mixed Model Vs Mixture Modeling of BLUPs from Linear Mixed Model Md Jobayer Hossain, Nemours children Healthcare Systems; Benjamin E. Leiby, Thomas Jefferson University
9:50 AM	A Parsimonious Personalized Dose Finding Model via Dimension Reduction Presentation Wenzhuo Zhou, University of Illinois Urbana-Champaign; Ruoqing Zhu, University of Illinois Urbana-Champaign
10:05 AM	Optimizing the Personalized Timing for Treatment Initiation with Continuous or Multiple Random Decision Points Presentation Ming Tang, University of Michigan; Lu Wang, University of Michigan; Haoda Fu, Eli Lilly and Company; Yebin Tao, Google

494 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-113
Identifying and Addressing Sources of Bias in Causal Inference — Topic Contributed Papers
Biometrics Section, Section on Statistics in Epidemiology, Health Policy Statistics Section
Organizer(s): Caleb Miles, Columbia; Linda Valeri, Columbia University Mailman School of Public Health
Chair(s): Joseph Antonelli, University of Florida
10:35 AM	Measurement Error-Robust Causal Inference via Synthetic Instrumental Variables Presentation Caleb Miles, Columbia; Brent A. Coull, Harvard T. H. Chan School of Public Health; Linda Valeri, Columbia University Mailman School of Public Health
10:55 AM	Causal Mediation Analysis for Stochastic Interventions Presentation Ivan Diaz, Weill Medical College, Cornell University
11:15 AM	Observational Studies of Peer Effects: Dean Eckles, MIT; Eytan Bakshy, Facebook
3:05 PM	Discussant: Elizabeth Ogburn, Johns Hopkins Bloomberg School of Public Health
3:25 PM	Discussant: Linda Valeri, Columbia University Mailman School of Public Health
12:05 PM	Floor Discussion

496 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-603
Estimand Framework and Its Impact on Drug Development in Oncology — Topic Contributed Papers
Lifetime Data Science Section, Biopharmaceutical Section, Biometrics Section
Organizer(s): Evgeny Degtyarev, Novartis ; Kaspar Rufibach, F. Hoffmann-La Roche
Chair(s): Rui Tang, Servier
10:35 AM	Estimand Framework in Oncology Drug Development – Impact and Opportunities Presentation Evgeny Degtyarev, Novartis ; Kaspar Rufibach, F. Hoffmann-La Roche; Jonathan Siegel, Bayer HealthCare Pharmaceuticals Inc.; Viktoriya Stalbovskaya, Merus; Steven Sun, J&J
10:55 AM	Importance of Censoring Mechanisms in Selecting Appropriate Estimands Presentation Jonathan Siegel, Bayer HealthCare Pharmaceuticals Inc.; Michelle Casey , Pfizer; Hans-Jochen Weber, Novartis; Anja Schiel, EMA BSWP/SAWP; Stefan Englert, AbbVie Deutschland GmbH & Co KG; Steven Sun, J&J; Kaspar Rufibach, F. Hoffmann-La Roche
11:15 AM	Sensitivity Analysis Vs Supportive Analysis Under Estimand Framework: a Case Study in Hematological Malignancies Presentation Steven Sun, J&J; Hans-Jochen Weber, Novartis; Marie-Laure Casadebaig, Celgene; Emily Butler, GlaxoSmithKline; Satrajit Roychoudhury, Pfizer Inc ; Kaspar Rufibach, F. Hoffmann-La Roche; Viktoriya Stalbovskaya, Merus
11:35 AM	Estimand Framework – Are We Asking the Right Questions? a Case Study in the Solid Tumor Setting Presentation Michelle Casey , Pfizer; Evgeny Degtyarev, Novartis ; Maria Jose Lechuga, Pfizer, Inc.; Paola Aimone, Novartis Pharma AG; Feng Feng Liu, AstraZeneca; Viktoriya Stalbovskaya, Merus; Rui Tang, Servier; Emily Butler, GlaxoSmithKline; Oliver Sailer, Boehringer Ingelheim Pharma GmbH & Co
11:55 AM	Discussant: Kunthel By, Division of Biometrics V, OB/OTS/CDER FDA
12:15 PM	Floor Discussion

501 *	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-109
Innovative Methods for Measurement Error Correction — Topic Contributed Papers
Section on Statistics in Epidemiology, ENAR, Biometrics Section
Organizer(s): Caroline P Groth, Feinberg School of Medicine, Northwestern University
Chair(s): Harrison Quick, Drexel University
10:35 AM	Calibrating Validation Samples When Correcting for Measurement Error in Intervention Study Outcomes Presentation Benjamin Ackerman, Johns Hopkins Bloomberg School of Public Health; Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health; Juned Siddique, Feinberg School of Medicine, Northwestern University
10:55 AM	A Bayesian Approach for Handling Covariate Measurement Error When Estimating Population Treatment Effect Hwanhee Hong; Juned Siddique, Feinberg School of Medicine, Northwestern University; Elizabeth A Stuart, Johns Hopkins Bloomberg School of Public Health
11:15 AM	Flexibly Accounting for Exposure Measurement Error in Counterfactual Risk Functions Presentation Jessie Edwards, Univeristy of North Carolina at Chapel Hill
11:35 AM	Longitudinal Latent Class Modeling for Measurement Error Correction Presentation Caroline P Groth, Feinberg School of Medicine, Northwestern University; David Aaby, Northwestern University Feinberg School of Medicine; Linda Van Horn, Northwestern University Feinberg School of Medicine; Michael Daniels, University of Florida; Juned Siddique, Feinberg School of Medicine, Northwestern University
11:55 AM	Covariate Measurement Error in Propensity Score Analysis: Leveraging the Covariate’s Posterior Mean Presentation Trang Q Nguyen, Johns Hopkins Bloomberg School of Public Health
12:15 PM	Floor Discussion

502 !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-108
Propensity Score Methods to Conduct Observational Studies Using Complex Survey Data — Topic Contributed Papers
Survey Research Methods Section, Biometrics Section, Social Statistics Section
Organizer(s): Hyunshik James Lee, Westat
Chair(s): Natalia Weil, Westat
10:35 AM	Estimating Generalized Propensity Scores with Survey and Nonresponse Weighted Data Beth Ann Griffin, RAND Corporation; Michael Robbins, RAND Corporation; Brian G. Vegetabile, RAND Corporation; Daniel F. McCaffrey, Educational Testing Service
10:55 AM	Causal Inference Using Propensity Score Methods with Clustered Survey Data Presentation Hyunshik James Lee, Westat; Duck-He Yang, Westat; Ning Rui, Westat
11:15 AM	Assessing the Causal Effect of Cumulative Load for Recurrent Injury Events in Professional Tennis Using a Flexible Cox Marginal Structural Model Presentation Stephanie Kovalchik, Tennis Australia/Victoria University
11:35 AM	Robust Estimation of the Causal Effect of Time-Varying Neighborhood Factors on Health Outcomes Presentation Michael Robbins, RAND Corporation; Beth Ann Griffin, RAND Corporation; Regina Shih, RAND Corporation; Mary Slaughter, RAND Corporation
11:55 PM	Discussant: Eva Hisako DuGoff, University of Maryland
12:15 PM	Floor Discussion

506	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-112
Categorical Data — Contributed Papers
Biometrics Section
Chair(s): Lior Rennert, Clemson University
10:35 AM	Profiling Dialysis Facilities for Adverse Recurrent Events Danh V Nguyen, University of California At Irvine; Jason P Estes, Research, Pratt & Whitney; Yanjun Chen, UC Irvine; Damla Senturk, UCLA; Connie M Rhee, UC Irvine; Esra Kurum, UC Riverside; Amy S You, UC Irvine; Elani Streja, UC Irvine; Kamyar Kalantar-Zadeh, UC Irvine
10:50 AM	Network Meta-Regression for Ordinal Outcomes Under Different Links Yeongjin Gwon, University of Nebraska Medical Center; Mo May, Amgen Inc; Ming-Hui Chen, University of Connecticut; Zhiyi Chi, University of Connecticut; Juan Li, Eli Lily and Company; Amy Xia, Amgen Inc; Joseph G Ibrahim, UNC
11:05 AM	Likelihood Analysis of Gaussian Copula Distributions with Incomplete Correlated Binary or Mixed Data Mingchen Ren, University of Calgary; Ying Yan, Sun Yat-sen University; Alexander De Leon, University of Calgary
11:20 AM	Small Sample Corrections for Longitudinal RNAseq Data Roula Tsonaka, Leiden University MC
11:35 AM	On the Comparison of Two Correlated Proportions in the Analysis of Clustered Binary Data from a Cross-Sectional Study Krishna Saha, Central Connecticut State University; Suojin Wang, Texas A&M University
11:50 AM	Number Needed to Treat: Controversies and Extensions Chunlei Ke, Biogen
12:05 PM	An Overview of the Assessment of Logistic Regression Models Presentation Justin Shang, University of Wyoming; Covance Inc.; Tim Robinson, University of Wyoming; Shaun Wulff, University of Wyoming

522	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Biometrics Section — Contributed Poster Presentations
Biometrics Section
Chair(s): Wendy Meiring, University of California At Santa Barbara
3:	Inferring Multimotor Dynamics of Gold Nanoparticles on Curved Microtubules Lauren Crow
4:	Incorporating Subgroups in a Surrogate Endpoint Setting Emily Roberts; Jeremy Taylor, University of Michigan; Michael Elliott, University of Michigan
5:	Sensitivity Analysis for Publication Bias in Meta-Analyzes Maya B Mathur, Harvard University; Tyler VanderWeele, Harvard University
6:	Behavioral Phenotyping Using Nonlinear Mixed Models for the Running Wheel Sandra McBride, Social & Scientific Systems, Inc; Gaylia Jean Harry, Ph.D., National Institute of Environmental Health Sciences; Keith Shockley, Ph.D., National Institute of Environmental Health Sciences; Helen Cunny, Ph.D., National Institute of Environmental Health Sciences
7:	Order Constraint ROC Regression Xiaochen Zhu, George Mason University
8:	Adaptation of Random Survival Forests for Predicting Interval Censored Outcome Using a Longitudinal Biomarker: Application to Tacrolimus and Antibody Formation in Kidney Transplant Kaci Pickett; Krithika Suresh, University of Colorado; Kristen Campbell, University of Colorado; Elizabeth Juarez-Colunga, University of Colorado Denver
9:	Robust Inference on the Causal Effects of Stochastic Interventions Under Two-Phase Sampling, with Applications in Vaccine Efficacy Trials Nima Hejazi, UC Berkeley
10:	The Most Powerful Exact Test for Comparing Two Proportions Peter Calhoun
11:	Imputation of Organ Dysfunction Scores in NICU Data MNAR Lucia Chen, UCLA; David Elashoff, UCLA
12:	Statistical Modeling and Inference for Infectious Disease Dynamics: a Time-Series Approach Niloofar Ramezani, George Mason University
14:	Predicting On-Target CRISPR-Cas9 Cleavage Efficiency Oscar Zarate, Northwestern University; Ji-Ping Wang, Northwestern University
15:	Comparing Normalization Methods and the Impact of Noise Thao Vu
16:	Optimal Surrogate in Targeted Adaptive Sequential Trials Ivana Malenica, U.C. Berkeley; Mark van der Laan, UC Berkeley
17:	A Joint Model for the Analysis of Recurrent Events and a Dependent Terminal Event: Application to a Large Cardiovascular Outcomes Trial Shahidul Islam, SUNY Downstate Medical Center; Carl Rosenberg, SUNY Downstate Medical Center; John C. LaRosa, SUNY Downstate Medical Center; Michael Szarek, SUNY Downstate Medical Center
19:	Modeling Metabolic Syndrome with Biomarkers. Alexander Nielson, Weber State University; Adam Baker, Weber State University; David Aguilar-Alvarez, Weber State University; Julian Chan, Weber State University
20:	Prediction Accuracy and Robustness to Non-Normality of Two Methods of Predicting Random Effects in Linear Mixed Effects Models: Empirical Bayes vs. Quadratic Inference Functions Zhiwen Wang, University of Kansas Medical Center ASA Student Chapter; Francisco Diaz, The University of Kansas Medical Center; John D Keighley, University of Kansas Medical Center; Jianghua (Wendy) He, The University of Kansas Medical Center; Jo Wick, University of Kansas Medical Center
21:	Validation and Application of Risk Prediction Models Using Medical Records in Taiwan Hsing-Yi Chang, National Health Research Institute; Ching-Yu Huang, Industrial Technology Research Institute; Hsin-Ling Fang, NHRI
22:	Genome-Wide Causal Study of Schizophrenia Rong Jiao, UT Health
23:	Integrative Analysis of Irregularly Measured Biomarkers of Mixed Types in Electronic Health Records Jitong Lou, University of North Carolina At Chapel Hill; Yuanjia Wang, Columbia University; Pengyue Zhang, Ohio State University; Lang Li, Ohio State University; Donglin Zeng, UNC Chapel Hill
24:	Bivariate Nonlinear Gaussian Processes with Applications to Brain Signals Guillermo Granados Garcia, King Abdullah University of Science and Technology; Hernando Ombao, King Abdullah University of Science and Technology (KAUST); Wagner Barreto-Souza, Universidade Federal de Minas Gerais
25:	Modeling Population and Subject-Specific Growth in a Latent Trait Measured by Multiple Instruments Over Time Using a Hierarchical Bayesian Framework Caitlin Ward; Jacob J Oleson, University of Iowa; Elizabeth Walker, University of Iowa; Bruce Tomblin, University of Iowa
26:	A Bayesian Method for Preliminary Proof of Concept in Early Phase Oncology Studies with a Basket Design Lei Gao, Vertex Pharmaceuticals; Jin Jin, Division of Biostatistics, University of Minnesota; Qianying Liu, Sanofi; Wei Zheng, Comprehend (Suzhou) Information Technology Inc; Zhenming Shun, Daiichi Sankyo, Inc; Tun Tun Lin, Sanofi; Yingwen Dong, Sanofi
27:	Spatially Balanced Sampling using the Halton Sequence Blair Robertson, University of Canterbury; Trent McDonald, Western EcoSystems Technology Inc; Jennifer Brown, University of Canterbury; Chris Price, University of Canterbury
29:	Negative Binomial Regression Model Assessing Factors Associated with Nodal Involvement in Oral Cancer Patients Sada Nand Dwivedi, All India Institute of Medical Sciences
30:	Smoothed Change-Point Renewal Process Framework for Modeling Hazards of Pulmonary Exacerbations in Cystic Fibrosis Rachel Johnson, Colorado School of Public Health; Elizabeth Juarez-Colunga, University of Colorado Denver; John Rice, Colorado School of Public Health; Brandie Wagner, Colorado School of Public Health; Edith Zemanick, University of Colorado School of Medicine and Children’s Health Colorado; Margaret Rosenfeld, Seattle Children's Hospital
31:	A Longitudinal Bayesian Mixed Effects Model with Hurdle Conway-Maxwell-Poisson Distribution Tong Kang, University of Florida; Somnath Datta, University of Florida; Jeremy T. Gaskins, University of Louisville
32:	A Framework for Covariate Balance Using Bregman Distances Kevin Patrick Josey, Colorado School of Public Health; Elizabeth Juarez-Colunga, University of Colorado Denver; Debashis Ghosh, University of Colorado Anschutz Medical Campus
33:	Bivariate Hierarchical Bayesian Model for Combining Estimates from Multiple Sources and Domains Yujing Yao, Columbia University; Todd Ogden, Columbia University; Qixuan Chen, Columbia University
34:	Compass Plots Revisited: a Combination of Kiviat Diagram (Star Plots) and Analysis of Means (ANOM) Charles Eugene Smith, North Carolina State University; Kamon Budsaba, Thammasat University, Rangsit Center
35:	Factor Analysis for Spatial Surfaces Using a Bayesian Non-Parametric Prior Samuel Berchuck, Duke University; Mark Janko, Duke University; Sayan Mukherjee, Duke University
36:	A Novel Design for Evaluating Cell-Type Deconvolution Methods - Application to Pancreatic Cancer Virginia Ma, Columbus Academy
37:	Constructing Causal Methylation Network by Additive Noise Model (ANM) Shudi Li, University of Texas School of Public Health; Rong Jiao, UT Health; Momiao Xiong, University of Texas School of Public Health
38:	Penalized Random Survival Forests Sarah Formentini, University of Illinois Urbana-Champaign Statistics Department; Ruoqing Zhu, University of Illinois Urbana-Champaign
40:	Reference Effect Measures for Quantifying, Comparing and Visualizing Variation from Random and Fixed Effects in Non-Normal Multilevel Models Gary Grunwald, University of Colorado Anschutz Medical Campus; Thomas J Glorioso, US Veterans Administration; Michael Ho, US Veterans Administration; Thomas M Maddox, Washington University School of Medicine

562	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-106
Advances in Nonparametric Methods in Causal Inference — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, Section on Nonparametric Statistics
Organizer(s): Ted Westling, Center for Causal Inference, University of Pennsylvania Perelman School of Medicine
Chair(s): Ted Westling, Center for Causal Inference, University of Pennsylvania Perelman School of Medicine
2:05 PM	Doubly-Robust Inference for Causal Effects Marco Carone, University of Washington; Ted Westling, University of Massachusetts Amherst; David Whitney, University of Washington
2:25 PM	Bayesian Causal Forests with Targeted Smoothing for Heterogeneous Treatment Effect Estimation Presentation Jennifer Starling
2:45 PM	Model-Free Policy Evaluation Rina Friedberg, Stanford University; Stefan Wager, Stanford University; Susan Athey, Stanford University
3:05 PM	Sensitivity Analysis via the Proportion of Unmeasured Confounding Matteo Bonvini, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
3:25 PM	Causal Inference with Confounders Missing Not at Random Presentation Linbo Wang, University of Toronto; Shu Yang, North Carolina State University; Peng Ding, University of California, Berkeley
3:45 PM	Floor Discussion

564 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-112
Analysis of Left-Censored Data (E.G., Below Detection): Real-World Problems in Need of Statisticians — Topic Contributed Papers
Biometrics Section, Lifetime Data Science Section, Section on Statistics and the Environment
Organizer(s): Brenda W Gillespie, University of Michigan
Chair(s): Alexander C McLain, University of South Carolina
2:05 PM	How Many Licks Does it Take? Measuring Beryllium in the Workplace Presentation Brian Weaver; Kimberly Kaufeld, Los Alamos National Laboratory; Richard Warr, Brigham Young University
2:25 PM	Quantifying Information in Left-Censored Data: Why the Percent Censored Is a Misleading Metric Presentation Brenda W Gillespie, University of Michigan
2:45 PM	Profile Likelihood Estimation of the Correlation Coefficient in the Presence of Left, Right or Interval Censoring and Missing Data Yanming Li, University of Michigan; Brenda W Gillespie, University of Michigan; Kerby Shedden, University of Michigan; John Gillespie, University of Michigan -Dearborn
3:05 PM	Accommodating Multiple Correlated Measurements Subject to Left-Censoring Due to Assay Limits of Detection: a Novel Application of Multivariate Time-To-Event Regression Shanshan Zhao, National Institute of Environmental Health Sciences; Ling-Wan Chen, NIEHS
3:25 PM	Discussant: William Q. Meeker, Iowa State University
3:45 PM	Floor Discussion

567 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-103
Digital Phenotyping – What Can Wearables and Smartphones Tell Us About Our Mental Health? — Topic Contributed Papers
Mental Health Statistics Section, Section on Statistical Learning and Data Science, Biometrics Section
Organizer(s): Samprit Banerjee, Weill Medical College, Cornell University
Chair(s): Ivan Diaz, Weill Medical College, Cornell University
2:05 PM	Digital Phenotyping: Opportunities and Challenges Presentation Jukka-Pekka Onnela
2:25 PM	Biostatistical Methods for Wearable and Implantable Technology (WIT) Presentation Ciprian Crainiceanu, Johns Hopkins University
2:45 PM	Functional Data Analysis Approaches for Analyzing Mobile Health Data Jihui Lee, Weill Cornell Medicine; Samprit Banerjee, Weill Medical College, Cornell University
3:05 PM	Clustering of Functional Data to Discover Patterns of Behavioral Trajectories Using Smartphone Data Samprit Banerjee, Weill Medical College, Cornell University; Jihui Lee, Weill Cornell Medicine
3:25 PM	Modeling Smartphone-Based Social Communication with Circadian Trends Presentation Ian Barnett, University of Pennsylvania; Grace Choi, University of Pennsylvania
3:45 PM	Floor Discussion

570 !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-110
Joint Modeling of Longitudinal and Survival Data — Contributed Papers
Biometrics Section
Chair(s): David Kline, The Ohio State University
2:05 PM	Joint Modeling of Longitudinal Continuous, Longitudinal Ordinal, and Time-To-Event Outcomes Abdus Sattar; Khurshid Alam, Case Western Reserve University; Arnab Maity, North Carolina State University; Sanjoy Sinha, Carleton University; Dimitris Rizopoulos, Erasmus University Medical Center
2:20 PM	A Joint Modeling Approach of Repeated Measure and Time-To-Event Data for Differentially Expressed/Spliced Isoform Transcripts Presentation Huining Kang, University of New Mexico; Xichen Li, University of New Mexico; Li Luo, University of New Mexico; Scott A Ness, University of New Mexico
2:35 PM	Joint Modeling of Multivariate Longitudinal Outcomes and Multiple Time-To-Events in Presence of Informative Censoring Presentation Md Akhtar Hossain, University of South Carolina; Alexander C McLain, University of South Carolina; Hrishikesh Chakraborty, Duke Clinical Research Institute, Duke University
2:50 PM	Novel Joint Models for Identifying Determinants of Cognitive Decline in the Presence of Informative Drop-Out and Observation Times Presentation Kendra Plourde
3:05 PM	Optimizing Personalized Biomarker Screening by Predicting Quantiles of Residual Lifetime in the Presence of Longitudinal Biomarkers Presentation Phillip Schulte, Mayo Clinic; Fang-Shu Ou, Mayo Clinic; Martin Heller, Mayo Clinic
3:20 PM	A Bayesian Approach for Semiparametric Regression Analysis of Bivariate Panel Count Data Presentation Chunling Wang, University of South Carolina; Xiaoyan Lin, University of South Carolina
3:35 PM	Joint Spline Models for Continuous Time Causal Mediation Analysis Jeffrey M Albert, Case Western Reserve University; Tanujit Dey, Cleveland Clinic Foundation; Youjun Li, Case Western Reserve University; Jiayang Sun, Case Western Reserve University; Wojbor Woyczynski, Case Western Reserve University; Rujia Liu, Case Western Reserve University; Meeyoung Min, Case Western Reserve University

592 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-702
Evaluating Impact in Networks: Causal Inference with Interference — Invited Papers
Biometrics Section, Section on Statistics in Epidemiology, ENAR
Organizer(s): Michael Hudgens, University of North Carolina at Chapel Hill
Chair(s): Michael Hudgens, University of North Carolina at Chapel Hill
8:35 AM	Individualistic Effects in Randomized Trials Under Contagion Presentation Olga Morozova, Yale School of Public Health; Daniel Eck, Yale School of Public Health; Forrest W Crawford, Yale School of Public Health
8:55 AM	Matching Methods for Networked Causal Inference Alexander Volfovsky, Duke University
9:15 AM	Causal Inference with Misspecified Exposure Mappings Fredrik Sävje, Yale University
9:35 AM	Auto-G-Computation of Causal Effects on a Network Presentation Eric Tchetgen Tchetgen, University of Pennsylvania
9:55 AM	Discussant: Dean Eckles, MIT
10:15 AM	Floor Discussion

593 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-712
Statistical Challenges and New Developments in Genomics — Invited Papers
Section on Statistics in Genomics and Genetics, Biometrics Section, ENAR
Organizer(s): Nancy Zhang, University of Pennsylvania
Chair(s): Nancy Zhang, University of Pennsylvania
8:35 AM	Evaluation of Cell Clustering in Single Cell Data Zhijin Wu, Brown University
9:00 AM	Removing Unwanted Variation Reveals the Impact of Genetic Variation on 3D Genome Structure Presentation Kasper Daniel Hansen, Johns Hopkins University
9:25 AM	Transfer Learning in Single Cell Transcriptomics Presentation Nancy Zhang, University of Pennsylvania; Divyansh Agarwal, University of Pennsylvania; Zilu Zhou, University of Pennsylvania; Mo Huang, University of Pennsylvania; Gang Hu, Nankai University; Chengzhong Ye, Tsinghua University; Jingshu Wang, The University of Chicago
9:50 AM	GeneFishing: a Computational Method to Reconstruct Comprehensive Context-Specific Portraits of Biological Processes and Its Application to Cholesterol Metabolism Presentation Haiyan Huang, University of California, Berkeley
10:15 AM	Floor Discussion

595 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-107
Global Estimates of Morbidity and Mortality — Invited Papers
Health Policy Statistics Section, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Laura A Hatfield, Harvard Medical School
Chair(s): Laura A Hatfield, Harvard Medical School
9:00 AM	Monitoring Maternal Mortality by the United Nations (UN MMEIG): Improved Estimates of Levels, Trends and Reporting Errors Through Bayesian Multilevel Temporal Regression Modeling Leontine Alkema, University of Massachusetts Amherst; Emily Peterson, University of Massachusetts Amherst; Doris Chou, World Health Organization; Ann Beth Moller, World Health Organization; Lale Say, World Health Organization
9:50 AM	Making Inference in Global Health When There Is Limited (Or No) Data Bethany Hedt-Gauthier, Harvard Medical School
10:15 AM	Floor Discussion

601 *	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-705
Recent Advances in Variable Selection for Linear and Nonlinear Models — Topic Contributed Papers
Biometrics Section, Section on Statistical Learning and Data Science, IMS
Organizer(s): Marinela Capanu, Memorial Sloan Kettering Cancer Center
Chair(s): Colin Begg, Memorial Sloan Kettering Cancer Center
8:35 AM	Optimized Variable Selection via Repeated Data Splitting Presentation Marinela Capanu, Memorial Sloan Kettering Cancer Center; Colin Begg, Memorial Sloan Kettering Cancer Center; Mithat Gonen, Memorial Sloan Kettering Cancer Center
8:55 AM	Thresholding Least-Squares for High-Dimensional Regression Models Presentation Mihai Giurcanu
9:15 AM	Metropolized Knockoff Sampling Presentation Stephen Bates, Stanford; Emmanuel Candes, Stanford University; Lucas Janson, Harvard University; Wenshuo Wang, Harvard University
9:35 AM	Nonuniformity of P-Values Can Occur Early in Diverging Dimensions Presentation Emre Demirkaya, University of Southern California
9:55 AM	Model Selection Bias Invalidates Goodness of Fit Tests Presentation Joshua Loftus, New York University
10:15 AM	Floor Discussion

605 * !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-603
Innovations in Use of Historical Control Data in Clinical Trials — Topic Contributed Papers
Biopharmaceutical Section, Section on Medical Devices and Diagnostics, Biometrics Section, Section on Statistical Consulting, Statistics and Pharmacometrics Interest Group
Organizer(s): Steven Schwager, Cornell University
Chair(s): Steven Schwager, Cornell University
8:35 AM	Exploring External Controls Using Prior Clinical Trial Data Presentation Pallavi Mishra-Kalyani, US Food and Drug Administration
8:55 AM	Composite Likelihood Approach for Incorporating the Entropy Balance Weighting of Real World Data (RWD) in Uncontrolled and Randomized-Controlled Trials (RCTs) Guanglei Yu, Eli Lilly and Company; Margaret Gamalo-Siebers, Eli Lilly; Yuanyuan Bian, Eli Lilly and Company
9:15 AM	Incorporation of Historical Information in Pediatric Trials Presentation James Travis, FDA
9:35 AM	Real World Data for Oncology Drug Development: Promise and Pitfalls Presentation Catherine Tuglus, Amgen; Qui Tran, Amgen; Chris Holland, Immunocore
9:55 AM	Strengthening Clinical Trials Through Synthetic Control Arms Antara Majumdar, Medidata Solutions; Ruthie Davi, Medidata Solutions; Steven Schwager, Medidata Solutions
10:15 AM	Floor Discussion

609 !	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-703
New Approaches to Improving Accuracy, Precision, and Robustness of Survival Analysis — Contributed Papers
Biometrics Section
Chair(s): Yimei Li, University of Pennsylvania
8:35 AM	On Objective Biomarker Development for Regression Calibration Cheng Zheng, University of Wisconsin at Milwakee; Yiwen Zhang, University of Wisconsin-Milwaukee; Ying Huang, Fred Hutchinson Cancer Research Center; Ross L. Prentice, Fred Hutchinson Cancer Research Center
8:50 AM	Efficient Estimation of a Hazard-Based Partial Sufficient Dimension Reduction Model for Right-Censored Data Ming-Yueh Huang, Academia Sinica
9:05 AM	Predicting Events from Longitudinal Data: The Imputed Cox Model Presentation James Troendle, National Institutes of Health; Eric Leifer, National Heart,Lung and Blood Institute; Xin Tian, National Heart, Lung and Blood Institute, National Institutes of Health
9:20 AM	Joint Testing of Overall and Simple Effects for the 2-By-2 Factorial Trial Design Eric Leifer, National Heart,Lung and Blood Institute; James Troendle, National Institutes of Health; Alexis Kolecki, National Heart, Lung, and Blood Institute; Dean Follmann, National Institute of Allergy and Infectious Diseases
9:35 AM	A Machine Learning Approach to Multivariate Frailty Models Presentation Jing Wang, The University of Texas at Arlington
9:50 AM	Semiparametric Model for Bivariate Survival Data Subject to Biased Sampling Jin Piao, University of Southern California; Jing Ning, The University of Texas MD Anderson Cancer Center; Yu Shen, The University of Texas MD Anderson Cancer Center
10:05 AM	Misspecification of Covariate Functional Form in the Nested Case-Control Design Presentation Michelle M. Nuño, University of California, Irvine; Daniel L. Gillen, University of California, Irvine

617	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-701
Testing — Contributed Papers
Biometrics Section
Chair(s): Ian Barnett, University of Pennsylvania
8:35 AM	Correlation of Sequential Binomial Variables and Its Application to Multiple Testing Lin Fei, Cincinnati Children's Hospital Medical Center; Changchun Xie, University of Cincinnati
8:50 AM	Testing for single-case designs by combined permutation tests with multivariate ordinal data Luigi Salmaso, University of Padova; Riccardo Ceccato, University of Padova; Rosa Arboretti, University of Padova
9:05 AM	From One Environment to Many: The Problem of Replicability of Statistical Inferences Presentation Michael Higgins, Kansas State University; James J. Higgins, Kansas State University; Jinguang Lin, Kansas State University
9:20 AM	Inference Without Compatibility Michael Law, University of Michigan; Ya'acov Ritov, university of michigan
9:50 AM	COMPLEX TESTING PROBLEMS for MULTIVARIATE DATA and SMALL SAMPLE SIZES: a NONPARAMETRIC APPROACH Stefano Bonnini, University of Ferrara
10:05 AM	Floor Discussion

627 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-605
Advancing the Statistical Analysis of Neuroimaging Data — Invited Papers
Section on Statistics in Imaging, Biometrics Section, WNAR
Organizer(s): Xin Zhang, Florida State University
Chair(s): Xin Zhang, Florida State University
10:35 AM	Deep Learning in Neuroimaging Genetics Wei Pan, University of Minnesota
11:00 AM	Statistical Approaches for Disentangling the Nature of Brain Lesions Russell Shinohara, University of Pennsylvania
11:25 AM	Statistical Methods for Reliable and Reproducible Brain Network Analysis Presentation Ying Guo, Emory University; Suprateek Kundu, Emory University; Ixavier A. Higgins, Emory University; Joshua D. Lukemire, Emory University
11:50 AM	A Consolidated Nonparametric Analytical Approach for Neuroreceptor Mapping with PET Imaging Data Presentation Todd Ogden, Columbia University
12:15 PM	Floor Discussion

628 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-710
Advances in Clinical Outcome Assessments — Invited Papers
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Joseph C Cappelleri, Pfizer Inc
Chair(s): Bellinda King-Kallimanis, U.S. Food and Drug Administration
10:35 AM	Methods for Identifying Treatment-Emergent Symptomatic Adverse Events from the Patient Perspective with Application to the PRO-CTCAE Presentation Gina Lynn Mazza, Mayo Clinic; Ethan Basch, University of North Carolina Lineberger Comprehensive Cancer Center; Lauren J. Rogak, Memorial Sloan Kettering Cancer Center; Amylou C. Dueck, Mayo Clinic
11:00 AM	Mixed Location Scale Hidden Markov Model with an Application to Ecological Momentary Assessment Data Presentation Xiaolei Lin, Fudan University; Robin Mermelstein, University of Illinois at Chicago; Donald Hedeker, University of Chicago
11:25 AM	Identification of Distinct Disease-Activity Trajectories in Patients with Rheumatoid Arthritis Presentation David Gruben, Pfizer, Inc.
11:50 AM	Discussant: Joseph C Cappelleri, Pfizer Inc
12:10 PM	Floor Discussion

629 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-207
The Impacts of Measurement Error in Scientific Discoveries — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, Section on Statistical Learning and Data Science
Organizer(s): Xiangrong Kong, Johns Hopkins University
Chair(s): Kellie Archer, Ohio State University
10:35 AM	Covariate Measurement Error Models, Past Developments and Modern Advancements Presentation Jeffrey S Buzas, University of Vermont
10:50 AM	Weighted Causal Inference Methods with Misclassified Outcomes Grace Yi, University of Waterloo
11:05 AM	Bayesian Adjustment for Measurement Error: Bridging the Gap Between Concepts and Scientific Impact Paul Gustafson, University of British Columbia
11:20 AM	Measurement Error Correction for Change in Nutrient Intake Presentation Bernard Rosner, Channing Division of Network Medicine, Harvard Medical School
11:35 AM	The Centrality of Measurement Error Modeling to Advances in Nutritional Epidemiology Presentation Sharon I. Kirkpatrick, University of Waterloo
11:50 AM	Discussant: Leonard Stefanski, NCSU
12:05 PM	Floor Discussion

635 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-707
Monitoring Health Behaviors with Multi-Sensor Mobile Technology — Invited Papers
ENAR, Biometrics Section, International Chinese Statistical Association
Organizer(s): Vadim Zipunnikov, Johns Hopkins University
Chair(s): Jiawei Bai, Johns Hopkins University
10:35 AM	Translational Biomarkers for Quality of Sleep Dmitri Volfson, Takeda; Brian Tracey, Tufts; Derek Buhl, Takeda; Tamas Kiss, Hungarian Academy of Sciences
11:00 AM	Statistical Modeling of Cross-Systems Biomarkers Presentation Vadim Zipunnikov, Johns Hopkins University; Mike Xiao, National Institute of Mental Health; Kathleen Merikangas, National Institute of Mental Health
11:25 AM	Registration for Exponential Family Functional Data Presentation Julia Wrobel, Columbia University; Vadim Zipunnikov, Johns Hopkins University; Jennifer Schrack, Johns Hopkins University; Jeff Goldsmith, Columbia University
11:50 AM	Wearable Sensor Data Fusion for Affect Lability Detection Fengqing Zhang, Drexel University; Tinashe Tapera, Drexel University; Adrienne Juarascio, Drexel University
12:15 PM	Floor Discussion

646 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-708
Applications of Deep Learning in Pharmaceutical Development — Topic Contributed Papers
Biopharmaceutical Section, Section on Statistical Learning and Data Science, Biometrics Section, Text Analysis Interest Group
Organizer(s): Xin Huang, AbbVie Inc.
Chair(s): Weili He, AbbVie
10:35 AM	Deep Learning-Based Histology Image Analysis for Patient Diagnosis and Selection Presentation Xin Huang, AbbVie Inc.; Liuqing Yang, AbbVie; Yan Sun, AbbVie; Mufeng Hu, AbbVie
10:55 AM	Leveraging Free Text Data for Decision Making in Drug Development Presentation Yan Sun, AbbVie; Jiyeong Jang, University of Illinois at Chicago; Xin Huang, AbbVie Inc.; Hongwei Wang, AbbVie Inc.; Weili He, AbbVie
11:15 AM	Diagnosis of Diabetic Retinopathy Using Medical Images and Deep Learning Method Xuanyao He, Eli Lilly and Company
11:35 AM	Discussant: Hongwei Wang, AbbVie Inc.
11:55 AM	Discussant: Mandy Jin, Merck & Co., Inc.
12:15 PM	Floor Discussion

648 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-702
Are Statistical Methods Developed for Bulk RNAseq Data Appropriate for Single Cell Data Sets? — Topic Contributed Papers
Biometrics Section, Section on Statistics in Genomics and Genetics, ENAR
Organizer(s): Roula Tsonaka, Leiden University MC
Chair(s): Roula Tsonaka, Leiden University MC
10:35 AM	Assumptions and Methods for Normalizing Single-Cell RNA-Seq Data Rhonda Bacher, University of Florida
10:55 AM	Robust Normalisation and Differential Variability Testing for Noisy ScRNAseq Data Presentation Catalina Vallejos, MRC Human Genetics Unit, University of Edinburgh
11:15 AM	Statistical Methods for Flexible Differential Analysis of Cross-Sample Single-Cell RNA-Seq Data Sets Presentation Mark Robinson, University of Zurich
11:35 AM	Unlocking Bulk RNA-Seq Tools for Single Cell Applications Presentation Lieven Clement, Ghent University
11:55 AM	Characterization of Differential Correlation Across Single Cell Differentiation Trajectories with ScDCARS Presentation Shila Ghazanfar, Cancer Research UK Cambridge Institute
12:15 PM	Floor Discussion

650 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-501
Quantum Computing: Optimization Algorithms and Applications — Topic Contributed Papers
Section on Statistical Computing, Biometrics Section, Biopharmaceutical Section
Organizer(s): Sergei Leonov, CSL Behring
Chair(s): James Wendelberger, Los Alamos National Laboratory and University of New Mexico
10:35 AM	Quantum Computing in the Life Sciences Mark Fingerhuth, ProteinQure
10:55 AM	Treasure Hunt for Computational Problems That Can Be Solved Faster by Quantum Annealing Presentation Barry Sanders, University of Calgary; Archismita Dalal, University of Calgary; Radhakrishnan Balu, United States Army Research Laboratory
11:15 AM	Quantum Computing at Lockheed Martin Kristen Pudenz
11:35 AM	Optimization Algorithms of Model-Based Design: Simulated Vs Quantum Annealing Presentation 1 Presentation 2 Valerii Fedorov, ICONplc
11:55 AM	Discussant: Sergei Leonov, CSL Behring
12:15 PM	Floor Discussion

652 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-706
Genomics, Metabolomics, Microbiome and NextGen Sequencing — Contributed Papers
Biometrics Section
Chair(s): Pixu Shi, University of Wisconsin-Madison
10:35 AM	Multivariate Association Analysis with Somatic Mutation Data Chad He, Fred Hutchinson Cancer Research Center; Yang Liu, Wright State University; Ulrike Peters, Fred Hutchinson Cancer Research Center; Li Hsu, Fred Hutchinson Cancer Research Center, USA
10:50 AM	Post-Selection Inference for Regression Models with Linear Constraints, with an Application to Microbiome Data Jiarui Lu, University of Pennsylvania; Hongzhe Li, University of Pennsylvania
11:05 AM	Multivariate Spatial Point Process Models for the Analysis of Spectral Imaging Data Kyu Ha Lee, Harvard T.H. Chan School of Public Health; Brent A. Coull, Harvard T. H. Chan School of Public Health; Jacqueline R Starr, The Forsyth Institute
11:20 AM	SBL – Bayesian Lasso for Detecting Rare Genetic Variants Associated with Survival Phenotypes Presentation Xiaofei Zhou, Ohio State University; Shili Lin, The Ohio State University; Meng Wang, Nationwide Children's Hospital
11:35 AM	Model-Based Clustering of Illumina Microbiome Amplicon Sequence Data Presentation Xiyu Peng, Iowa State University; Karin Dorman, Iowa State University
11:50 AM	Bayesian Curve Credible Bands Approach for Differentially Methylated Regions Detection Chenggong Han, Interdisciplinary Ph.D. Program in Biostatistics, The Ohio State University; Shili Lin, The Ohio State University
12:05 PM	A New Statistical Method to Investigate Translational Regulation Using Ribo-Profiling Data Keren Li, Northwestern University; Matthew Hope, Northwestern University; Frank Fineis, Northwestern University; Xiaozhong Wang, Northwestern University; Ji-Ping Wang, Northwestern University

JSM 2019 Online Program

Activity Details

American Statistical Association