JSM 2017 Online Program

Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme

Activity Details

CE_02C	Sat, 7/29/2017, 8:30 AM - 5:00 PM	H-Holiday Ballroom 6
Longitudinal and Incomplete Data (ADDED FEE) — Professional Development Continuing Education Course
ASA , Biometrics Section
Instructor(s): Geert Molenberghs , Universiteit Hasselt
8:30 AM	Longitudinal and Incomplete Data (ADDED FEE) — Geert Molenberghs , Universiteit Hasselt

CE_03C	Sat, 7/29/2017, 8:30 AM - 5:00 PM	H-Holiday Ballroom 4
Bayesian Designs for Phase I-II Clinical Trials (ADDED FEE) — Professional Development Continuing Education Course
ASA , Biometrics Section , Section on Bayesian Statistical Science
Instructor(s): Peter Thall, M.D. Anderson Cancer Center, Ying Yuan, M.D. Anderson Cancer Center
8:30 AM	Bayesian Designs for Phase I-II Clinical Trials (ADDED FEE) — Peter Thall, M.D. Anderson Cancer Center ; Ying Yuan, M.D. Anderson Cancer Center

CE_04C	Sat, 7/29/2017, 8:30 AM - 5:00 PM	H-Key Ballroom 8
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
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

CE_09C	Sun, 7/30/2017, 8:30 AM - 5:00 PM	H-Key Ballroom 8
Regression Modeling Strategies (ADDED FEE) — Professional Development Continuing Education Course
ASA , Biometrics Section
Instructor(s): Frank Harrell, Vanderbilt University
8:30 AM	Regression Modeling Strategies (ADDED FEE) — Frank Harrell, Vanderbilt University

CE_10C	Sun, 7/30/2017, 8:30 AM - 5:00 PM	H-Key Ballroom 12
Precision Medicine Through Optimal Treatment Regimes (ADDED FEE) — Professional Development Continuing Education Course
ASA , Biometrics Section
Instructor(s): Eric Laber, North Carolina State University, Marie Davidian, North Carolina State University, Anastasios (Butch) Tsiatis, North Carolina State University, Shannon Holloway, North Carolina State University
8:30 AM	Precision Medicine Through Optimal Treatment Regimes (ADDED FEE) — Eric Laber, North Carolina State University ; Marie Davidian, North Carolina State University ; Anastasios (Butch) Tsiatis, North Carolina State University ; Shannon Holloway, North Carolina State University

CE_12C	Sun, 7/30/2017, 8:30 AM - 5:00 PM	H-Holiday Ballroom 6
Statistical Analysis with Missing Data (ADDED FEE) — Professional Development Continuing Education Course
ASA , Biometrics Section
Instructor(s): Roderick J Little, University of Michigan, Trivellore Raghunathan, University of Michigan School of Public Health
8:30 AM	Statistical Analysis with Missing Data (ADDED FEE) — Roderick J Little, University of Michigan ; Trivellore Raghunathan, University of Michigan School of Public Health

6 * !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-316
New Methods and Software for Adaptive Designs — Invited Papers
Biopharmaceutical Section , Biometrics Section , Section on Statistical Computing
Organizer(s): Jon Steingrimsson, Johns Hopkins University
Chair(s): Jon Steingrimsson, Johns Hopkins University
2:05 PM	Subgroup Inference for Multiple Treatments and Multiple Endpoints — Brad Carlin, University of Minnesota ; Patrick Schnell, University of Minnesota ; Peter Mueller, UT Austin ; Qi Tang, AbbVie, Inc.
2:25 PM	An Optimized Adaptive Enrichment Design for Multi-Arm Trials — Michael Rosenblum, Johns Hopkins University ; Aaron Fisher, Johns Hopkins University ; Jon Steingrimsson, Johns Hopkins University ; Joshua A Betz, Johns Hopkins University
2:45 PM	Bayesian Interval Based Dose Finding Designs and a Web-Based Statistical Tool — Yuan Ji, NorthShore University HealthSystem/University of Chicago ; Sue-Jane Wang, FDA ; Shengjie Yang, NorthShore University HealthSystem
3:05 PM	Open Source R, Shiny Interface and R Markdown: Applications for Group Sequential Design — Keaven Anderson, Merck Research Laboratories
3:25 PM	Discussant: Scott Emerson, University of Washington
3:45 PM	Floor Discussion

19 * !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-323
Advances in Statistical Modeling and Inference for Phylodynamics and Molecular Epidemiology — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): James Faulkner, University of Washington
Chair(s): Weiqiang Zhou, Johns Hopkins University Bloomberg School of Public Health
2:05 PM	Locally-Adaptive Bayesian Nonparametric Models for Multivariate Processes in Phylodynamics — James Faulkner, University of Washington ; Vladimir Minin, University of Washington
2:25 PM	Fundamental Limits of Inference in Phylodynamics — James Johndrow, Stanford University ; Julia Palacios, Stanford University
2:45 PM	Adaptive MCMC in Bayesian Phylogenetics and Phylodynamics — Guy Baele, KU Leuven ; Philippe Lemey, KU Leuven ; Andrew Rambaut, University of Edinburgh ; Marc A. Suchard, University of California, Los Angeles
3:05 PM	Bayesian Phylodynamic Inference for Infectious Disease Dynamics Using the Linear Noise Approximation — Mingwei Tang, Department of Statistics, University of Washington ; Vladimir Minin, University of Washington
3:45 PM	Floor Discussion

28	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-319
Personalized Medicine — Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Medical Devices and Diagnostics
Chair(s): Jeffrey Miller, Harvard School of Public Health
2:05 PM	Wearable Devices in Clinical Trials — Greg Hather, Takeda Pharmaceuticals ; Ray Liu, Takeda Pharmaceuticals
2:20 PM	Semiparametric Benefiting Subgroup Identification via Credible Subgroups — Patrick Schnell, University of Minnesota ; Qi Tang, AbbVie, Inc. ; Peter Mueller, UT Austin ; Brad Carlin, University of Minnesota
2:35 PM	Determining Personalized Dosing Intervals — Xiaomao Li, university of wisconsin-madison ; Jun Shao, university of wisconsin-madison ; Menggang Yu, university of wisconsin-madison
2:50 PM	Constructing a Confidence Interval for the Fraction Who Benefit from Treatment Using Randomized Trial Data — Emily Huang, Johns Hopkins University Department of Biostatistics ; Ethan Fang, Pennsylvania State University ; Daniel Hanley, Johns Hopkins Division of Brain Injury Outcomes ; Michael Rosenblum, Johns Hopkins University
3:05 PM	Identifying Differentially Expressed Genes from Two Transcriptomes of an Individual -- a Step Toward Precision Medicine — Qike Li, University of Arizona ; Helen Zhang, University of Arizona ; Yves Lussier, University of Arizona
3:20 PM	Data Sharing for Validation of High-Throughput Chemical Screening Experiments of Cancer Cell Lines — Hongmei Liu, University of Miami ; J. Sunil Rao, University of Miami
3:35 PM	A Mixture of Mixed Logistic Regression Models for Determining Optimal Dynamic Treatment Regimes — Bing Yu ; Bruce Craig, Purdue University ; Michael Yu Zhu, Purdue University

42	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-348
A Cornecopia of Statistics — Contributed Papers
General Methodology , Section on Statistics in Defense and National Security , ENAR , WNAR , Section on Teaching of Statistics in the Health Sciences , Section on Physical and Engineering Sciences , Biometrics Section
Chair(s): Minge Xie, Rutgers University
2:05 PM	Time Series Disaggregation for Simulation of Spare Parts Inventory Management — Thomas Willemain, Rensselaer Polytechnic Institute ; Adam George Petrie, University of Tennessee
2:20 PM	Variance Estimation for the Sample Mean of Dependent Data Stream — Lei Jin, Texas A&M University -Corpus Christi
2:35 PM	Clustering Adult Cystic Fibrosis and Chronic Obstructive Pulmonary Disease Patients Based on Lung Function Dynamics — Barbara Bailey, San Diego State University
2:50 PM	Computation of Ancestry Scores with Mixed Families and Unrelated Individuals — Fred Wright, North Carolina State University ; Yi-Hui Zhou, North Carolina State University ; J. S. (Steve) Marron, University of North Carolina
3:05 PM	Very High Energy Particle-Beam and Gamma Radiation Exposure and Familial Relatedness in Mice — Mark P Little, National Cancer Institute ; Pavel Chernyavskiy, National Cancer Institute ; Elijah Edmondson, Frederick National Laboratory for Cancer Research ; Michael Weil, Colorado State University
3:35 PM	Estimation of the Variance of Nonparametric Trend Estimates from Time Series Replicates Using the Empirical Moment Generating Function — Sucharita Ghosh, Swiss Federal Research Institute WSL

44 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-308
Joint Modeling of Longitudinal Data, Recurrent Events, and a Terminal Event — Invited Papers
ENAR , Biometrics Section , Lifetime Data Analysis Interest Group
Organizer(s): Xuelin Huang, M D Anderson Cancer Center
Chair(s): Liang Li, University of Texas MD Anderson Cancer Center
4:05 PM	Analyzing Recurrent Marker Data in the Presence of a Terminal Event: Does the Terminal Event Form a Source of Informative Censoring? — Mei-Cheng Wang, Johns Hopkins University
4:30 PM	Using Longitudinal Biomarker Data to Dynamically Predict Time to Disease Progression — Xuelin Huang, M D Anderson Cancer Center ; Fangrong Yan, China Pharmaceutical Univeristy ; Ruosha Li, University of Texas Health Science Center at Houston ; Jing Ning, University of Texas MD Anderson Cancer Center ; Xiao Lin, China Pharmaceutical University/MD Anderson Cancer Center
4:55 PM	Censoring Unbiased Regression Trees and Ensembles — Robert Strawderman, University of Rochester
5:20 PM	Joint Modeling of Marker and Event Processes While Adjusting for Dependent Observation — Richard John Cook, University of Waterloo
5:45 PM	Floor Discussion

47 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-320
Challenges in the Integrative Analysis of Multiple Genomics Studies — Invited Papers
Biometrics Section , ENAR , Section on Statistics in Genomics and Genetics
Organizer(s): Sihai Dave Zhao, University of Illinois at Urbana-Champaign
Chair(s): Ruijun Ma, Rutgers University
4:05 PM	Integrative Genetic Risk Prediction Using Nonparametric Empirical Bayes Classification — Sihai Dave Zhao, University of Illinois at Urbana-Champaign
4:30 PM	Estimating Effect-Size Distribution from Summary-Level Statistics for Large Genome-Wide Association Studies — Yan Zhang, Johns Hopkins Bloomberg School of Public Health ; Nilanjan Chatterjee, Johns Hopkins University
4:55 PM	Selective Inference in Genomics — Chiara Sabatti, Stanford University
5:20 PM	Discussant: Hongyu Zhao, Yale University
5:45 PM	Floor Discussion

54 * !	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-314
Enabling Reproducibility in Statistical Translations of Genomics Data for Biomedical Research — Invited Papers
ENAR , Biometrics Section , Caucus for Women in Statistics , Section on Statistics in Genomics and Genetics
Organizer(s): Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
Chair(s): Therri Usher, FDA
4:05 PM	Handle Heterogeneity in Pooled Studies — Mengling Liu, New York University School of Medicine
4:30 PM	Normalization and Reproducibility in Single Cell RNA-Seq — Zhijin Wu, Brown University
4:55 PM	A Cautionary Note on the Validation Method for Molecular Classification Studies — Li-Xuan Qin, Memorial Sloan Kettering Cancer Center
5:20 PM	Discussant: Naomi Altman, Penn State University
5:45 PM	Floor Discussion

58 *	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-304
Neuroimaging Statistics for Aging and Dementia Studies — Topic Contributed Papers
Biometrics Section , Section on Statistics in Imaging , International Society for Clinical Biostatistics
Organizer(s): Yorghos Tripodis, Boston University
Chair(s): Alden Gross, Johns Hopkins University
4:05 PM	The Effects of White Matter Disease on the Automated Brain Segmentation in an Alzheimer's Disease Population — Dana Tudorascu ; Helmet Karim, University of Pittsburgh ; Lea Alhilali, Barrow Neurological Institute, ; Oscar Lopez, University of Pittsburgh ; Howard Aizenstein, University of Pittsburgh ; Bill Klunk, University of Pittsburgh ; Ciprian M Crainiceanu, Johns Hopkins University
4:25 PM	What Happens Before Cognitive Impairment? Brain Aging Revealed by Neuroimaging. — Laurel Beckett ; Teresa Filshtein, University of California, Davis ; Cathy Wang, Harvard University, Dept of Biostatistics
4:45 PM	Causal Modeling of Exposure to Repetitive Head Impacts on Tractrography Outcomes — Yorghos Tripodis, Boston University
5:05 PM	Floor Discussion

67	Sun, 7/30/2017, 4:00 PM - 5:50 PM	CC-319
Longitudinal Biometrics Data — Contributed Papers
Biometrics Section
Chair(s): Su Chen, University of Memphis
4:05 PM	Comparing the Accuracy of Two Diagnostic Tests in the Analysis of CTC Images for Detecting Colon Polyps — Krishna Saha, Central Connecticut State University
4:20 PM	On the Use of Multiple Criteria to Select a Working Correlation Structure for Use Within Generalized Estimating Equations — Philip M. Westgate, University of Kentucky
4:35 PM	Regularity of a Renewal Process Estimated from Binary Data — John Rice, University of Rochester ; Robert Strawderman, University of Rochester ; Brent A. Johnson, University of Rochester
4:50 PM	Extracting Scalar Measures from Longitudinal Trajectories: Applications to Placebo Response — Thaddeus Tarpey, Wright State University ; Eva Petkova, New York University School of Medicine ; R. Todd Ogden, Department of Biostatistics, Columbia University ; Adam Ciarleglio, Columbia
5:05 PM	Methods to Detect and Eliminate Outliers in Longitudinal Childhood Obesity Data — Mallik Rettiganti, University of Arkansas for Medical Sciences ; Avishek Chakraborty, University of Arkansas ; Anthony Goudie, University of Arkansas for Medical Sciences
5:20 PM	Differences in Estimation Between the Longitudinal Model and the Longitudinal Portion of the Joint Model — Kendra Plourde, Boston University ; Yorghos Tripodis, Boston University ; Elizabeth Rose Mayeda, University of California

83	Sun, 7/30/2017, 8:30 PM - 10:30 PM	CC-Halls A&B
Your Invited Poster Evening Entertainment: No Longer Board — Invited Poster Presentations
Astrostatistics Special Interest Group , Biometrics Section , Biopharmaceutical Section , Business and Economic Statistics Section , ENAR , Government Statistics Section , IMS , International Society for Bayesian Analysis (ISBA) , Section for Statistical Programmers and Analysts , Section on Statistical Consulting , Section on Statistical Education , Section on Statistical Learning and Data Science , Section on Statistics and the Environment , Social Statistics Section , Survey Research Methods Section , Section on Statistics in Genomics and Genetics
Chair(s): Jessi Cisewski, Yale University
1:	Overview of SAMSI Program on Statistical, Mathematical and Computational Methods for Astronomy (ASTRO) — Gutti Jogesh Babu, The Pennsylvania State University ; David Jones, SAMSI / Duke
2:	A Multi-Resolution 3D Map of the Intergalactic Medium via the Lyman-Alpha Forest — Collin Eubanks, Carnegie Mellon University ; Jessi Cisewski, Yale University ; Rupert Croft, Carnegie Mellon University ; Doug Nychka, National Center for Atmospheric Research ; Larry Wasserman, Carnegie Mellon
3:	Testing Bayesian Galactic Mass Estimates Using Outputs from Hydrodynamical Simulations — Gwendolyn Eadie, McMaster University ; Benjamin Keller, McMaster University ; William Harris, McMaster University ; Aaron Springford, Queen's University
4:	Quantifying Discovery in Astro/Particle Physics: Frequentist and Bayesian Perspectives — David Van Dyk, Imperial College London ; Sara Algeri, Imperial College London ; Jan Conrad, University of Stockholm
5:	Computer Model Calibration to Enable Disaggregation of Large Parameter Spaces, with Application to Mars Rover Data — David Craig Stenning, SAMSI/Duke University ; Working Group 1 ASTRO Program, SAMSI
6:	The Association Between Copy Number Aberration, DNA Methylation, and Gene Expression — Wei Sun, Fred Hutchinson Cancer Research Center
7:	Rerandomization: a Flexible Framework for Experimental Design — Kari Lock Morgan, Penn State University
8:	IMs for IVs: An Inferential Model Approach to Instrumental Variable Regression — Nicholas Aaron Syring, NCSU ; Ryan Martin, NCSU
9:	Detecting Differential Gene Expression by Single-Cell RNA Sequencing — Mingyao R Li, University of Pennsylvania ; Cheng Jia, University of Pennsylvania ; Nancy Ruonan Zhang, Wharton School , University of Pennsylvania
10:	Statistical Science and Policy at the EPA — Elizabeth Mannshardt, US Environmental Protection Agency
11:	Approximate Message Passing Algorithms for High-Dimensional Regression — Cynthia Rush, Columbia University
12:	Generalized Fiducial Inference for High-Dimensional Data — Jan Hannig, University of North Carolina at Chapel Hill ; Jonathan P Williams, University of North Carolina at Chapel Hill
13:	The Combination of Confirmatory and Contradictory Statistical Evidence at Low Resolution — Ruobin Gong, Harvard University ; Xiao-Li Meng, Harvard University
14:	Approximate Confidence Distribution Computing: An Effective Likelihood-Free Method with Statistical Guarantees — Suzanne Thornton, Rutgers University ; Minge Xie, Rutgers University
15:	R Package TDA for Statistical Inference on Topological Data Analysis — Jisu Kim, Carnegie Mellon University
16:	Teaching a Large, Project-Based Statistical Consulting Class — Emily Griffith, NC State University
17:	Transforming Undergraduate Statistics Education Through Experiential Learning: It's Essential! — Tracy Morris, University of Central Oklahoma ; Cynthia Murray, University of Central Oklahoma ; Tyler Cook, University of Central Oklahoma
18:	The Geometry of Synchronization Problems and Learning Group Actions — Tingran Gao, Duke University ; Jacek Brodzki, University of Southampton ; Sayan Mukherjee, Duke University
19:	Sufficient Markov Decision Processes with Alternating Deep Neural Networks — Longshaokan Wang, North Carolina State University ; Eric Laber, North Carolina State University ; Katie Witkiewitz, University of New Mexico
20:	Optimal Dynamic Treatment Regimes Using Decision Lists — Yichi Zhang, Harvard University ; Eric Laber, North Carolina State University ; Anastasios (Butch) Tsiatis, North Carolina State University ; Marie Davidian, North Carolina State University
21:	Predicting Phenotypes from Microarrays Using Amplified, Initially Marginal, Eigenvector Regression — Lei Ding, Indiana University ; Daniel J. McDonald, Indiana University
22:	Computer Vision Meets Television — Taylor Arnold, University of Richmond ; Lauren Tilton, University of Richmond
23:	Generalized Fiducial Inference for Nonparametric Function Estimation — Randy C.S. Lai, University of Maine
24:	A Phylogenetic Transform Enhances Analysis of Compositional Microbiota Data — Justin David Silverman, Duke University ; Sayan Mukherjee, Duke University ; Lawrence A David, Duke University
25:	Bayesian Multispecies Ecological Models for Paleoclimate Reconstruction Using Inverse Prediction — John Tipton, Colorado State University ; Mevin Hooten, Colorado State University
26:	Fast Maximum Likelihood Inference for Spatial Generalized Linear Mixed Models — Yawen Guan, Penn State University ; Murali Haran, Pennsylvania State University
27:	Fair Prediction with Disparate Impact: a Study of Bias in Recidivism Prediction Instruments — Alexandra Chouldechova, Carnegie Mellon University
28:	I Ran a Nonresponse Follow-Up Survey; Now What Do I Do? — Phillip Kott, RTI

94 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-314
Suicidal Ideation, Behavior, and Risk: Assessing Mediating Factors and Designing Interventions — Invited Papers
Biometrics Section , Mental Health Statistics Section , ENAR
Organizer(s): Pilar Lim, Janssen Research & Development, LLC
Chair(s): Pilar Lim, Janssen Research & Development, LLC
8:35 AM	Mediation, Interaction, and Causation in the Associations Between Religious Service Attendance and Suicide — Tyler J. VanderWeele, Harvard University
9:00 AM	Childhood Depression, Adolescent Alcohol Use and Suicide Attempt: An Exploration of Moderated Mediation — Rashelle Jean Musci, Johns Hopkins Bloomberg School of Public Health ; Trang Q Nguyen, Johns Hopkins Bloomberg School of Public Health ; Nicholas Ialongo, Johns Hopkins Bloomberg School of Public Health ; Holly Wilcox, Johns Hopkins School of Medicine
9:25 AM	An Ordinal Mediation Analysis to Assess the Extent to Which a Change in Suicide Risk Is Mediated by or Independent of Improvement in Depression Symptoms — Yun Zhang, Janssen Research & Development, LLC ; Rosanne Lane, Janssen Research & Development, LLC ; Pilar Lim, Janssen Research & Development, LLC
9:50 AM	Discussant: Elizabeth Stuart, Johns Hopkins University
10:15 AM	Floor Discussion

99 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-316
Causal Inference for Infectious Disease Outcomes: Interference, Contagion, and Networks — Invited Papers
Section on Statistics in Epidemiology , Biometrics Section , ENAR
Organizer(s): Forrest W Crawford, Yale School of Public Health
Chair(s): M. Elizabeth Halloran, Fred Hutchinson Cancer Research Center
8:35 AM	Randomization inference with general interference and censoring — Wen Wei Loh, UNC ; Michael Hudgens, UNC
8:55 AM	Estimating Vaccine Effects in Longitudinal Studies of Interconnected Populations — Forrest W Crawford, Yale School of Public Health
9:15 AM	Identification and Semiparametric Estimation of Causal Effects for Contagious Processes — Elizabeth L Ogburn, Johns Hopkins University
9:35 AM	Estimation of Causal Effects in Randomized Trials of Infectious Disease Prevention with General Interference — Nicole Bohme Carnegie, University of Wisconsin-Milwaukee
9:55 AM	Discussant: Victor De Gruttola, Harvard T. H. Chan School of Public Health
10:15 AM	Floor Discussion

111 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-312
New Dimension Reduction and Statistical Learning Methods for Biomedical Data — Topic Contributed Papers
Biometrics Section , Section on Statistical Learning and Data Science
Organizer(s): Shanshan Ding, University of Delaware
Chair(s): Shanshan Ding, University of Delaware
8:35 AM	Longitudinally Measured Predictors: Approaches for Sufficient Dimension Reduction — Efstathia Bura, TU Wien ; Liliana Forzani, Universidad Nacional del Litoral ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
8:55 AM	On Reject and Refine Options in Multicategory Classification — Chong Zhang, Seattle, Washington ; Wenbo Wang, Binghamton University ; Xingye Qiao, Binghamton University
9:15 AM	Structured Mixture of linear mappings in high dimension — Florence Forbes, French Institute for Research in Computer Science and Automation (INRIA) ; Chun-Chen Tu, Universilty of Michigan ; Naisyin Wang, Universilty of Michigan ; Benjamin Lemasson, INSERM, Univ. Grenoble Alpes
9:35 AM	Sparse Minimum Discrepancy Approach to Sufficient Dimension Reduction with Simultaneous Variable Selection in Ultrahigh Dimension — Wei Qian, Rochester Institute of Technology ; Shanshan Ding, University of Delaware ; Dennis Cook, University of Minnesota
9:55 AM	Floor Discussion

122	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-313
Survival Analysis: New Models and Methods — Contributed Papers
Biometrics Section
Chair(s): Wei-Ting Hwang, University of Pennsylvania
8:35 AM	Generalized Accelerated Recurrence Time Model for Multivariate Recurrent Event Data with Missing Event Type — Huijuan Ma ; Limin Peng, Emory University ; Zhumin Zhang, University of Wisconsin-Madison ; HuiChuan J. Lai, University of Wisconsin-Madison
8:50 AM	A Simulation Based Clinical Trial Design for Time-To-Event Endpoint Using the Concept of Relative Time Utilizing the Generalized Integer Gamma Distribution — Milind Phadnis
9:05 AM	Envelopes for Censored Quantile Regression — Yue Zhao, KU Leuven ; Zhihua Su, University of Florida ; Ingrid Van Keilegom, KU Leuven ; Shanshan Ding, University of Delaware
9:20 AM	Marginal Analysis of Cancer Screening Effect on Mortality Adjusting for Screening Contamination — Sheng Qiu ; Alex Tsodikov, University of Michigan
9:35 AM	Additive Rate Model for Recurrent Event Data with Intermittently Observed Time-Dependent Covariates — Tianmeng Lyu, Univ. Minnesota Biostatistics Dept. ; Xianghua Luo, University of Minnesota ; Chiung-Yu Huang, Johns Hopkins University
9:50 AM	Inference of on Time Specific Difference and Ratio of Kaplan-Meier Estimates — Jeong-Gun Park, Brigham & Womens Hospital / Harvard Medical School ; Kelly Im, Brigham and Women's Hospital ; Francesco Nordio, Brigham and Women's Hospital ; Sabina Murphy, Brigham and Women's Hospital ; Yared Gurmu, Brigham & Women's Hospital
10:05 AM	Assessing the Distribution of Discrete Survival Time in Presence of Recall Error — Sedigheh Mirzaei Salehabadi, NICHD ; Rajeshwari Sundaram, NICHD

136 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-308
Toward a Learning-Health System: Methods and Strategies for Data-Driven Health Care — Invited Papers
Health Policy Statistics Section , Society for Medical Decision Making , Biometrics Section , Section on Statistical Learning and Data Science
Organizer(s): Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute
Chair(s): Zhenke Wu, University of Michigan
10:35 AM	Improving Dynamic Predictions from Joint Models of Longitudinal and Survival Data Using Time-Varying Effects — Dimitris Rizopoulos, Erasmus University Medical Center
11:00 AM	Sending Analysis to the Data: Optimizing Information Exchange in the Learning Health Care System — Darren Toh, Harvard Medical School and Harvard Pilgrim Health Care Institute
11:25 AM	Learning Health Care Systems in Context: The Information, Economic, and Ethical Considerations Revolutionizing Medicine — Mary Helen Cooke, The Johns Hopkins Health System
11:50 AM	Statisticians Leading the Way: Advocating for Learning Health Systems and Collaborating Effectively with Clinical Stakeholders — Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute ; Scott Zeger, Johns Hopkins University
12:15 PM	Floor Discussion

139 !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-320
Challenges and Advances in Statistical Inference for Problems with Nonregularity in the Era of Big Data — Invited Papers
WNAR , Biometrics Section , IMS
Organizer(s): Youyi Fong, Fred Hutchinson Cancer Research Center
Chair(s): Kenneth Rice, University of Washington
10:35 AM	Model-Robust Inference for Continuous Threshold Regression Models — Chongzhi Di, Fred Hutchinson Cancer Research Center ; Ying Huang, Fred Hutchinson Cancer Research Center ; Peter Gilbert, Fred Hutchinson Cancer Research Center ; Youyi Fong, Fred Hutchinson Cancer Research Center
10:55 AM	Local M-Estimation with Discontinuous Criterion for Dependent and Limited Observations — Myung Hwan Seo, SEOUL NATIONAL UNIVERSITY ; Taisuke Otsu, London School of Economics
11:15 AM	Intelligent Sampling for Identifying Thresholds in Observed Databases and Time Series — Zhiyuan Lu, University of Michigan ; Moulinath Banerjee, University of Michigan ; George Michailidis, University of Florida
11:35 AM	Marginal Screening in Case-Control Studies — Min Qian, Columbia University ; Ian McKeague, Columbia University
11:55 AM	Clustering Functional Databased on Change-Point Models for Electronic Monitoring Data — Chongzhi Di, Fred Hutchinson Cancer Research Center ; Yifan Zhu, Fred Hutchinson Cancer Research Center ; Ying Qing Chen, Fred Hutchinson Cancer Research Center
12:15 PM	Floor Discussion

140 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-314
The Challenges and Advantages of Utilizing Bayesian Statistical Methodology in Extrapolation of Adult Use Data to Pediatric Study Designs and Evaluation — Invited Papers
Biopharmaceutical Section , Section on Bayesian Statistical Science , Biometrics Section
Organizer(s): Yodit Seifu, Ferring Pharmaceuticals
Chair(s): Yodit Seifu, Ferring Pharmaceuticals
10:35 AM	Bayesian Statistics in Extrapolation for Pediatric Trials — Freda Cooner, FDA/CDER/OTS/OB
10:55 AM	Bayesian Statistical Methodologies for Evaluating Similarity in Exposure-Response Relationship Between Adults and Pediatrics — Mathangi Gopalakrishnan, Center for Translational Medicine, University of Maryland, Baltimore
11:15 AM	Bayesian and Frequentist Partial Extrapolation Approaches in Organ Transplantation to Support the Pediatric Plan for European Health Authorities — Steffen Ballerstedt, Novartis Pharma AG ; Jennifer Ng, Novartis Pharmaceuticals Inc
11:35 AM	Using Bayesian Methods to Incorporate Historical Information on Control Rate and Treatment Effect: An HIV-Paediatric Trial — Clara Dominguez Islas, MRC Biostatistics Unit ; Nicky Best, GlaxoSmithKline ; Rebecca Turner, MRC Biostatistics Unit ; Naomi Givens, GlaxoSmithKline ; Rimgaile Urbaityte, GlaxoSmithKline ; Sophie Barthel, GlaxoSmithKline ; Adrian Mander, MRC Biostatistics Unit
11:55 AM	Discussant: Margaret Gamalo-Siebers, Eli Lilly
12:15 PM	Floor Discussion

153 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-321
Recent Developments in Functional Data Analysis and Empirical Likelihood Methods in Biostatistics — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Ao Yuan, Georgetown University
Chair(s): Ming T Tan, Georgetown University
10:35 AM	Empirical Likelihood Confidence Intervals for Mean Medical Cost — Gengsheng Qin, Georgia State University ; Jenny Jeyarajah, Georgia State University
10:55 AM	Influence of Biological Conditions to Temporal Gene Expressions Based on Variance Analysis — Dianliang Deng, University of Regina
11:15 AM	Functional Regression Estimation with Application to Sparsely Observed Data — Ao Yuan, Georgetown University ; Hongbin Fang, Georgetown University ; Ming T Tan, Georgetown University
11:35 AM	Gene-Based Association Testing of Dichotomous Traits with Generalized Functional Linear Mixed Models Using Extended Pedigrees — Ruzong Fan ; Yingda Jiang, University of Pittsburgh ; Chi-yang Chiu, NIH ; Momiao Xiong, University of Texas ; Christopher I Amos, Geisel School of Medicine at Dartmouth ; Daniel Weeks, University of Pittsburgh ; Richard John Cook, University of Waterloo ; M'Hamed Lajimi Lakhal-Chaieb, Université Laval ; Qi Yan, Division of Pulmonary Medicine, Allergy and Immunology, Children's Hospital of Pittsburgh ; Wei Chen, University of Pittsburgh ; Michael B. Gorin, UCLA ; Yvette P. Conley, University of Pittsburgh ; Alexander F. Wilson, NIH ; Joan Bailey-Wilson, NIH ; McMahon Francis, NIH
11:55 AM	Estimation and Hypothesis Test for Mean Curve with Functional Data by Reproducing Kernel Hilbert Space Methods — Hongbin Fang, Georgetown University ; Ming Xiong, Central China Normal University ; Ao Yuan, Georgetown University ; Ming T Tan, Georgetown University ; Colin O. Wu, Office of Biostatistics Research, National Heart, Lung and Blood Institute, NIH
12:15 PM	Floor Discussion

160	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-323
SPEED: Biometrics — Contributed Speed
Biometrics Section , Section on Statistics in Genomics and Genetics
Chair(s): Dootika Vats, University of Minnesota
10:35 AM	Relative Efficiency of Unequal Versus Equal Cluster Sizes in Cluster Randomized Trials Using Generalized Estimating Equation Models — Esther Lu, Washington University School of Medicine
10:40 AM	Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data — I-Chen Chen, University of Kentucky ; Philip M. Westgate, University of Kentucky
10:45 AM	Kernel-Based Bayesian Model for Genomic Selection — Xiaowei Hu, Oklahoma State University ; charles chen, oklahoma state university ; lan zhu, oklahoma state university
10:50 AM	Smoothing Splines Approach for Longitudinal Analysis of Functional Outcomes — Kush Kapur, Boston Children's Hospital, Harvard Medical School ; Rajesh Selukar, SAS Institute Inc ; Basil Darras, Boston Children's Hospital, Harvard Medical School ; Seward Rutkove, Beth Israel Deaconess Medical Center, Harvard Medical School
10:55 AM	Model Comparison for Hip Fracture Patients Hospital Readmission Prediction — Qingqing Dai, Oklahoma State University ; Zhuqi Miao, Oklahoma State University ; lan zhu, oklahoma state university ; Scott Shepherd, Oklahoma State University ; William Paiva, Oklahoma State University
11:00 AM	Combining Biomarkers for Risk Prediction Using Approximated Rank Correlation Statistic with Censored Survival Data — Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine
11:05 AM	High-Dimensional Mediation Analysis of the Effect of Varenicline on Alcohol Consumption in Mice — John J. Dziak, Penn State University ; Arielle Deutsch, Penn State University ; Runze Li, The Pennsylvania State University ; Helen M. Kamens, Penn State University
11:10 AM	Informative Group Testing for Multiplex Assays — Christopher Bilder, University of Nebraska-Lincoln ; Joshua Tebbs, University of South Carolina ; Christopher McMahan, Clemson University
11:15 AM	Impact of Covariate Measurement Error on Failure Time Analysis in the Presence of Competing Risks — Carrie Caswell, University of Pennsylvania ; Sharon X. Xie, University of Pennsylvania
11:20 AM	Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study — Adam Ciarleglio, Columbia ; Eva Petkova, New York University School of Medicine ; Thaddeus Tarpey, Wright State University ; Zhe Su, New York University School of Medicine ; R. Todd Ogden, Department of Biostatistics, Columbia University
11:30 AM	A Semiparametric Latent Trait Model for Multiple Mixed Continuous, Binary and Ordinal Outcomes — Sophie Yu-Pu Chen, University of Michigan ; Alex Tsodikov, University of Michigan
11:35 AM	Consistent Estimator for Logistic Random Effect Model — Yizheng Wei ; Yanyuan Ma, Penn State University ; Tanya P Garcia, Department of Epidemiology and Biostatistics Texas A&M Health Science Center ; Samiran Sinha, Department of Statistics, Texas A&M University
11:40 AM	Increasing Precision and Removing Conditional Bias by Appropriate Adjustment for Baseline Variables in Randomized Trials — Bingkai Wang, Johns Hopkins Bloomberg SPH ; Michael Rosenblum, Johns Hopkins University
11:50 AM	Weighted Bayesian Random-Effects Meta-Analysis Models — Uma Siangphoe, U.S. Food and Drug Administration
11:55 AM	Time-to-event analysis when the event of interest is defined on a finite time interval and is subject to a competing risk — Catherine Lee ; Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health
12:00 PM	A Procedure to Control for Population Stratification in Genome-Wide Association Studies with Rare Variants — Zhengyang Zhou, Southern Methodist University ; Chao Xing, University of Texas Southwestern Medical Center ; Hung-Chih Ku, DePaul University
12:05 PM	Evaluating Accuracy of Diagnostic Tests with Empirical Methods — Di Lu, Georgetown University ; Ao Yuan, Georgetown University
12:10 PM	Association Test for Ordinal Categorical Outcome — Miao Zhang, University of Arizona ; Jin Zhou, University of Arizona ; Joseph Watkins, University of Arizona
12:15 PM	Floor Discussion

164	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-313
Random and Mixed Effect Models — Contributed Papers
Biometrics Section , Section for Statistical Programmers and Analysts
Chair(s): Kathryn Barger
10:35 AM	Meta-Analysis of Incidence of Rare Events Using Individual Patient-Level Data — Chen Chen, The George Washington University ; Yan Ma, The George Washington University ; Yong Ma, FDA/CDER/OTS/OB/DB VII
10:50 AM	A Site-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials — Brian Di Pace, Virginia Commonwealth Univ ; Roy T Sabo, Virginia Commonwealth University
11:05 AM	LARGE-SCALE HYPOTHESIS TESTING with a THREE-COMPONENT BETA CONTAMINATION MODEL — Ya Qi ; Richard Charnigo, University of Kentucky
11:20 AM	Linear Modal Regression with Errors in Variables — Xiang Li, University of South Carolina ; Xianzheng Huang, University of South Carolina
11:35 AM	A Modified Mixed Model Approach to the Large Scale Multiple Testing Problem — John Grego, Univ of South Carolina ; Paramita Chakraborty, Department of Statistics, University of South Carolina ; Chong Ma, University of South Carolina Columbia ; James Lynch, Department of Statistics, University of South Carolina
11:50 AM	On the Effect of Co-Exposure to Multiple Toxicants — Xinhua Liu, Columbia University ; Zhezhen Jin, Columbia University
12:05 PM	Does Environmental Smoking Mediate the Association Between Sleep Quality and Perinatal Depressive Symptoms? a Random Effect Latent Variable Model — Alfred Mbah

202 * !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-340
New Exploratory Methods and Inference Approaches for Massive Multi-Modal Data with Applications to Brain Imaging — Invited Papers
Section on Statistics in Imaging , ENAR , Biometrics Section
Organizer(s): Hernando Ombao, KAUST and UC Irvine
Chair(s): Hernando Ombao, KAUST and UC Irvine
2:05 PM	Structure-Function Coupling in Multimodal Neuroimaging — Russell Shinohara, University of Pennsylvania ; Kristin Linn, University of Pennsylvania ; David Roalf, University of Pennsylvania ; Theodore Satterthwaite, Univ of Pennsylvania ; Simon Vandekar, University of Pennsylvania
2:30 PM	A Bayesian Approach for Multi-¬Subject Effective Connectivity Inference Using Multi-¬Modal Neuroimaging Data — Michele Guindani, University of California, Irvine
2:55 PM	Beyond Linear Algebra: Analysis of Functional Connectivity with Dense Graph Limit Theory — Peter Diao, SAMSI
3:20 PM	A Variance Components Model for Statistical Inference on Functional Connectivity Networks — Mark Fiecas, University of Minnesota
3:45 PM	Floor Discussion

221 * !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-319
Advanced Statistical Methods for Microbiome Data Analysis — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Hyunwook Koh, NYU School of Medicine
Chair(s): Huilin Li, New York University
2:05 PM	Metabolite Prediction in the Human Microbiome — Himel Mallick, Harvard University ; Eric A. Franzosa, Harvard University ; Lauren J. Mclver, Harvard University ; Soumya Banerjee, University of Oxford ; Alexandra Sirota-Madi, Evelo Biosciences ; Aleksandar D. Kostic, Harvard University ; Clary B. Clish, Broad Institute ; Hera Vlamakis, Broad Institute ; Ramnik Xavier, Massachusetts General Hospital ; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
2:25 PM	A Robust and Powerful Microbiome-Based Association Test for Survival Traits — Hyunwook Koh, NYU School of Medicine ; Huilin Li, New York University
2:45 PM	A Bayesian Method for Detecting Pairwise Associations in Compositional Data — Emma Schwager, Harvard School of Public Health ; Steffen Ventz, University of Rhode Island ; Curtis Huttenhower, Harvard T.H. Chan School of Public Health
3:05 PM	Compositional Mediation Model for Microbiome Study — Michael Sohn ; Hongzhe Li, University of Pennsylvania
3:25 PM	Microbiome Data Classification Under Sampling Zeros — Zachary Kurtz ; Christian Müller, Flat Iron Institute, Simons Foundation ; Richard Bonneau, Flat Iron Institute, Simons Foundation
3:45 PM	Floor Discussion

229	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-320
Random Effect/Mixed Models — Contributed Papers
Biometrics Section
Chair(s): Hossein Soleimani, Johns Hopkins University
2:05 PM	Bayesian Analysis of Hierarchical Mixed Effect Hurdle Model for Time and Spatially Correlated Count Data — Soutik Ghosal, University of Louisville ; Maiying Kong, University of Louisville ; Jeremy Gaskins, University of Louisville
2:20 PM	METHODOLOGICAL CHALLENGES in the ANALYSIS of LONGITUDINAL RNASEQ DATA — Roula Tsonaka, Leiden University MC
2:35 PM	Optimum Designs for Nonlinear Models in the Presence of Multiple Covariates — Mahbub AHM Latif, St. Luke's International University ; Barbara Bogacka, Queen Mary, University of London ; Steven G Gilmour, King's College London
2:50 PM	Alternative Methods to Estimate Pooled Effect Size and Its Uncertainty in Meta-Analysis — Alok Dwivedi, Texas Tech University Health Sciences Center El Paso ; Mona Pathak, All India Institute of Medical Sciences ; Sada Nand Dwivedi, All India Institute of Medical Sciences ; Rakesh Shukla, University of Cincinnati
3:05 PM	Adaptive Multigroup Confidence Intervals with Constant Coverage — Chaoyu Yu, University of Washington ; Peter Hoff, Duke University
3:20 PM	On the Reproducibility of Latent Variables — William Heavlin, Google, Inc.
3:35 PM	Marginally Interpretable Generalized Linear Mixed Models — Jeffrey J Gory, The Ohio State University ; Peter F Craigmile, The Ohio State University ; Steven MacEachern, The Ohio State University

230	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-309
Longitudinal Data Analysis — Contributed Papers
Biometrics Section
Chair(s): Diane Richardson
2:05 PM	Clustered Binomial Data Analysis by Modified Generalized Estimating Equations — Xuemao Zhang, East Stroudsburg University
2:20 PM	Bayesian Dynamic Tensor Factor Models — Seyed Yaser Samadi, Southern Illinois University, Carbondale ; David Dunson, Duke University
2:35 PM	A Factor Analysis Approach for Modeling the Structure of Time-Series Covariance Matrices — Teal Guidici ; George Michailidis, University of Florida
2:50 PM	Flexible Models for Multivariate Longitudinal Data Using Copula — Zhentao Tong, North Carolina State University ; Sujit K Ghosh, North Carolina State University
3:05 PM	Initial Severity-Dependent Longitudinal Model in Application for Depression Studies — Seonjin Kim, Miami University ; Hyunkeun Cho ; Xianyang Zhang, Texas A&M University
3:20 PM	A Semiparametric Two-Part Model for Longitudinal Semi-Continuous Data — Lixuan Yin ; Guoqing Diao, George Mason University ; Aiyi Liu, National Institutes of Health/NICHD
3:35 PM	Flexible Semiparametric Regression of State Occupational Probabilities in a Multistate Model with Right-Censored Data — Chathura Siriwardhana, University of Hawaii ; Karunarathna Kulasekera, University of louisville ; Somnath Datta, University of Florida

242	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-Halls A&B
Contributed Poster Presentations: Biometrics — Contributed Poster Presentations
Biometrics Section
Chair(s): Jessi Cisewski, Yale University
1:	Efficient Algorithm for Multiple Imputation of Missing Health Outcomes — Chris Liu, University of Michigan-School of Nursing
2:	SYSTEMATIC REVIEW of MISSING DATA HANDLING in NON-INFERIORITY TRIALS — Brooke Rabe, University of Arizona ; Mallorie Fiero, U.S. Food and Drug Administration ; Melanie Bell, University of Arizona
3:	The Evaluation of Integrals of the Form [f(s,t)Bivariate Normal(s,t)]. Application to Correlated Bivariate Logistic-Gaussian Models — Edmund Ameyaw, Howard University* ; Paul Bezandry, Howard University ; Victor Apprey, Howard University ; John Kwagyan, Howard University College of Medicine, General Clinical Research Center
4:	Induced Tumor Growth in Rats: Modeling and Estimation — Charles Smith, North Carolina State Univ. ; Henry Tuckwell, Monash University
5:	Detecting Trend in Mean of a Continuous Response: Towards a Default Procedure for Toxicological Dose-Response Applications — David Farrar, US EPA
6:	Semiparametric Bayes' Proportional Odds Models for Arbitrarily Censored Failure Time Data — Lu Wang, University of South Carolina ; Lianming Wang, University of South Carolina
8:	Bayesian Mixed Effect Location Scale Model for Ecological Momentary Assessment Data — Xiaolei Lin, University of Chicago ; Donald Hedeker, University of Chicago
9:	Joint Modeling of Longitudinal Trajectories and Censoring Mechanism Using Shared Latent Random Variables — Miran Jaffa, American University of Beirut ; Ayad A Jaffa, American University of Beirut
11:	Sequential Clinical Trial Design for Basket Phase II — Shilan Li ; Hongbin Fang, Georgetown University ; Ming T Tan, Georgetown University
12:	Sub-Group Analysis with Nonparametric Unimodal Symmetric Error Distribution — Yizhao Zhou ; Ao Yuan, Georgetown University ; Ming T Tan, Georgetown University
13:	Analysis of Batched Latent Data Using Gaussian Model: With Application to the Social Benefits Claim Program — Xueying Wang ; Kepher H Makambi, Georgetown University ; Ao Yuan, Georgetown University
15:	RNA-seq Differential Expression Analysis for Time-course Repeated-measures Data — Yet Nguyen, Iowa State University ; Dan Nettleton, Iowa State University
16:	Multivariate logistic regression analysis for multiple-infection group testing data — Juexin Lin, University of South Carolina ; Dewei Wang, University of South Carolina

251	Mon, 7/31/2017, 2:00 PM - 2:45 PM	CC-Halls A&B
SPEED: Biometrics — Contributed Poster Presentations
Biometrics Section
Chair(s): Jessi Cisewski, Yale University
19:	Relative Efficiency of Unequal Versus Equal Cluster Sizes in Cluster Randomized Trials Using Generalized Estimating Equation Models — Esther Lu, Washington University School of Medicine
20:	Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data — I-Chen Chen, University of Kentucky ; Philip M. Westgate, University of Kentucky
21:	Kernel-Based Bayesian Model for Genomic Selection — Xiaowei Hu, Oklahoma State University ; charles chen, oklahoma state university ; lan zhu, oklahoma state university
22:	Smoothing Splines Approach for Longitudinal Analysis of Functional Outcomes — Kush Kapur, Boston Children's Hospital, Harvard Medical School ; Rajesh Selukar, SAS Institute Inc ; Basil Darras, Boston Children's Hospital, Harvard Medical School ; Seward Rutkove, Beth Israel Deaconess Medical Center, Harvard Medical School
23:	Model Comparison for Hip Fracture Patients Hospital Readmission Prediction — Qingqing Dai, Oklahoma State University ; Zhuqi Miao, Oklahoma State University ; lan zhu, oklahoma state university ; Scott Shepherd, Oklahoma State University ; William Paiva, Oklahoma State University
24:	Combining Biomarkers for Risk Prediction Using Approximated Rank Correlation Statistic with Censored Survival Data — Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine
25:	High-Dimensional Mediation Analysis of the Effect of Varenicline on Alcohol Consumption in Mice — John J. Dziak, Penn State University ; Arielle Deutsch, Penn State University ; Runze Li, The Pennsylvania State University ; Helen M. Kamens, Penn State University
26:	Informative Group Testing for Multiplex Assays — Christopher Bilder, University of Nebraska-Lincoln ; Joshua Tebbs, University of South Carolina ; Christopher McMahan, Clemson University
27:	Impact of Covariate Measurement Error on Failure Time Analysis in the Presence of Competing Risks — Carrie Caswell, University of Pennsylvania ; Sharon X. Xie, University of Pennsylvania
28:	Comparison of Treatment Regime Estimation Methods Incorporating Variable Selection: Lessons from a Large Simulation Study — Adam Ciarleglio, Columbia ; Eva Petkova, New York University School of Medicine ; Thaddeus Tarpey, Wright State University ; Zhe Su, New York University School of Medicine ; R. Todd Ogden, Department of Biostatistics, Columbia University
29:	A Semiparametric Latent Trait Model for Multiple Mixed Continuous, Binary and Ordinal Outcomes — Sophie Yu-Pu Chen, University of Michigan ; Alex Tsodikov, University of Michigan
30:	Consistent Estimator for Logistic Random Effect Model — Yizheng Wei ; Yanyuan Ma, Penn State University ; Tanya P Garcia, Department of Epidemiology and Biostatistics Texas A&M Health Science Center ; Samiran Sinha, Department of Statistics, Texas A&M University
31:	Increasing Precision and Removing Conditional Bias by Appropriate Adjustment for Baseline Variables in Randomized Trials — Bingkai Wang, Johns Hopkins Bloomberg SPH ; Michael Rosenblum, Johns Hopkins University
33:	Weighted Bayesian Random-Effects Meta-Analysis Models — Uma Siangphoe, U.S. Food and Drug Administration
34:	Time-to-event analysis when the event of interest is defined on a finite time interval and is subject to a competing risk — Catherine Lee ; Sebastien Haneuse, TE-Harvard T.H. Chan School of Public Health
35:	A Procedure to Control for Population Stratification in Genome-Wide Association Studies with Rare Variants — Zhengyang Zhou, Southern Methodist University ; Chao Xing, University of Texas Southwestern Medical Center ; Hung-Chih Ku, DePaul University
36:	Evaluating Accuracy of Diagnostic Tests with Empirical Methods — Di Lu, Georgetown University ; Ao Yuan, Georgetown University
37:	Association Test for Ordinal Categorical Outcome — Miao Zhang, University of Arizona ; Jin Zhou, University of Arizona ; Joseph Watkins, University of Arizona
The Speed portion will take place during Session 214527

214786	Mon, 7/31/2017, 5:30 PM - 7:00 PM	H-Tubman B
Biometrics Section Social Mixer and Business Meeting — Other Cmte/Business
Biometrics Section
Chair(s): Amy Herring, University of North Carolina

264 *	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-316
Statistical Methods for Novel Imaging Technology — Invited Papers
Section on Statistics in Imaging , Biometrics Section , Statistical and Applied Mathematical Sciences Institute
Organizer(s): Elizabeth M. Sweeney, Flatiron Health
Chair(s): Amanda Mejia, Indiana University
8:35 AM	Bayesian Semiparametric Modeling of Near Infra-Red Spectroscopy Data — Timothy D Johnson, University of Michigan
9:00 AM	Development of a Multi-Parametric MR Classifier for Prostate Cancer — Joseph Koopmeiners, University of Minnesota ; Jin Jin, University of Minnesota ; Lin Zhang, University of Minnesota ; Ethan Leng, University of Minnesta ; Greg Metzger, University of Minnesta
9:25 AM	Structural Image Analysis for Improved Prediction of Patient Outcomes — Ani Eloyan, Brown University
9:50 AM	Accounting for Dependent Observations in Multi-Session fMRI Studies of Functional Brain Networks — Manjari Narayan, Stanford University
10:15 AM	Floor Discussion

270 *	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-339
Intersection of Econometrics and Biometrics in Making Policy and Treatment Determinations — Invited Papers
Business and Economic Statistics Section , Biometrics Section , ENAR
Organizer(s): Eva Petkova, New York University School of Medicine
Chair(s): Thaddeus Tarpey, Wright State University
8:35 AM	On Estimating Regression-Based Causal Effects Using Sufficient Dimension Reduction — Wei Luo, Baruch College ; Yeying Zhu, University of Waterloo ; Debashis Ghosh, Colorado School of Public Health
9:00 AM	Generated Effect Modifiers in Linear and Nonparametric Models — Eva Petkova, New York University School of Medicine ; Thaddeus Tarpey, Wright State University ; Hyung Park, Columbia University ; Zhe Su, New York University School of Medicine ; R. Todd Ogden, Department of Biostatistics, Columbia University
9:25 AM	Learning heterogeneity in causal inference using sufficient dimension reduction — Wenbo Wu, University of Oregon ; Wei Luo, Baruch College ; Yeying Zhu, University of Waterloo
9:50 AM	Sparse semi-parametric generated effect modifiers — Hyung Park, Columbia University ; Eva Petkova, New York University School of Medicine ; Thaddeus Tarpey, Wright State University ; R. Todd Ogden, Department of Biostatistics, Columbia University
10:15 AM	Floor Discussion

273 * !	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-315
Challenges and Strategies in Analysis of Complex Data — Invited Papers
SSC , Biometrics Section , General Methodology
Organizer(s): Joan X. Hu, Simon Fraser University
Chair(s): Dongdong Li, Simon Fraser University
8:35 AM	Adjusting for Misclassification in Observational Studies: Getting from Cleaner to Messier Scenarios — Tanja Högg, University of British Columbia ; Paul Gustafson, University of British Columbia ; Yinshan Zhao, BC Center for Improved Cardiovasular Health ; John Petkau, University of British Columbia ; Helen Tremlett, University of British Columbia
9:00 AM	Estimating the Holdover Distribution for Lightning Caused Wildfires in Ontario — John Braun, University of British Columbia - Okanagan
9:25 AM	Can We Use Machine Learning for Confounding Control? Should We? — Robert Platt, McGill University
9:50 AM	Analysis of Multi-State Models with Misclassied States — Grace Y Yi, University of Waterloo ; Wenqing He, University of Western Ontario
10:15 AM	Floor Discussion

277 *	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-328
Advances in Joint Modeling and Predicting Heterogeneous Outcomes — Invited Papers
ENAR , Biometrics Section , Biopharmaceutical Section
Organizer(s): Abdus Sattar, Case Western Reserve University
Chair(s): Jeffrey Albert, Case Western Reserve University
8:35 AM	Joint Nonparametric Correction Estimator for Excess Relative Risk Regression in Survival Analysis with Exposure Measurement Error — Ching-Yun Wang, Fred Hutchinson Cancer Research Center ; Harry Cullings, Radiation Effects Research Foundation ; Xiao Song, University of Georgia ; Kenneth J. Kopecky, Fred Hutchinson Cancer Research Center
9:00 AM	Bayesian Clinical Trial Design for Joint Models of Longitudinal and Survival Data — Joseph G Ibrahim, UNC ; Matthew Psioda, UNC Chapel Hill
9:25 AM	Joint Modeling of Longitudinal and Survival Data with a Covariate Subject to a Limit of Detection — Abdus Sattar, Case Western Reserve University ; Sanjoy K Sinha, Carleton University
9:50 AM	Discussant: Dimitris Rizopoulos, Erasmus University Medical Center
10:15 AM	Floor Discussion

294	Tue, 8/1/2017, 8:30 AM - 10:20 AM	CC-330
High-Dimensional Regression — Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Chair(s): Roberta De Vito, Princeton
8:35 AM	High-Dimensional Discriminant Analysis Using Singular Wishart Distribution — Samprit Banerjee, Weill Medicine College of Cornell University ; Stefano Monni, American University of Beirut, Lebanon
8:50 AM	High-Dimensional Mediation Analysis with Latent Factors — Andriy Derkach, NIH-National Cancer Institute ; Ting-Huei Chen, Université Laval ; Joshua Sampson, National Cancer Institute ; Ruth Pfeiffer , National Cancer Institute, NIH, HHS
9:05 AM	A focused mean squared error approach for selecting tuning parameters in penalized regression — Kristoffer Hellton, University of Oslo ; Nils Lid Hjort, University of Oslo
9:20 AM	An Application of High-Dimensional Multiclass Classification Methods to Listeria Monocytogenes Whole Genome Multilocus Sequence Typing Data — Sunkyung Kim, Centers for Disease Control and Prevention ; Gordana Derado, Centers for Disease Control and Prevention ; Anna J Blackstock, Centers for Disease Control and Prevention ; Conrad Amanda, Centers for Disease Control and Prevention ; Heather Carleton, Centers for Disease Control and Prevention
9:35 AM	Honest inference for marginal treatment effects using penalised bias-reduced double-robust estimation — Vahe Avagyan, Universiteit Gent-Vakgroep Toegepaste W & I ; Stijn Vansteelandt, Ghent University
9:50 AM	Dynamic Predictions in Bayesian Functional Joint Models for Longitudinal and Time-To-Event Data: An Application to Alzheimer's Disease — Kan Li, The University of Texas Health Science Center at Houston ; Sheng Luo, The University of Texas Health Science Center at Houston
10:05 AM	Multinomial Goodness-of-Fit Statistics When the Number of Variables Is Large — Maduranga Dassanayake, Arizona State University ; Mark Reiser, Arizona State University

CE_24C	Tue, 8/1/2017, 8:30 AM - 5:00 PM	H-Holiday Ballroom 4
Analysis of Categorical Data (ADDED FEE) — Professional Development Continuing Education Course
ASA , Biometrics Section
Instructor(s): Christopher Bilder, University of Nebraska-Lincoln, Thomas Loughin, Simon Fraser University
8:30 AM	Analysis of Categorical Data (ADDED FEE) — Christopher Bilder, University of Nebraska-Lincoln ; Thomas Loughin, Simon Fraser University

312 * !	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-338
SAMSI-CCNS: Innovations and Challenges in Computational Neuroscience — Invited Papers
International Indian Statistical Association , Biometrics Section , ENAR , Section on Statistics in Imaging , Section on Statistical Learning and Data Science
Organizer(s): Sujit K. Ghosh, SAMSI
Chair(s): Sujit K Ghosh, North Carolina State University
10:35 AM	Population-Based Brain Structural Connectivity Analysis — Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Anuj Srivastava, Florida State University ; David B. Dunson, Duke University ; Maxime Descoteaux, Université de Sherbrooke ; Zhengwu Zhang, Duke University
11:00 AM	Ultra-High-Dimensional Genome-Wide Heritability Analysis with Neuroimaging Phenotypes — Yize Zhao, Weill Cornell Medicine, Cornell University
11:25 AM	A New Unified ICA Framework for Decomposing Multimodal Neuroimaging Data — Ying Guo, Emory University ; Subhadip Pal, Emory University ; Jian Kang, University of Michigan
11:50 AM	A LAG FUNCTIONAL LINEAR MODEL for PREDICTION of MAGNETIZATION TRANSFER RATIO in MULTIPLE SCLEROSIS LESIONS — Gina-Maria Pomann, Duke University ; Ana-Maria Staicu, North Carolina State University, Department of Statistics ; Edgar Lobaton, North Carolina State University ; Amanda Mejia, Indiana University ; Blake Dewey, NINDS ; Daniel Reich, NINDS ; Elizabeth M. Sweeney, Flatiron Health ; Russell Shinohara, University of Pennsylvania
12:15 PM	Floor Discussion

315 * !	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-304
Advancements in Clinical Trial Design for Small Samples in the Age of Precision Medicine — Invited Papers
Biometrics Section , ENAR , Society for Clinical Trials
Organizer(s): Kelley M Kidwell, University of Michigan
Chair(s): Kelley M Kidwell, University of Michigan
10:35 AM	Dose-finding designs incorporating toxicity data from multiple treatment cycles, and continuous efficacy outcome — Sumithra Mandrekar, Mayo Clinic
11:00 AM	The Use of Small N Sequential Multiple Assignment Randomized Trials (SnSMART) in Rare Disease Research — Roy N Tamura, University of South Florida ; Kelley M Kidwell, University of Michigan ; Boxian Wei, University of Michigan ; Thomas Braun, University of Michigan
11:25 AM	Statistical Considerations for an Adaptive Design for a Serious Rare Disease — Gary R Cutter, UAB School of Public Heatlh Department of Biostatistics
11:50 AM	Discussant: Jeremy M. G. Taylor, University of Michigan
12:15 PM	Floor Discussion

317	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-310
Integration Approaches and Methods for Deciphering Genotype-Phenotype Mapping Toward Precision Medicine — Invited Papers
Section on Statistics in Genomics and Genetics , Biometrics Section , International Chinese Statistical Association
Organizer(s): Chuanhua Julia Xing, XPrecision
Chair(s): Xuefeng Wang, Stony Brook
10:35 AM	4. Bayesian Integrative Model for Deciphering High-Dimensional Genotype-Phenotype Map — Chuanhua Julia Xing, XPrecision ; Andrew Raim, U.S. Census Bureau
10:55 AM	Dissecting Genetic Architecture of Complex Diseases Through Integrated Genomic Analysis — Hongyu Zhao, Yale University
11:15 AM	Confidence Intervals for Heritability via Haseman-Elston Regression — Tamar Sofer, University of Washington, Department of Biostatistics
11:35 AM	Polygenic Risk Modeling Techniques to Incorporate LD, Functional Annotations of SNPs And/Or Multiple Phenotypic Information Using Genome-Wide Association Study Summary-Level Data — Ting-Huei Chen, Université Laval ; Nilanjan Chatterjee, Johns Hopkins University ; Jianxin Shi, National Cancer Institute
11:55 AM	Robust Genetic Prediction of Complex Traits with the Latent Dirichlet Process Regression Models — Xiang Zhou, University of Michigan ; Ping Zeng, University of Michigan
12:15 PM	Floor Discussion

324 * !	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-311
Applications of Functional Data Analysis to Medical Studies — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
Chair(s): Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
10:35 AM	New Insights into Activity Patterns in Children, Found Using Functional Data Analyzes — Jeff Goldsmith, Columbia University ; Xinyue Liu, Analysis Group ; Judith Jacobson, Columbia University ; Andrew Rundle, Columbia University
10:55 AM	Nonparametric Variable Screening and Preselection for Functional Data with Application to Time Course Gene Expression Profiles — Jan Gertheiss, Clausthal University of Technology
11:15 AM	High-Dimensional Function-On-Scalar Regression with Application to Genetic Association Studies — Matthew Reimherr, Penn State ; Alice Parodi, Politecnico di Milano
11:35 AM	Cerebrospinal Fluid Biomarker Signature in Alzheimer's Disease Genetic Association Landscape by Functional Linear Models. — Olga Vsevolozhskaya ; Ilai Keren, Washington Department of Fish and Wildlife ; David Fardo, University of Kentucky ; Dmitri Zaykin, NIH/NIEHS
11:55 AM	Brain Dynamic Functional Connectivity: Modularity Assessment in a Task-Based Gustatory Study — Maria Kudela ; Mario Dzemidzic, Department of Neurology Indiana University School of Medicine ; Joaquin Goni, Purdue University ; Brandon G Oberlin, Department of Neurology Indiana University School of Medicine ; David Kareken, Department of Neurology Indiana University School of Medicine ; Jaroslaw Harezlak, Indiana University School of Public Health
12:15 PM	Floor Discussion

331 * !	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-327
Quantitative Safety Monitoring: Regulatory Landscape, Statistical Methodology, and Cross-Disciplinary Scientific Engagement — Topic Contributed Panel
Biopharmaceutical Section , Society for Clinical Trials , Biometrics Section
Organizer(s): Greg Ball, Merck
Chair(s): Judy X. Li, Regeneron Pharmaceuticals
10:35 AM	Quantitative Safety Monitoring: Regulatory Landscape, Statistical Methodology and Cross-Disciplinary Scientific Engagement
Panelists:	Greg Ball, Merck Frank Rockhold, Retired Janet Wittes, Statistics Collaborative, Inc. (SCI) Ana Szarfman, CDER, FDA William W Wang, Merck & Co Inc
12:10 PM	Floor Discussion

336	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-316
Next- Generation Sequencing — Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Chair(s): Katerina Kechris, University of Colorado Anschutz Medical Campus
10:35 AM	A Permutation-Based Non-Parametric Analysis of CRISPR Screen Data — Gaoxiang Jia, Southern Methodist University & UT Southwestern Medical Center ; Xinlei Wang, Southern Methodist University ; Guanghua Xiao, UT Southwestern Medical Center
10:50 AM	BayesMP: a Bayesian Approach for Transcriptomic Meta-Analysis and Gene Module Detection — Chi Song ; Zhiguang Huo, University of Pittsburgh ; George Tseng, University of Pittsburgh
11:05 AM	Detecting Copy Number Variations via a Bayesian Approach Adapting to Both Whole Genome and Targeted Exome Sequencing — Yu-Chung Wei, Department of Statistics, Feng Chia University ; Guan-Hua Huang, Institute of Statistics, National Chiao Tung University
11:20 AM	Gene Expression Variability and the Analysis of Large-Scale RNA-Seq Studies with the MDSeq — Z. John Daye, None ; Di Ran, University of Arizona
11:35 AM	Assessment of RNA-Seq Differential Expression Methods Based on TCGA Data — Guy Brock, Center for Biostatistics, The Ohio State University College of Medicine ; Meredith McCormack-Mager, Center for Biostatistics, The Ohio State University College of Medicine ; Yu Lianbo, Center for Biostatistics, The Ohio State University College of Medicine ; Soledad Fernandez , Center for Biostatistics, The Ohio State University College of Medicine
11:50 AM	Bayesian Analysis for Multi-Subject Time Course RNA-Seq Experiments — Allison Tegge, Virginia Tech ; Shiqi Cui, Google ; Marco Ferreira, Virginia Tech
12:05 PM	Cluster-Enabled Inference for Subgroup Comparison of Copy Number Profiles Using Bayesian Change-Point Models for Profile Characterization — Miranda Lynch, Los Alamos National Laboratory

377 !	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-345
Nonparametric Saturated Methods to Handle Nonignorable Missing Data — Invited Papers
ENAR , Biometrics Section , Survey Research Methods Section , Statistics Without Borders
Organizer(s): Mauricio Sadinle, Duke University
Chair(s): Jerry Reiter, Department of Statistical Science, Duke University
2:05 PM	Combining Identifying Assumptions to Handle Nonignorable Missing Data — Mauricio Sadinle, Duke University ; Jerry Reiter, Department of Statistical Science, Duke University
2:25 PM	Parametric, Semiparametric and Non-Parametric Methods for Sensitivity Analysis with Incomplete Data — Geert Molenberghs , Universiteit Hasselt
2:45 PM	Sensitivity Analysis for Longitudinal Clinical Trials with Nonmonotone Missingness — Antonio R Linero, Florida State University
3:05 PM	Inverse Probability Weighting Estimators for Functions of Data Missing Non-Monotonically and Not at Random — Ilya Shpitser, Johns Hopkins University
3:25 PM	Discussant: James Robins, Harvard University
3:45 PM	Floor Discussion

379 * !	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-340
Understanding HIV/AIDS Epidemics with Newly Available Data Sources — Invited Papers
Section on Statistics in Epidemiology , American Public Health Association , Biometrics Section , Statistics Without Borders
Organizer(s): Le Bao, Penn State University
Chair(s): Katherine McLaughlin, Oregon State University
2:05 PM	Estimating Continuous Long-Term Daily Health Behavior Using Missing by Design Methods with Application for Medication Adherence of People Living with HIV — Ofer Harel, University of Connecticut
2:30 PM	Statistical Models for Estimating HIV/AIDS Epidemics with Multiple Types of Prevalence Data — Le Bao, Penn State University
2:55 PM	Modeling Power to Detect Changes in HIV Incidence Through Routine ANC Attendance Data — Britta J. Jewell, UC Berkeley ; Jennifer Smith, Imperial College London ; Timothy B. Hallett, Imperial College London ; Ann Duerr, Fred Hutchinson Cancer Research Center
3:20 PM	Inference from Respondent-Driven Sampling Data: Progress and Challenges — Krista Gile, University of Massachusetts ; Miles Ott, Smith College ; Isabelle Beaudry, PUC Santiago, Chile
3:45 PM	Floor Discussion

383 * !	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-317
Longitudinal/Repeated Measures and Terminal Events — Invited Papers
Lifetime Data Analysis Interest Group , ENAR , Biometrics Section
Organizer(s): Bin Nan, University of Michigan
Chair(s): Ying Ding, University of Pittsburgh
2:05 PM	Conditional Models for Longitudinal Data with a Temrinal Event — Bin Nan, University of Michigan ; Shengchun Kong, Gilead Sciences, Inc ; John Kalbfleisch, University of Michigan
2:30 PM	Semiparametric Modeling and Estimation of the Terminal Behavior of Recurrent Marker Processes Before Failure Events — Kwun Chuen Gary Chan, University of Washington ; Mei-Cheng Wang, Johns Hopkins University
2:55 PM	Semiparametric Regression for Interval-Censored Data with Informative Dropout — Donglin Zeng, University of North Carolina ; Fei Gao, University of North Carolina ; Danyu Lin, University of North Carolina
3:20 PM	Transformation Models for Doubly-Censored and Clustered Survival Data — Jane-Ling Wang, University of California, Davis ; Cong Xu, Stanford University ; Yuru Su, Fred Hutchinson Cancer Research Center
3:45 PM	Floor Discussion

386 * !	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-341
Estimands: What Is Essential Is Invisible to the Eye — Invited Papers
Biopharmaceutical Section , ENAR , Biometrics Section
Organizer(s): Mouna Akacha , Novartis Pharma AG
Chair(s): Joan Buenconsejo, AstraZeneca
2:05 PM	A Dialogue on Estimands — Stephen J Ruberg, Eli Lilly and Co
2:25 PM	Defining estimands in pain studies — Paul Gallo, Novartis
2:45 PM	Application of the Tripartite Estimands in a Diabetes Clinical Trial — Junxiang Luo, Eli Lilly and Company ; Yongming Qu, Eli Lilly and Company ; Stephen J Ruberg, Eli Lilly and Co
3:05 PM	Causal Estimands in Randomized Trials — Miguel Hernan, Harvard TH Chan School of Public Health
3:25 PM	Discussant: Gregory Levin, FDA
3:45 PM	Floor Discussion

395 *	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-342
Recent Advances in Zero-Inflated Regression Models — Topic Contributed Papers
Biometrics Section
Organizer(s): Himel Mallick, Harvard University
Chair(s): Shrabanti Chowdhury, Wayne State University
2:05 PM	Introducing a Flexible Zero-Inflated Count Model to Address Data Dispersion — Kimberly F Sellers, Georgetown University ; Andrew Raim, U.S. Census Bureau
2:25 PM	T-Geometric Regression Models with Applications to Zero-Inflated Count Data — Carl Lee, Central Michigan Univ ; Felix Famoye, Central Michigan University ; Alfred Akinsete, Marshall University
2:45 PM	A Multicollinearity-Adjusted Adaptive LASSO for Zero-Infated Count Regression — Prithish Banerjee, Wayne State University School of Medicine ; Broti Garai, West Virginia University ; Shrabanti Chowdhury, Wayne State University ; Himel Mallick, Harvard University
3:05 PM	A Flexible Marginalized Two-Part Model for Semicontinuous Data — Valerie Smith, Duke University and Department of Veterans Affairs ; John Preisser, University of North Carolina-Chapel Hill ; Matthew Maciejewski, Duke University and Department of Veterans Affairs
3:25 PM	Bayesian Multiple-Inflation Poisson Regression for Infection Data — Duchwan Ryu, Northern Illinois University ; Devrim Bilgili, University of North Florida ; Önder Ergönül, Koc ? University, Istanbul, Turkey ; Nader Ebrahimi, Northern Illinois University
3:45 PM	Floor Discussion

400	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-347
Survival Analysis and Clinical Trials — Contributed Papers
Biometrics Section
Chair(s): Bess Ellinger
2:05 PM	Readmission Time Analysis for Psychiatry Patients Based on a Chi-Squared Goodness of Fit Test for Recurrent Events — Qing Li, The University of Iowa ; Gideon Zamba, University of Iowa
2:20 PM	A Versatile Test Based on Restricted Mean Survival Time for Time-To-Event Outcomes — Miki Horiguchi, Kitasato University ; Hajime Uno, Dana Farber Cancer Institute
2:35 PM	Joint Models of Longitudinal Ordinal Outcomes with Competing Risks Survival Analysis — Xiao Fang, University of Texas Medical Branch ; Kristofer Jennings, University of Texas Medical Branch
2:50 PM	Why Humans Are So Dominant - Some Brain Studies — Marepalli Rao, University of Cincinnati
3:20 PM	Dealing with Competing Risks in Clinical Trials: What Are the Proper Questions to Ask and How Best to Answer Them? — James Troendle, National Institutes of Health ; Eric Leifer, NIH ; Lauren Kunz, NIH
3:35 PM	Floor Discussion

445 * !	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-309
Quantification, Association Testing, and Integration of Micriobiome — Invited Papers
WNAR , ENAR , Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Yijuan Hu, Emory University
Chair(s): Brian Williamson, University of Washington
8:35 AM	Better Measurement of the Microbiome by Modeling and Removing Amplified Sequencing Errors — Benjamin John Callahan, North Carolina State University
9:00 AM	Joint Modeling and Analysis of Microbiome with Other Omics Data — Michael C. Wu, Fred Hutchinson Cancer Research Center
9:25 AM	Tackling the Excessive Zeros and Phylogenetic Constraint for Microbiome Data — Jun Chen, Mayo Clinic
9:50 AM	Human Microbiome-Based Association Test and a Microbial Taxa Discovery Framework — Huilin Li, New York University
10:15 AM	Floor Discussion

455 *	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-311
Oncoimmunology Gene Networks: Parallel Data Studies of Multi-Tissue Network Analysis — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Kevin H Eng, Roswell Park Cancer Institute
Chair(s): John Dawson, Texas Tech University
8:35 AM	Regulation of Cancer Testis Antigen Rich Whole Transcriptome Profiling of Ovarian Tumors — Kevin H Eng, Roswell Park Cancer Institute ; Wenjun He, Roswell Park Cancer Institute ; Kayla Morrell, Roswell Park Cancer Institute ; Anthony Milliotto, Roswell Park Cancer Institute ; Kunle Odunsi, Roswell Park Cancer Institute
8:55 AM	IDENTIFICATION of DYSREGULATED METABOLIC PATHWAYS and the MASTER REGULATORS of THESE PATHWAYS — Spencer Rosario, Roswell Park Cancer Institute
9:15 AM	Attribute-Based Module Detection for the Elucidation of Tissue-Specific Pathways for Oncoimmunology — Han Yu, State University of New York at Buffalo ; Rachael Hageman Blair, State University of New York at Buffalo
9:35 AM	It's All About the Residuals: Estimating Gene Networks by Leveraging Residual Structure in Multi-Tissue Transcriptomic Data — Matthew McCall, University of Rochester Medical Center
9:55 AM	Discussant: Rachael Hageman Blair, State University of New York at Buffalo
10:15 AM	Floor Discussion

464	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-312
Missing Data — Contributed Papers
Biometrics Section
Chair(s): Jayawant Mandrekar, Mayo Clinic
8:50 AM	Conditional Likelihood Ratio Test for Multivariate One-Sided Hypotheses with Missing Data — Madhurima Majumder, University of Rochester ; Michael McDermott, University of Rochester
9:05 AM	Estimand Choice and Handling of Treatment Switch in Randomized Clinical Trials — Ulker Aydemir, INC Research
9:20 AM	Methods for Handling Missing Data Due to Death and Dropout in Mortal Cohorts — Lan Wen, University of Cambridge ; Shaun Seaman, MRC Biostatistics Unit, University of Cambridge
9:35 AM	Bayesian Regression Models for Group Testing in the Presence of Dilution Effects — Md S. Warasi, Radford University ; Timothy Hanson, University of South Carolina ; Joshua Tebbs, University of South Carolina
9:50 AM	Partial Observability with Exchangeable Binary Outcomes — Aniko Szabo, Medical College of Wisconsin ; Nicholas DeVogel, Medical College of Wisonsin
10:05 AM	How Many Validation Samples Are Needed for Phenotyping Error Correction in EHR-Based Association Studies? — Jing Huang, University of Pennsylvania ; Rui Duan, University of Pennsylvania ; Rebecca Hubbard, University of Pennsylvania ; Hua Xu, The University of Texas Health Science Center at Houston ; Yong Chen, University of Pennsylvania

465 *	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-313
Biometrics and High-Dimensional Data — Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Statistical Learning and Data Science
Chair(s): Huaqing Zhao
8:35 AM	Data-Adaptive Statistics for Multiple Hypothesis Testing in High-Dimensional Settings — Weixin Cai, University of California, Berkeley ; Alan Hubbard, University of California, Berkeley
9:05 AM	Grouping Methods for Estimating the Prevalences of Rare Traits from Complex Survey Data that Preserve Confidentiality of Respondents — Noorie Hyun, National Cancer Institute ; Joseph Gastwirth, the George Washington University ; Barry I. Graubard, National Cancer Institute
9:20 AM	Test for a Change Point in the Linear Combination of Risk Predictors — Ju Hee Cho, Fred Hutchinson Cancer Research Center ; Ying Huang, Fred Hutchinson Cancer Research Center
9:35 AM	Score Test for Case-Cohort Design Applied to High-Throughput Gene Expression Analysis — Huining Kang, University of New Mexico ; John Carl Pesko, University of New Mexico
9:50 AM	Identification of Conditionally Essential Genes in Transposon Sequencing Studies — Lili Zhao, University of Michigan
10:05 AM	Empirical Null Estimation Using Zero Inflated Discrete Mixture Distributions and Its Application to Protein Domain Data — Iris Ivy Gauran ; Junyong Park, University of Maryland at Baltimore County ; DoHwan Park, University of Maryland, Baltimore County ; Maricel Kann, University of Maryland, Baltimore County ; Thomas Peterson, University of Maryland, Baltimore County ; John Zylstra, University of Maryland, Baltimore County ; John Spouge, NCBI,NLM,NIH ; Johan Lim, Seoul National University

466	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-314
Statistical Models for Complex Biomedial Data — Contributed Papers
Biometrics Section
Chair(s): Millennia Young, National Aeronautics and Space Administration
8:35 AM	Risk Factors Associated with Hospital Readmission in Pediatric Patients — Yunfei Wang, Children's National
8:50 AM	Multilevel Intrinsic Regression for Manifold Representations of Surfaces Derived from CT Images — Lucy Robinson, Drexel University ; Sriram Balasubramanian, Drexel University
9:05 AM	Subgroup Identification of Early Preterm Birth (EPTB): Informing a Future Prospective Enrichment Clinical Trial Design — Chuanwu Zhang, University of Kansas Medical Center
9:20 AM	Multi-Dimensional Classification with Semiparametric Mixture Model — Anqi Yin ; Ao Yuan, Georgetown University
9:35 AM	Optimally Identify High Value Subgroups of Patients via Baseline Covariates — Florence Yong, Pfizer Inc. ; Lu Tian, Stanford University
9:50 AM	Building Quantitative Structure?Activity Relationship Models Using Bayesian Additive Regression Trees — Dai Feng, Merck ; Matthew Pratola, The Ohio State University ; Robert McCulloch, Arizona State University ; Vladimir Svetnik, Merck & Co., Inc.
10:05 AM	Approximate Confidence Regions for Consensus Mean Vector in Heteroscedastic Multivariate One-Way Random Model — Jian Zhao, The EMMES Corporation

484 * !	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-316
Recent Statistical Advances in Biomarker Studies in the Era of Precision Medicine — Invited Papers
ENAR , Biometrics Section , WNAR , Section on Statistics in Genomics and Genetics
Organizer(s): Eunhee Kim, National Institute of Neurological Disorders and Stroke, NIH
Chair(s): Eunhee Kim, National Institute of Neurological Disorders and Stroke, NIH
10:35 AM	Mendelian randomization for survival outcomes using semiparametric transformation models — Yen-Tsung Huang, Academia Sinica
10:55 AM	New Machine Learning Tools for Discovering and Utilizing Biomarkers in Precision Medicine — Daniel Luckett, University of North Carolina at Chapel Hill ; Eric Laber, North Carolina State University ; Michael R Kosorok, University of North Carolina at Chapel Hill
11:15 AM	Estimation of ROC Curve with Multiple Types of Missing Gold Standard — Danping Liu, National Institutes of Health ; Xiao-Hua Zhou, University of Washington
11:35 AM	Comparison of Approaches for Incorporating New Information into Existing Risk Prediction Models — Ruth Pfeiffer , National Cancer Institute, NIH, HHS ; Sonja Grill, Technical University of Munich ; Donna Ankerst , Technical University of Munich ; Mitchell Gail , National Cancer Institute, NIH, HHS ; Nilanjan Chatterjee, Johns Hopkins University
11:55 AM	Evaluation of Subgroup-Specific Incremental Value of New Markers for Treatment Selection — Ying Huang, Fred Hutchinson Cancer Research Center
12:15 PM	Floor Discussion

501	Wed, 8/2/2017, 10:30 AM - 12:15 PM	CC-303
Biometrics Student Paper Awards 1 — Topic Contributed Papers
Biometrics Section
Organizer(s): Debashis Ghosh, Colorado School of Public Health
Chair(s): Debashis Ghosh, Colorado School of Public Health
10:35 AM	Lagged Kernel Machine Regression for Identifying Time Windows of Susceptibility to Exposures of Complex Metal Mixtures — Shelley Liu, Icahn School of Medicine at Mount Sinai ; Jennifer Bobb, Group Health Research Institute ; Kyu Ha Lee, The Forsyth Institute ; Chris Gennings, Icahn School of Medicine at Mount Sinai ; Birgit Claus Henn, Boston University School of Public Health ; David Bellinger, Harvard T.H. Chan School of Public Health ; Christine Austin, Icahn School of Medicine at Mount Sinai ; Lourdes Schnaas, National Institute of Perinatology, Mexico ; Martha Tellez-Rojo, National Institute of Public Health, Mexico ; Howard Hu, University of Toronto Dalla Lana School of Public Health ; Robert Wright, Icahn School of Medicine at Mount Sinai ; Manish Arora, Icahn School of Medicine at Mount Sinai ; Brent Coull, Harvard T.H. Chan School of Public Health
10:55 AM	Informing a Risk Prediction Model for Binary Outcomes with External Coefficient Information — Wenting Cheng, Department of Biostatistics, University of Michigan, Ann Arbor ; Jeremy M. G. Taylor, University of Michigan ; Bhramar Mukherjee, Department of Biostatistics, University of Michigan, Ann Arbor
11:15 AM	Optimal Sparse Linear Prediction for Block-Missing Multi-Modality Data Without Imputation — Guan Yu, State University of New York at Buffalo ; Quefeng Li, The University of North Carolina at Chapel Hill ; Dinggang Shen, The University of North Carolina at Chapel Hill ; Yufeng Liu, University of North Carolina
11:35 AM	Comparison of Joint Modeling and Landmarking for Dynamic Prediction Under an Illness-Death Model — Krithika Suresh, University of Michigan ; Jeremy M. G. Taylor, University of Michigan ; Alex Tsodikov, University of Michigan
11:55 AM	Bayesian Variable Selection Over Large Scale Networks via the Thresholded Graph Laplacian Gaussian Prior with Application to Genomics — Qingpo Cai, Emory University-Rollins School of Public Health ; Jian Kang, University of Michigan ; Tianwei Yu, Emory University
12:15 PM	Floor Discussion

504	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-317
Model/Variable Selection — Contributed Papers
Biometrics Section
Chair(s): Scott Bruce, Department of Statistical Science, Temple University
10:35 AM	Sparse Concordance-Assisted Learning for Optimal Treatment Decision — Shuhan Liang, North Carolina State University ; Wenbin Lu, North Carolina State University ; Rui Song, NC State University ; Lan Wang, University of Minnesota
10:50 AM	Model Selection in Latent Class Analysis — Zhaoyin Zhu, NYU ; Yongzhao Shao, New York University School of Medicine
11:05 AM	Discriminative Power and Variable Selection in Logistic Regression Models under Outcome Misspecification — Jia Bao, NYU Langone Medical Center ; Yongzhao Shao, New York University-School of Medicine
11:20 AM	Variable Selection for highly correlated predictors — Fei Xue, University of Illinois at Urbana-Champaign ; Annie Qu, University of Illinois at Urbana-Champaign
11:35 AM	A Score Test for Over-Dispersion in Marginalized Zero-Inflated Poisson Regression Models — Gul Inan, Middle East Technical University ; John Preisser, University of North Carolina-Chapel Hill ; Kalyan Das, University of Calcutta
11:50 AM	Comparing Cross Validation Methods for Penalized Cox Regression — Biyue Dai, University of Iowa ; Patrick Breheny, University of Iowa
12:05 PM	Empirical Bayes Methods for Penalized Regression: Estimation for Noisy Matrices/Tensors Without Replicates and Penalized Regression with Unknown Norm Penalty — Maryclare Griffin ; Peter Hoff, Duke University

549 * !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-309
Recent Development of Statistical Learning Methods for Complex Biomedical Data — Invited Papers
ENAR , Biometrics Section , Section on Statistical Learning and Data Science , Section on Statistics in Imaging
Organizer(s): Wenbin Lu, North Carolina State University
Chair(s): Wenbin Lu, North Carolina State University
2:05 PM	Maximum likelihood inference for a large precision matrix — Yunzhang Zhu, Ohio State University ; Xiaotong T Shen, University of Minnesota ; Wei Pan, University of Minnesota
2:30 PM	Statistical Modeling of Large-Scale Neural Ensembles — Shizhe Chen, Columbia University ; Ali Shojaie, University of Washington ; Eric Shea-Brown, University of Washington ; Daniela Witten, University of Washington
2:55 PM	Optimal Individualized Treatment Strategy with Imaging Covariates — Rui Song, NC State University
3:20 PM	Efficient Use of EHR for Comparative Effectiveness Research — Tianxi Cai, Harvard University
3:45 PM	Floor Discussion

551 * !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-313
New Innovations in Handling Incomplete Biomedical Data in the Era of Data Science — Invited Papers
International Indian Statistical Association , Biopharmaceutical Section , Biometrics Section
Organizer(s): Arkendu Sekhar Chatterjee, Associate Principal Scientist
Chair(s): Arkendu Sekhar Chatterjee, Associate Principal Scientist
2:05 PM	Interplay Between Estimands and Missing Data in Clinical Trials — David Ohlssen, Novartis
2:25 PM	Sequential BART for Imputation of Missing Covariates in the Presence of Auxiliary Covariates — Dandan Xu, The University of Texas at Austin ; Michael J Daniels, University of Texas at Austin
2:45 PM	Nonparametric Methods for Irregularly Sampled Censored Data with Applications to Liver Transplant Allocations — Sujit K Ghosh, North Carolina State University ; Bradley Turnbull, Apple Inc
3:05 PM	Bayesian Methods for Non-Ignorable Dropout in Joint Models in Smoking Cessation Studies — Jeremy Gaskins, University of Louisville ; Michael J Daniels, University of Texas at Austin
3:25 PM	Handling Incomplete Correlated Continuous and Binary Outcomes in Meta-Analysis of Individual Participant Data — Manuel Gomes, London School of Hygiene and Tropical Medicine ; Laura Anne Hatfield, Harvard Medical School ; Sharon-Lise Normand, Harvard Medical School
3:45 PM	Floor Discussion

557 *	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-315
Integrated Statistical Methods for Imaging Genomics and Multimodal Imaging — Invited Papers
Biometrics Section , Section on Statistics in Genomics and Genetics , Section on Statistics in Imaging
Organizer(s): Ani Eloyan, Brown University
Chair(s): Zhijin Wu, Brown University
2:05 PM	Bayesian Approaches for Inference on Brain Connectivity Networks — Marina Vannucci, Rice University
2:35 PM	Integrating Imaging and Genomics — Arvind Rao, UT MDACC ; Ganesh Rao, UT MDACC ; Veera Baladandayuthapani, University of Texas MD Anderson Cancer Center ; Michael Lehrer, UT MDACC ; Donnie Kim, UT MDACC
3:05 PM	Discussant: Ani Eloyan, Brown University
3:35 PM	Floor Discussion

563 * !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-349
Multiple Imputation for Measurement Errors and Other Structured Patterns of Missing Data — Topic Contributed Papers
Survey Research Methods Section , Section on Bayesian Statistical Science , Biometrics Section
Organizer(s): Philipp Gaffert, GfK SE
Chair(s): Hans Kiesl, Ostbayerische Technische Hochschule, Regensburg
2:05 PM	Multiple Imputation for Handling Measurement Errors — Trivellore Raghunathan, University of Michigan School of Public Health
2:25 PM	Data Fusion for Correcting Measurement Errors — Maria DeYoreo ; Jerry Reiter, Department of Statistical Science, Duke University ; Tracy Schifeling, Duke
2:45 PM	Multiple Imputation in Data Fusion: Making Better Assumptions Than Conditional Independence — Volker Bosch, GfK SE ; Philipp Gaffert, GfK SE
3:05 PM	Addressing Differential Measurement Error in Self-Reported Dietary Data Using an External Validation Study: Application to a Longitudinal Lifestyle Intervention Trial — Juned Siddique, Northwestern University ; Raymond Carroll, Texas A&M University ; Michael J Daniels, University of Texas at Austin ; Trivellore Raghunathan, University of Michigan School of Public Health ; Elizabeth Stuart, Johns Hopkins University ; Laurence Freedman, Gertner Institute for Epidemiology and Health Policy Research
3:25 PM	How Suited Is Propensity Score Matching for Combining Data from Different Sources? — Florian Meinfelder, Universitaet Bamberg
3:45 PM	Floor Discussion

573	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-317
Biometrics Student Paper Awards 2 — Topic Contributed Papers
Biometrics Section
Organizer(s): Debashis Ghosh, Colorado School of Public Health
Chair(s): Debashis Ghosh, Colorado School of Public Health
2:05 PM	Double Robust Matching Estimators for High-Dimensional Confounding Adjustment — Joseph Antonelli ; Matthew Cefalu, RAND Corporation ; Nathan Palmer, Harvard Medical School ; Denis Agniel, RAND Corporation
2:25 PM	Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve — Edward H Kennedy, Carnegie Mellon University ; Dylan Small, University of Pennsylvania
2:45 PM	A Fast Small-Sample Kernel Independence Test for Microbiome Community-Level Association Analysis — Xiang Zhan, Fred Hutchinson Cancer Research Center ; Anna Plantinga, University of Washington ; Ni Zhao, Johns Hopkins University ; Michael C. Wu, Fred Hutchinson Cancer Research Center
3:05 PM	Monotone Distribution Function Estimation in Randomized Trials with Noncompliance — Anqi Cheng, University of Washington
3:25 PM	Floor Discussion

577	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-310
Semiparametric Modeling in Biometric Data — Contributed Papers
Biometrics Section
Chair(s): Maryclare Griffin
2:05 PM	Regression Analysis of Multivariate Interval-Censored Failure Time Data Under Frailty Probit Models — Yifan Zhang, University of South Carolina ; Lianming Wang, University of South Carolina
2:20 PM	Stratified Semiparametric Density Ratio Model — Moming Li, George Mason University ; Guoqing Diao, George Mason University
2:35 PM	A Semi-parametric Bayesian Approach for Detection of Gene Expression Heterosis with RNA-Seq Data — Ran Bi, Iowa State University ; Peng Liu, Iowa State University
2:50 PM	Conditional Adaptive Bayesian Spectral Analysis of Nonstationary Biomedical Time Series — Scott Bruce, Department of Statistical Science, Temple University ; Martica H Hall, University of Pittsburgh ; Daniel J Buysse, Department of Psychiatry, University of Pittsburgh ; Robert T Krafty, Department of Biostatistics, University of Pittsburgh
3:05 PM	A Conditional Score Test for Homogeneity in Generalized Semiparametric Exponential Family Mixture Models — Rui Duan, University of Pennsylvania ; Yang Ning, Cornell University ; Bruce George Lindsay, The Pennsylvania State University, Department of Statistics ; Yong Chen, University of Pennsylvania
3:20 PM	Semiparametric Varying-Coefficient Nonlinear Regression for Interactions in Multifactor ANOVA Models with Unbalanced or Single Replications — Yumin Huang, Tunghai University
3:35 PM	Floor Discussion

578	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-314
Survival Analysis and Semiparametic and Nonparametric Models — Contributed Papers
Biometrics Section
Chair(s): Juhui James Jiao
2:05 PM	Copula-Based Score Test for Large-Scale Bivariate Time-To-Event Data, with an Application to a Genetic Study of AMD Progression — Yi Liu ; Ying Ding, University of Pittsburgh ; Wei Chen, University of Pittsburgh
2:20 PM	Semiparametric Single Index Regression Models for Censored Outcomes — Jin Wang, UNC Chapel Hill ; Donglin Zeng, University of North Carolina ; Danyu Lin, University of North Carolina
2:35 PM	Constructing Trees with Censored Survival Data — Madan Kundu, Novartis Oncology Pharmaceuticals - Florham Park, NJ
2:50 PM	A Semiparametric Random Effects Model for Clustered Competing Risks Data — Sai Dharmarajan, University of Michigan-School of Public Health ; Douglas Earl Schaubel, University of Michigan
3:05 PM	Concordance Probability: a View from Copula — Yilong Zhang, Merck Research Laboratories ; Yongzhao Shao, New York University-School of Medicine
3:20 PM	Nonparametric Copula Estimation for Censored Data via Empirical Likelihood — Bin Dong
3:35 PM	Semiparametric Regression Analysis of Multiple Interval-Censored and Right-Censored Events — Fei Gao, University of North Carolina ; Donglin Zeng, University of North Carolina ; Danyu Lin, University of North Carolina

595 * !	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-348
Dynamic Methods for Functional Data with Application to Clinical Data Analysis — Invited Papers
ENAR , Biometrics Section , Section on Nonparametric Statistics
Organizer(s): Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
Chair(s): Ciprian M Crainiceanu, Johns Hopkins University
8:35 AM	Dynamic Prediction Intervals for Functional Data — Nicholas Rios, Montclair State University ; Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences
8:55 AM	Dynamic Prediction of Alzheimer's Disease Progression with Longitudinal Functional Joint Model — Sheng Luo, The University of Texas Health Science Center at Houston ; Kan Li, The University of Texas Health Science Center at Houston
9:15 AM	Identification of Outliers in Dynamic Functional Regression for Child Growth Studies — Andrada E. Ivanescu, Montclair State University, Department of Mathematical Sciences ; Ciprian M Crainiceanu, Johns Hopkins University ; William Checkley, Johns Hopkins University
9:35 AM	Dynamic Prediction with Joint Models and Landmarking — Jonathan Gellar, Mathematica Policy Research
9:55 AM	A Joint Optimal Design for Functional Data with Application to Scheduling Ultrasound Scans — Luo Xiao, North Carolina State University
10:15 AM	Floor Discussion

606 * !	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-337
Meta-Analysis Has Moved Beyond Its Original Niche as a Method to Provide a Summary of the Average Effect of an Intervention on an Outcome — Topic Contributed Papers
Section on Statistics in Epidemiology , Health Policy Statistics Section , Biometrics Section , Biopharmaceutical Section
Organizer(s): Christopher Schmid, Brown University
Chair(s): Thomas Trikalinos, Brown University
8:35 AM	Robust Network Meta-Analysis: a Confidence Distribution Approach — Dungang Liu, University of Cincinnati ; Guang Yang, Jet.com ; Minge Xie, Rutgers University
8:55 AM	A Robust Pseudolikelihood-Based Inference of Personalized Utility Functions Through Multiple Outcomes Network Meta-Analysis — Yong Chen, University of Pennsylvania ; Rui Duan, University of Pennsylvania
9:15 AM	Breaking the Myth of Breaking Randomization: a Causal Examination of Arm-Based Meta-Analysis — Russell Steele, McGill University ; Mireille Schnitzer, Université de Montréal ; Ian Shrier, Lady Davis Institute and McGill University
9:35 AM	Hierarchical Models for Combining N-Of-1 Trials — Youdan Wang
9:55 AM	Discussant: Christopher Schmid, Brown University
10:15 AM	Floor Discussion

608 * !	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-345
Novel Methods for Longitudinal Analysis in Large Cohort Studies — Topic Contributed Papers
Biometrics Section
Organizer(s): Colin O. Wu, Office of Biostatistics Research, National Heart, Lung and Blood Institute, NIH
Chair(s): Colin O. Wu, Office of Biostatistics Research, National Heart, Lung and Blood Institute, NIH
8:35 AM	Statistical Indices for Risk Tracking in Longitudinal Studies — Xin Tian, National Heart, Lung and Blood Institute
8:55 AM	The Development and Validation of a Synthetic Cardiovascular Cohort — Norrina Allen, Northwestern University ; Hongyan Ning, Northwestern University ; Juned Siddique, Northwestern University ; Donald Lloyd-Jones, Northwestern University ; Amy Krefman, Northwestern University
9:15 AM	Dynamic Association Based on Time-Dependent Risk Factors in Longitudinal Studies — Lihui Zhao, Northwestern University ; Kiang Liu, Northwestern University ; Colin O. Wu, Office of Biostatistics Research, National Heart, Lung and Blood Institute, NIH ; Donald Lloyd-Jones, Northwestern University ; Norrina Allen, Northwestern University ; Sejong Bae, University of Alabama, Birmingham ; Lu Tian, Stanford University
9:35 AM	Discussant: Sejong Bae, University of Alabama, Birmingham
9:55 AM	Floor Discussion

618	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-346
Survival Analysis and Prediction — Contributed Papers
Biometrics Section
Chair(s): Ella Li
8:35 AM	Potential for Bias in a Composite Time-To-First-Event Analysis of Multiple Outcomes — Ionut Bebu, The George Washington University ; John M. Lachin, The George Washington University
8:50 AM	On Estimating Predictive Performance Measures of Risk Prediction Models with External Validation Data — Hajime Uno, Dana Farber Cancer Institute ; Eisuke Inoue, Medical Informatics, St. Marianna University School of Medicine
9:05 AM	Within-Strata vs. Full-range Predictor Variable Multiple Imputation Procedures for Cox Models — Philimon Gona, University of Massachusetts Boston ; Vasco Chikwasha, University of Zimbabwe College of Health Sciences ; Sowmya R Rao, Boston University
9:20 AM	Robust Procedure for Cure Models in Survival Analysis — Xiaoxia Han, NYU Langone Medical Center ; Yilong Zhang, Merck Research Laboratories ; Jia Bao, NYU Langone Medical Center ; Yongzhao Shao, New York University-School of Medicine
9:35 AM	A Nonparametric Mixture of Semiparametric Bayesian Hierarchical Survival Models for Pathway Based Analysis — Lin Zhang, Virginia Tech ; Inyoung Kim, Virginia Tech
9:50 AM	Optimizing Acute Myelogenous Leukemia Treatment Regimes via Sequential Conditional Structural Mean Models — Geoffrey Johnson, GlaxoSmithKline ; Abdus Wahed, University of Pittsburgh
10:05 AM	Floor Discussion

619	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-344
Causal Inference in Biometric Data — Contributed Papers
Biometrics Section
Chair(s): Valerie Poynor, California State University, Fullerton
8:35 AM	On Testing Conditional Qualitative Treatment Effects — Chengchun Shi, North Carolina State University ; Wenbin Lu, North Carolina State University ; Rui Song, NC State University
8:50 AM	Instrumental Variable Restrictive Mean Survival Time Models — Xin Wang, University of Michigan ; Douglas Earl Schaubel, University of Michigan
9:05 AM	Bounded, Efficient and Triply Robust Estimation of Average Treatment Effects Using Instrumental Variables — Linbo Wang, University of Washington ; Eric Tchetgen Tchetgen, Harvard University
9:20 AM	Covariate Adjustment Using Propensity Scores for Dependent Censoring Problems in the Accelerated Failure Time Model — Youngjoo Cho ; Chen Hu, Johns Hopkins University ; Debashis Ghosh, Colorado School of Public Health
9:35 AM	Sensitivity Analyzes for Causal Moderation Models for Zero-Inflated Data — Robert Gallop ; Paul Crits-Christoph, University of Pennsylvania
9:50 AM	Variable Selection and Estimation in Causal Inference Using a Bayesian Group Lasso Approach — Brandon Koch, University of Minnesota, Division of Biostatistics ; Julian Wolfson, University of Minnesota, Division of Biostatistics ; David Vock, University of Minnesota
10:05 AM	Floor Discussion

642 * !	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-349
Data-Driven Modeling in Medical and Health Policy Decision Making — Invited Papers
Section on Statistics in Epidemiology , Health Policy Statistics Section , Biometrics Section , ENAR , Section on Medical Devices and Diagnostics
Organizer(s): Chenyang Gu, Harvard Medical School, Liangyuan Hu, Icahn School of Medicine at Mount Sinai
Chair(s): Chenyang Gu, Harvard Medical School
10:35 AM	Leveraging Flexible Modeling Techniques in Data-driven Analytics — Liangyuan Hu, Icahn School of Medicine at Mount Sinai ; Madhu Mazumdar, Icahn School of Medicine at Mount Sinai
11:00 AM	Analytic Approaches to Decision Support at the Policy and Patient Level: a Case Study in HIV Treatment Monitoring in Kenya — Tao Liu, Brown University, Dept of Biostatistics ; Joseph Hogan, Brown University, Dept of Biostatistics ; Rami Kantor , Brown Univeresity School of Medicine
11:25 AM	Multi-Arm Bayesian Designs for Clinical Trials — Lorenzo Trippa, Dana-Farber Cancer Institute, Harvard
11:50 AM	Optimizing Patient Selection for Chemoprevention Through Predictive Modeling — Xi Kathy K Zhou, Weill Cornell Medical College
12:15 PM	Floor Discussion

645 *	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-329
Causal Mediation Analysis in Advanced Settings: Longitudinal, High-Dimensional, Censored Mediations — Topic Contributed Papers
Mental Health Statistics Section , Biometrics Section , Section on Statistics in Epidemiology , ENAR
Organizer(s): Chanmin Kim, Harvard University
Chair(s): Jason A Roy, University of Pennsylvania
10:35 AM	Explaining the Total Effect in the Presence of Multiple Mediators and Interactions — Linda Valeri, Harvard University ; Andrea Bellavia, Harvard T.H. Chan School of Public Health
10:55 AM	Causal Mediation Analysis for a Proportional Hazards Model with Interval-Censored Failure Time Data — Wei Wang, Division of Biostatistics, CDRH, FDA
11:15 AM	Continuous Time Causal Mediation Analysis for Longitudinal Data — Jeffrey Albert, Case Western Reserve University
11:35 AM	Bayesian Inference for Mediation Quantities with Factual and Intervened Posterior Predictive Distributions — Leah Comment, Harvard University School of Public Health ; Linda Valeri, Harvard University ; Brent Coull, Harvard T.H. Chan School of Public Health
11:55 AM	Floor Discussion

653 * !	Thu, 8/3/2017, 10:30 AM - 12:15 PM	CC-345
Optimization Methods with Biological Applications — Topic Contributed Papers
Biometrics Section , Section on Statistics in Genomics and Genetics
Organizer(s): Jason Xu, UCLA
Chair(s): Alex Tank, University of Washington
10:35 AM	An MM Algorithm for Split Feasibility Problems — Jason Xu, UCLA ; Eric Chi, North Carolina State University ; Meng Yang, North Carolina State University ; Kenneth Lange, UCLA
10:55 AM	Convex Triclustering — Brian Gaines, North Carolina State University ; Eric Chi, North Carolina State University ; Will Wei Sun, University of Miami ; Hua Zhou, University of California, Los Angeles
11:15 AM	Genotype and Haplotype Imputation by Matrix Completion Methods — Rory Wasiolek, University of California ; Janet Sinshiemer, University of California ; Kenneth Lange, UCLA
11:35 AM	Wasserstein Distance Optimization Using the Brenier Map — Samson Koelle, UNIVERSITY OF WASHINGTON
11:55 AM	Floor Discussion

658	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-344
Biometrics Data Mining — Contributed Papers
Biometrics Section
Chair(s): Craig Rolling, Saint Louis University
10:35 AM	Modeling Spatially Correlated and Heteroscedastic Errors in Ethiopian Maize Trials — Tigist Damesa, University of Hohenheim ; Hans-Peter Piepho, University of Hohenheim ; Jens Möhring, University of Hohenheim ; Johannes Forkman, Swedish University of Agricultural Sciences
10:50 AM	On the Forensic Analysis of Latent Fingerprint Evidence — Alan Izenman, Temple University
11:05 AM	Classification of Protein Binding Ligands Using Their Structural Information — Galkande A. Iresha Premarathna, Texas Tech University ; Leif Ellingson, Texas Tech University
11:20 AM	Detecting Changes in the Number of Modes for Circular Data — Michael Nava, University of California, Santa Barbara ; Kaushik Ghosh, University of Nevada Las Vegas
11:35 AM	The Adaptive "learn-As-You-Go" Design for Multi-Stage Intervention Studies — Daniel Nevo, Harvard T.H. Chan School of Public Health ; Judith Lok, Harvard T H Chan School of Public Health ; Donna Spiegelman, Harvard T.H. Chan School of Public Health
11:50 AM	A COM-Type Generalization of the Negative Binomial Distribution with Applications — Ram Tripathi, UTSA, Texas ; Sudip Roy, University of Texas at San Antonio ; Narayanaswamy Balakrishnan, McMaster University
12:05 PM	Estimation and Comparison of the Area Under the Receiver Operating Characteristic Curve in the Context of Clustered Data — Patrick Hilden ; Mithat Gönen, Memorial Sloan Kettering Cancer Center

JSM 2017 Online Program

Activity Details

ASA Meetings Department

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