JSM 2017 Online Program

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

Activity Details

4 * !	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-310
Safety Evaluation, Data Sources, and Statistical Strategies: Transforming Information into Evidence — Invited Papers
ENAR
Organizer(s): Olga Marchenko, QuintilesIMS
Chair(s): Matilde Sanchez-Kam
2:05 PM	Sources of Safety Data and Statistical Strategies for Design and Analysis in Clinical Trials — Richard C. Zink, JMP Life Sciences, SAS Institute, Inc.
2:30 PM	Transforming Real World Data into Evidence — Estelle Russek-Cohen, U.S. Food and Drug Administration ; Mark Levenson, FDA ; Qi Jiang, Amgen Inc. ; Richard C. Zink, JMP Life Sciences, SAS Institute, Inc. ; Michelle Krukas, QuintilesIMS ; Olga Marchenko, QuintilesIMS
2:55 PM	Healthcare Data and Tools for Post-Market Drug Safety — Mark Levenson, FDA
3:20 PM	Discussant: Qi Jiang, Amgen Inc.
3:40 PM	Floor Discussion

31	Sun, 7/30/2017, 2:00 PM - 3:50 PM	CC-311
Methodological Advancements in Biostatistics — Contributed Papers
ENAR
Chair(s): Jacquelyn Neal, Vanderbilt University
2:05 PM	Testing Hypotheses About a Ratio of Medians Using Conover's Rank Transformation — Donald Schuirmann, U.S. FDA
2:20 PM	Model Validation and Influence Diagnostics for Regression Models with Missing Covariates — Paul Bernhardt, Villanova University
2:35 PM	Investigating Multiple Imputation in Cluster Randomized Trials — Brittney Bailey, The Ohio State University ; Rebecca Andridge, Ohio State University ; Abigail Shoben, The Ohio State University
2:50 PM	Re-Conceptualizing the P-Value: a Probabilistic Comparison of Models Using Discrepancy Measures — Benjamin Nathaniel Riedle, University of Iowa ; Joseph Cavanaugh, University of Iowa ; Andrew Neath, SIU Edwardsville
3:05 PM	Tukey G-And-H Autoregressive Processes for Non-Gaussian Time Series — Yuan Yan, KAUST ; Marc G. Genton, KAUST
3:20 PM	Evaluating Particle Filtering Methods for Complex Multi-Pathogen Disease Systems — Xi Meng, University of Massachusetts Amherst ; Nicholas G. Reich, University of Massachusetts Amherst
3:35 PM	The Modified Concordance Correlation Coefficient Estimators — Parichart Pattarapanitchai, Department of Statistics, Faculty of Science, Silpakorn University ; Sasiprapa Hiriote, Department of Statistics, Faculty of Science, SILPAKORN 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

214644	Sun, 7/30/2017, 4:30 PM - 7:30 PM	H-Calloway A
ENAR Executive Committee Meeting — Other ICW
ENAR
Organizer(s): Scarlett Bellamy, Dre

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

95 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-303
Statistical Validation of Surrogate Endpoints — Invited Papers
Pharmaceutical Research and Manufacturers of America , Biopharmaceutical Section , ENAR
Organizer(s): Hong Tian, Janssen Research and Development
Chair(s): Sudhakar Rao
8:35 AM	Response Biomarker Versus Surrogate Endpoints Validation: Evolution of Statistical Approaches — Sue-Jane Wang, FDA
9:00 AM	Surrogacy for Regulatory Approval: The Follicular Lymphoma Analysis of Surrogate Hypothesis (FLASH) Project — Qian Shi, Mayo Clinic
9:25 AM	The Surrogate Threshold Effect for Event-Free Survival as a Potential Surrogate for Overall Survival in Patients Treated for Acute Myeloid Leukemia — Marc Buyse, IDDI Inc. ; Richard Schlenk, University Hospital of Ulm, Germany ; Hartmund Dohner, University Hospital of Ulm, Germany ; Tomasz Burzykowski, IDDI S.A.
9:50 AM	Issues Related to Statistical Validation of Minimal Residual Disease as a Surrogate Endpoint for Clinical Trials and Drug Approvals in AML — Liang Xiu, Janssen Research and Development ; Rianka Bhattacharya, Janssen Research and Development ; Jianan Hui, University of California, Riverside ; Hong Tian, Janssen Research and Development
10:15 AM	Floor Discussion

97 * !	Mon, 7/31/2017, 8:30 AM - 10:20 AM	CC-315
Mediation in the Presence of Post-Treatment Common Causes of the Mediator and the Outcome — Invited Papers
ENAR , Section on Statistics in Epidemiology , General Methodology
Organizer(s): Judith Lok, Harvard T H Chan School of Public Health, Tyler J. VanderWeele, Harvard University
Chair(s): Peng Ding, University of California, Berkeley
8:35 AM	Interventional Effects for Mediation Analysis with Multiple Mediators — Stijn Vansteelandt, Ghent University ; Rhian Daniel, London School of Hygiene & Tropical Medicine
8:55 AM	Parametric Mediational G-Formula Approach to Mediation Analysis with Time-Varying Exposures, Mediators, and Confounders: An Application for Smoking, Weight, and Blood Pressure — Sheng-Hsuan Lin, Columbia Mailman School of Public Health
9:15 AM	Partial Identification Bounds and Path-Specific Effects: Two (More) Options When Faced with Exposure-Induced Confounding — Caleb Hilliard Miles, University of California, Berkeley ; Ilya Shpitser, Johns Hopkins University ; Phyllis Kanki, Harvard T.H. Chan School of Public Health ; Seema Meloni, Harvard T.H. Chan School of Public Health ; Eric Tchetgen Tchetgen, Harvard University
9:35 AM	Organic Direct and Indirect Effects with Post-Treatment Common Causes of the Mediator and the Outcome — Judith Lok, Harvard T H Chan School of Public Health
9:55 AM	Discussant: Linda Valeri, Harvard 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

145 * !	Mon, 7/31/2017, 10:30 AM - 12:20 PM	CC-315
Statistical Methods in Data Integration and Data Harmonization — Invited Papers
ENAR , WNAR , IMS , Section on Statistics in Imaging , Section on Statistics in Genomics and Genetics
Organizer(s): Peter XK Song, University of Michigan,
Chair(s): Peter XK Song, University of Michigan,
10:35 AM	Generalized Meta-Analysis: Towards an Unified Paradigm for Model Building Through Integration of Disparate Data Sources — Nilanjan Chatterjee, Johns Hopkins University ; Runlong Tang, Johns Hopkins University ; Prosenjit Kundu, Johns Hopkins University
11:00 AM	Meta-Analysis with Extremely Small Number of Studies — Lu Tian, Stanford University ; Minge Xie, Rutgers University ; LJ Wei, Harvard University
11:25 AM	Integrating Imaging and Genetic Data for Understanding Neuropsychological Disorders — Heping Zhang, Yale University School of Public Health ; Canhong Wen, Sun Yat-Sen University ; Chintan Mehta, Yale University
11:50 AM	Discussant: Ryan Martin, NCSU
12:15 PM	Floor Discussion

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

204 * !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-308
Recent Development in Statistical Methods for Analyzing Big and Complex Neuroimaging Data — Invited Papers
ENAR , Section on Statistics in Imaging , Section on Statistical Learning and Data Science
Organizer(s): Jian Kang, University of Michigan, Yize Zhao, Weill Cornell Medicine, Cornell University
Chair(s): Yize Zhao, Weill Cornell Medicine, Cornell University
2:05 PM	Recent Development in Statistical Methods for Analyzing Big and Complex Neuroimaging Data — Ciprian M Crainiceanu, Johns Hopkins University
2:30 PM	High-Dimensional Multivariate Mediation with Application to Neuroimaging Data — Martin Lindquist, Johns Hopkins University
2:55 PM	Functional Data Modeling of Dynamic PET Data — R. Todd Ogden, Department of Biostatistics, Columbia University ; Yakuan Chen, Columbia University ; Jeff Goldsmith, Columbia University
3:20 PM	Functional Regression Models for Nonignorable Missing Scalar Responses — Hongtu Zhu, The University of Texas MD Anderson Cancer Center ; Tengfei Li, MD Anderson
3:45 PM	Floor Discussion

224 !	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-317
Recently Developed Survival Analysis Methods with Applications to End-Stage Renal Disease Data — Topic Contributed Papers
ENAR
Organizer(s): Douglas Earl Schaubel, University of Michigan
Chair(s): Yan Zhou, FDA
2:05 PM	Instrumental Variable Methods for Censored Data — Douglas Lehmann, University of Miami ; Yun Li, University of Michigan ; Douglas Earl Schaubel, University of Michigan
2:25 PM	Dynamic Prediction of End-Stage Renal Disease Using Longitudinal Biomarkers in a Cohort Study of Chronic Kidney Disease — Liang Li, University of Texas MD Anderson Cancer Center
2:45 PM	A C-Index for Recurrent Event Data: Application to Hospitalizations among Dialysis Patients — Sehee Kim, Universty of Michigan ; Douglas Earl Schaubel, University of Michigan ; Keith P McCullough, Arbor Research Collaborative for Health
3:05 PM	Inter-Unit Reliability for Evaluating Dialysis Facilities — Kevin He, University of Michiga ; John Kalbfleisch, University of Michigan
3:25 PM	A Flexible Joint Longitudinal-Survival Model for a Simultaneous Modeling of Multiple Longitudinal Biomarkers — Sepehr Akhavan Masouleh, UC Irvine ; Babak Shahbaba, University of California, Irvine ; Alexander Vandenberg-Rodes, UC Irvine ; Daniel L. Gillen, University of California, Irvine
3:45 PM	Floor Discussion

248	Mon, 7/31/2017, 2:00 PM - 3:50 PM	CC-Halls A&B
Contributed Poster Presentations: ENAR — Contributed Poster Presentations
ENAR
Chair(s): Jessi Cisewski, Yale University
57:	A Generalizable Application of SuperLearner to Facial Recognition — Mary Combs, UNIVERSITY OF CALIFORNIA
58:	Differential Network Analysis Based on Next Generation Sequencing Data — Tyler Grimes, University of Florida ; Somnath Datta, University of Florida

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

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

309 *	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-331/332
Statistical Topics in Precision Medicine — Invited Papers
IMS , ENAR , Section on Statistical Learning and Data Science
Organizer(s): Heping Zhang, Yale University School of Public Health
Chair(s): Heping Zhang, Yale University School of Public Health
10:35 AM	New Adaptive Designs of Clinical Trial for Precision Medicine — Feifang Hu, George Washington University
11:00 AM	Individualized Fusion Learning (IFusion) with Applications to Personalized Inference — Minge Xie, Rutgers University ; Jieli Shen, Rutgers University ; Regina Liu, Rutgers University
11:25 AM	Statistical Machine Learning and Precision Medicine — Michael Lawson, University of North Carolina at Chapel Hill ; Michael R Kosorok, University of North Carolina at Chapel Hill
11:50 AM	Hypothesis testings on high-dimensional individualized treatment rules — Young-Geun Choi, Fred Hutchinson Cancer Research Center ; Yang Ning, Cornell University ; Yingqi Zhao, Fred Hutchinson Cancer Research Center
12:15 PM	Floor Discussion

311 *	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-349
Overcoming Practical Challenges in the Design and Analysis of Medical Studies Using Electronic Health Records — Invited Papers
Health Policy Statistics Section , ENAR , WNAR
Organizer(s): Rebecca Hubbard, University of Pennsylvania
Chair(s): Ruth Etzioni, Fred Hutchinson Cancer Research Center
10:35 AM	Optimal Individualized Early Warning for Inpatient Adverse Events — Hossein Soleimani, Johns Hopkins University ; Suchi Saria, Johns Hopkins University
10:55 AM	Harnessing Diverse Data from a Healthcare Systems Network for Early Identification of Pediatric Diabetes — Rebecca Hubbard, University of Pennsylvania ; Grace Choi, University of Pennsylvania ; Arman Oganisian, University of Pennsylvania ; Yong Chen, University of Pennsylvania ; Jing Huang, University of Pennsylvania
11:15 AM	Informed Presence Bias in the Analysis of Electronic Health Records — Benjamin Goldstein, Duke University - Department of Biostatistics & Bioinformatics ; Matthew Phelan, Duke Clinical Research Institute - Center for Predictive Medicine ; Nrupen Bhavsar, Duke University - General Internal Medicine
11:35 AM	Using Historical, Electronic Health Record Data to Bolster a Cluster Randomized Trial of Early Childhood Obesity — Jonathan Schildcrout, Vanderbilt University Medical Center ; Aihua Bian, Vanderbilt University Medical Center
11:55 AM	Discussant: Patrick Heagerty, University of Washington
12:15 PM	Floor Discussion

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

320 *	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-318
The New ICH Guideline on Estimands: An Academic Perspective — Invited Panel
ENAR , WNAR , Biopharmaceutical Section
Organizer(s): Frank Bretz, Novartis AG, Estelle Russek-Cohen, U.S. Food and Drug Administration
Chair(s): Geert Molenberghs , Universiteit Hasselt
10:35 AM	The New ICH Guideline on Estimands: An Academic Perspective
Panelists:	Eric Tchetgen Tchetgen, Harvard University Estelle Russek-Cohen, U.S. Food and Drug Administration Scott Emerson, University of Washington Susan Ellenberg, University of Pennsylvania T. Shun Sato, University of Kyoto
12:10 PM	Floor Discussion

325 * !	Tue, 8/1/2017, 10:30 AM - 12:20 PM	CC-312
Semiparametric Regression in Matched Case-Crossover Studies — Topic Contributed Papers
ENAR
Organizer(s): Inyoung Kim, Virginia Tech
Chair(s): Lin Zhang, Virginia Tech
10:35 AM	Flexible Semiparametric Functional Analysis in Matched Case-Crossover Studies — Wenyu Gao ; Inyoung Kim, Virginia Tech
10:55 AM	Omnibus Test in Matched Case-Control Studies — Byung-Jun Kim, Virginia Polytechnic Inst. & State Univ. Department of Statistics ; Inyoung Kim, Virginia Tech
11:15 AM	Semiparametric Bayesian Models for Unbalanced Matched Case-Crossover Approach — Inyoung Kim, Virginia Tech ; Feng Guo, Virginia Tech
11:35 AM	Semiparametric Approaches for Matched Case-Control Studies with Error-In-Covariates — Nels Johnson ; Inyoung Kim, Virginia Tech
11:55 AM	Semiparametric Time Varying Coefficient Models for Matched Case-Crossover Studies — Ana Maria Ortega-Villa, National Institutes of Health ; Inyoung Kim, Virginia Tech
12:15 PM	Floor Discussion

214645	Tue, 8/1/2017, 12:30 PM - 4:00 PM	H-Key Ballroom 3
RAB and RECOM Lunch Meeting — Other ICW
ENAR
Organizer(s): Scarlett Bellamy, Drexel University

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

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

390 *	Tue, 8/1/2017, 2:00 PM - 3:50 PM	CC-339
Challenges in Whole-Genome Sequence Analysis: Experiences and Approaches in the TOPMed Project — Invited Papers
WNAR , Section on Statistics in Genomics and Genetics , ENAR
Organizer(s): Yun Li, University of North Carolina
Chair(s): Adam A. Szpiro, University of Washington
2:05 PM	FastSKAT: Sequence Kernel Association Tests for Very Large Sets of Markers in Large-Scale Sequencing Data — Kenneth Rice, University of Washington
2:30 PM	Computationally Efficient Rare Variant Association Testing in Multi-Ethnic Cohorts with Large-Scale Sequencing Data — Timothy Thornton, University of Washington
2:55 PM	Transcriptome-Wide Association Study of Blood Cell Traits in TOPMed — Yun Li, University of North Carolina
3:20 PM	Integrating Multi-Omics Data to Identify Target Genes for Complex Traits Through a Gibbs Sampling Strategy — Bingshan Li, Vanderbilt University ; Quan Wang, Vanderbilt University ; Ying Ji, Vanderbilt University ; Rui Chen, Vanderbilt University ; Qiang Wei, Vanderbilt University ; Xue Zhong, Vanderbilt University ; Hai Yang, Vanderbilt University
3:45 PM	Floor Discussion

441 * !	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-317
The Key to Integrative Analysis for Precision Medicine: Statistics! — Invited Papers
Section on Statistics in Genomics and Genetics , ENAR , Section on Statistics in Epidemiology , Caucus for Women in Statistics
Organizer(s): Josee Dupuis, Boston University School of Public Health, Ching-Ti Liu, Boston University School of Public Health
Chair(s): Ching-Ti Liu, Boston University School of Public Health
8:35 AM	Bayesian Variable Selection for Multi-Layer Overlapping Group Structure with Applications to Multi-Level Omics Data Integration — George Tseng, University of Pittsburgh ; Li Zhu, University of Pittsburgh
9:00 AM	Clustering Patients Across Multiple Data Views — Lucy Gao, University of Washington ; Jacob Bien, Cornell University ; Daniela Witten, University of Washington
9:25 AM	An Integrative Statistical Framework for Multi-Modal Omics Data — George Michailidis, University of Florida
9:50 AM	Accounting for Genetics in Biomarker-Disease Association Studies: Lessons Learned from Lung Disease — Katerina Kechris, University of Colorado Anschutz Medical Campus ; Wei Sun, Fred Hutchinson Cancer Research Center ; Sean Jacobson, National Jewish Health ; Wanda O'Neal, University of North Carolina at Chapel Hill ; Russell Bowler, National Jewish Health
10:15 AM	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

451 * !	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-303
Current Trends in Statistical Genomics: Finding Needle in a Haystack? — Topic Contributed Papers
ENAR , Biopharmaceutical Section , International Indian Statistical Association , Section on Statistics in Genomics and Genetics
Organizer(s): Somnath Datta, University of Florida
Chair(s): Hyoyoung Choo-Wosoba, NCI, NIH
8:35 AM	Marginal False Discovery Rates for Penalized Regression Models — Patrick Breheny, University of Iowa
8:55 AM	Advances and Challenges of Single Cell RNA-Seq Data Analysis — Susmita Datta, University of Florida
9:15 AM	Statistical Challenges in Analysis of Complex Phenotypes Derived from Sequential Images — Dan Nettleton, Iowa State University ; Patrick Schnable, Iowa State University ; Yehua Li, Iowa State University ; Li Wang, Iowa State University ; Baskar Ganapathysubramanian, Iowa State University
9:35 AM	ANOVA-Based Clustering to Improve Potency Estimation in Quantitative High-Throughput Screening Data — Shyamal Peddada, NIH/NIEHS ; Keith Shockley, NIEHS ; Abhishek Kaul, NIEHS ; Shuva Gupta, UC Davis ; Shawn Harris, SSS ; Soumendra N Lahiri, North Carolina State University
9:55 AM	Association Analysis Using Sequence Reads Without Calling Genotypes — Yijuan Hu, Emory University ; Peizhou Liao, Department of Biostatistics and Bioinformatics, Emory ; Henry Johnston, Department of Biostatistics and Bioinformatics, Emory ; Andrew Allen, Department of Biostatistics and Bioinformatics, Duke ; Glen Satten, Centers for Disease Control and Prevention
10:15 AM	Floor Discussion

468	Wed, 8/2/2017, 8:30 AM - 10:20 AM	CC-304
Recurrent Event Data and Survival Analysis — Contributed Papers
ENAR
Chair(s): Zhenya Cherkas, Janssen R&D
8:35 AM	A General Class of Additive Models for Recurrent Event Data — Russell Stocker, Indiana University of Pennsylvania
8:50 AM	Quantifying and Estimating the Predictive Accuracy for Censored Time-to-Event Data with Competing Risks — Cai Wu, University of Texas MD Anderson Cancer Center ; Liang Li, University of Texas MD Anderson Cancer Center
9:05 AM	Transition Models with Informative Cluster Size and Informative — Joseph Bible, NICHD ; Danping Liu, National Institutes of Health ; Paul S. Albert, National Cancer Institute/NIH
9:20 AM	Semiparametric Temporal Process Regression for Prevalence Modeling of Data Subject to Dependent Censoring — Tianyu Zhan, Biostatistics, University of Michigan ; Douglas Earl Schaubel, University of Michigan
9:35 AM	Constructing Cohorts That Mimic the Survival Experience in Published Survival Analyses — Abhijit Das Gupta, ARAASTAT
9:50 AM	Semiparametric Regression Modeling and Transition-Probability Prediction with Correlated Interval Censored Life-History Data — Daewoo Pak, Michigan State University ; Chenxi Li, Michigan State University ; David Todem, Michigan State University

479 * !	Wed, 8/2/2017, 10:30 AM - 12:20 PM	CC-338
Statistical Analysis of Complex Imaging Data — Invited Papers
Section on Nonparametric Statistics , IMS , Section on Statistics in Imaging , ENAR
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Dehan Kong, University of Toronto
10:35 AM	JIVE Integration of Behavioral and fMRI Data — J. S. (Steve) Marron, University of North Carolina ; Benjamin Risk, SAMSI, Department of Biostatistics and Bioinformatics, Emory University ; Qunqun Yu, UNC - Statistics & OR
11:00 AM	Exploratory and Data Visualization Methods for High-Dimensional Brain Signals — Hernando Ombao, KAUST and UC Irvine ; Yuxiao Wang, University of California, Irvine ; Chee-Ming Ting, KAUST
11:25 AM	Am I My Connectome? Fingerprinting with Repeated Resting State Functional MRI Data — Brian Scott Caffo, Johns Hopkins ; Zeyi Wang, Johns Hopkins ; Ciprian M Crainiceanu, Johns Hopkins University ; Martin Lindquist, Johns Hopkins University ; Jim Pekar, Johns Hopkins ; Joshua Vogelstein, Johns Hopkins ; Haris Sair, Johns Hopkins
11:50 AM	Statistical Analysis of Registration and Registered Imaging Data — John AD Aston, University of Cambridge ; Eardi Lila, University of Cambridge
12:15 PM	Floor Discussion

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

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

566 * !	Wed, 8/2/2017, 2:00 PM - 3:50 PM	CC-339
Recent Advances in Quality Statistics and Process Validation of Pharmaceuticals — Topic Contributed Papers
Section on Risk Analysis , Biopharmaceutical Section , Quality and Productivity Section , ENAR
Organizer(s): Stan Altan, Janssen R&D, LLC
Chair(s): Jyh-Ming Shoung, Janssen R&D, LLC
2:05 PM	Continued Process Verification - a Systems Approach Including Tips and Traps — Ronald D Snee, Snee Associates, LLC
2:25 PM	Recent Advances in Quality Statistics and Process Validation of Pharmaceuticals — Lynne Hare, Statistical Strategies, LLC
2:45 PM	Process Validation: Statistical Methods for Evaluating Uniformity of Dosage Units — James Bergum ; Thomas Stepinac, Novartis
3:05 PM	Improved Acceptance Limits for ASTM Standard E2810 — Richard Lewis, GlaxoSmithKline ; Ailin Fan, North Carolina State University
3:25 PM	Discussant: Stan Altan, Janssen R&D, LLC
3:45 PM	Floor Discussion

594 * !	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-336
Spatial Risk Assessment with Environmental Applications — Invited Papers
Section on Statistics and the Environment , ENAR , International Statistical Institute
Organizer(s): Ying Sun, King Abdullah University of Science and Technology
Chair(s): Ying Sun, King Abdullah University of Science and Technology
8:35 AM	Heteroscedastic Asymmetric Spatial Processes (HASP) — Peter F Craigmile, The Ohio State University ; Jiangyong Yin, Google Inc.
9:00 AM	Bayesian Computing and Modeling for Nearest-Neighbor Gaussian Process Models — Sudipto Banerjee, UCLA Fielding School of Public Health
9:25 AM	A Causal Inference Analysis of the Effect of Wildland Fire Smoke on Ambient Air Pollution Levels and Health Burden — Ana Rappold, US EPA ; Brian Reich, NCSU ; Alexandra Larsen, North Carolina State University
9:50 AM	Copula-Based Semiparametric Models for Spatial-Temporal Data — Huixia Judy Wang, The George Washington University ; Yanlin Tang, George Washington University ; Ying Sun, King Abdullah University of Science and Technology
10:15 AM	Floor Discussion

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

605 *	Thu, 8/3/2017, 8:30 AM - 10:20 AM	CC-339
Recent Statistical Advance in Functional Genomics — Topic Contributed Papers
ENAR , International Chinese Statistical Association , Section on Statistics in Genomics and Genetics
Organizer(s): Qunhua Li, Penn State University
Chair(s): Trish Goedecke, University of Tennessee Health Science Center
8:35 AM	Assessing Reproducibility of Hi-C Chromatin Loops Using Irreproducible Discovery Rate Regression — Qunhua Li ; Feipeng Zhang, Penn State University ; Tao Yang, Penn State University
8:55 AM	Decision Making in Hierarchical Multi-Label Classification (HMC) Problems with Applications to Disease Diagnosis — Haiyan Huang, Univ of California at Berkeley
9:15 AM	Functional Impact of Epigenomic Variation Between Individuals — Kasper Hansen, Johns Hopkins Biostatistics
9:35 AM	Matched Bipartite Community Detection with Node Covariates — Jingyi Li, UCLA ; Zahra S. Razaee, UCLA ; Arash A. Amini, UCLA
9:55 AM	Statistical Methods for Interrogating Promoter-Enhancer Interactions Originating from Repetitive Regions Using Hi-C Data — Sunduz Keles, University of Wisconsin-Madison ; Ye Zheng, University of Wisconsin
10:15 AM	Floor Discussion

634 * !	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-340
Dynamic Modeling for Timely Health Care Decisions — Invited Papers
WNAR , ENAR , Committee on Applied Statisticians
Organizer(s): Tanya Garcia, Texas A&M University, Samuel Mueller, University of Sydney
Chair(s): Jiawei Bai, Johns Hopkins University
10:35 AM	Dynamic Predictions Based on Joint Models — Jeremy M. G. Taylor, University of Michigan ; Krithika Suresh, University of Michigan ; Alex Tsodikov, University of Michigan
11:00 AM	Dynamic Landmark Prediction and Model Selection for Genetic Mixture Models — Tanya Garcia, Texas A&M University ; Layla Parast, RAND Corporation
11:25 AM	Robust Estimators for the Evaluation of Multiple Surrogate Markers with Censored Data — Layla Parast, RAND Corporation ; Tianxi Cai, Harvard University ; Lu Tian, Stanford University
11:50 AM	Sparse Pairwise Likelihood Estimation for Multivariate Longitudinal Mixed Models — Samuel Mueller, University of Sydney ; Alan H Welsh, The Australian National University ; Francis KC Hui, The Australian National University
12:15 PM	Floor Discussion

640	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-328
The State-of-the-Art in Modeling and Testing of High-Dimensional Brain Images and Networks — Invited Papers
Section on Statistics in Imaging , ENAR , Section on Nonparametric Statistics
Organizer(s): Russell Shinohara, University of Pennsylvania
Chair(s): Russell Shinohara, University of Pennsylvania
10:35 AM	Network-based inference for neuroimaging data — Liza Levina, University of Michigan
10:55 AM	Screening Strategies for Reconstructing Brain Connectivity Networks with Multivariate Hawkes Process — Ali Shojaie, University of Washington ; Shizhe Chen, Columbia University ; Daniela Witten, University of Washington
11:15 AM	Powerful, Fast, and Robust Family-Wise Error Control for Neuroimaging — Simon Vandekar, University of Pennsylvania ; Theodore Satterthwaite, Univ of Pennsylvania ; Adon Rosen, University of Pennsylvania ; Rastko Ciric, University of Pennsylvania ; David Roalf, University of Pennsylvania ; Kosha Ruparel, University of Pennsylvania ; Ruben C Gur, University of Pennsylvania ; Raquel E Gur, University of Pennsylvania ; Russell Shinohara, University of Pennsylvania
11:35 AM	Hypothesis Testing of Matrix Graph Model and Application in Brain Connectivity Analysis — Lexin Li, University of California at Berkeley ; Yin Xia, Fudan University
11:55 AM	Two Overlooked Statistical Issues in the Study of Neurodevelopmental Trajectories — Philip Reiss, University of Haifa
12:15 PM	Floor Discussion

641 * !	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-309
Foundations of Network Analysis — Invited Papers
IMS , Royal Statistical Society , ENAR
Organizer(s): Walter Dempsey, University of Michigan
Chair(s): Chao Gao, University of Chicago
10:35 AM	Network Sparsity and Subsequent Inference — Joshua Cape, Johns Hopkins University ; Minh Tang, Johns Hopkins University ; Carey E Priebe, Johns Hopkins University
11:05 AM	Challenges in Network Sampling: Open Problems and Some Progress — Eric Kolaczyk, Boston University
11:35 AM	Accounting for the Sampling Scheme in Network Modeling — Harry Crane, Rutgers University ; Walter Dempsey, University of Michigan
12:05 PM	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

661	Thu, 8/3/2017, 10:30 AM - 12:20 PM	CC-348
Statistical Approaches to High-Dimensional Modeling and Real-World Problems — Contributed Papers
ENAR , Section on Statistics in Genomics and Genetics
Chair(s): Wei Chen, University of Pittsburgh
10:35 AM	A Bayesian Hierarchical Model for Single-Cell RNA-Sequencing Data Clustering — Yiyi Liu, Yale University ; Hongyu Zhao, Yale University
10:50 AM	Models for Dependent Data in Single Cell Gene Expression — Andrew McDavid, University of Rochester Medical Center - Rochester, NY
11:05 AM	FDR Control of the High-Dimensional TOST Tests — Jing Qiu, University Of Delaware ; Yue Qi, SAS
11:20 AM	Bayesian Lasso for GWAS — LiJin Joo, New York University ; Cheongeun Oh, New York University
11:35 AM	Non-parametric Association Testing of fMRI Functional Connectivity and Genetic Similarity — Dustin Pluta, University of California, Irvine ; Hernando Ombao, KAUST and UC Irvine ; Zhaoxia Yu, University of California, Irvine ; Tong Shen, University of California, Irvine
11:50 AM	Sensor Fusion Approach for Detecting Landmines — Andrew Cho, Duke University ; Colin Rundel, Duke University Statistical Science

JSM 2017 Online Program

Activity Details

ASA Meetings Department

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