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

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

Activity Details

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

24 * !	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-102
Emerging Opportunities for Utilizing Real-World Evidence to Impact Drug Development and Regulatory Decision-Making — Topic Contributed Panel
Biopharmaceutical Section, Health Policy Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Joo-Yeon Lee, U.S Food and Drug Administration
Chair(s): Hana Lee, U.S Food and Drug Administration
2:05 PM	Emerging Opportunities for Utilizing Real-World Evidence to Impact Drug Development and Regulatory Decision-Making Presentation 1 Presentation 2 Presentation 3 Presentation 4
Panelists:	David Martin , FDA David Benkeser, Emory Jessica M Franklin, Brigham and Women’s Hospital and Harvard Medical School Weili He, AbbVie
3:40 PM	Floor Discussion

27	Sun, 7/28/2019, 2:00 PM - 3:50 PM	CC-103
SPEED: Causal Inference and Related Methodology Part 1 — Contributed Speed
Section on Statistics in Epidemiology
Chair(s): Te-Ching Chen, CDC/NCHS
Poster Presentations for this session.
2:05 PM	Instrumental Variable Estimation of Weighted Local Average Treatment Effects Byeong Yeob Choi, University of Texas Health Science Center at San Antonio
2:10 PM	Two-Stage Residual Inclusion Under the Additive Hazards Model - an Instrumental Variable Approach with Application to SEER-Medicare Linked Data Presentation Andrew Ying, University of California, San Diego; Ronghui Xu, University of California, San Diego; James Murphy, University of California, San Diego
2:15 PM	Xtgeebcv: a Stata Command for Bias-Corrected Sandwich Variance Estimation for GEE Analyzes of Cluster Randomized Trials Presentation John A Gallis, Duke University; Fan Li, Duke University; Elizabeth L Turner, Duke University
2:20 PM	Sensitivity Analysis and the Odds Ratio Presentation Julian Chan, Weber State University
2:25 PM	On the Identification of Individual Principal Stratum Direct, Natural Direct and Pleiotropic Effects Without Cross-World Independence Assumptions Jaffer Zaidi; Tyler VanderWeele, Harvard University
2:30 PM	Mediation Analysis with a Censored Mediator in a Case–control Study Presentation 1 Presentation 2 Jian Wang, UT MD Anderson Cancer Center; Jing Ning, The University of Texas MD Anderson Cancer Center; Sanjay Shete, UT MD Anderson Cancer Center
2:35 PM	Conditional Process Analysis: Moderated Mediation Model of Perceived Ethnic Discrimination and Binge Drinking Among Recent Latino Immigrant Youth Presentation Zoran Bursac, Florida International University; Miguel Angel Cano, Florida International University; Seth J Schwartz, University of Miami
2:40 PM	A Modified Partial Likelihood Score Method for Cox Regression with Covariate Error Under the Internal Validation Design Presentation Xin Zhou, Yale School of Public Health; David Zucker, The Hebrew University of Jerusalem; Xiaomei Liao, AbbVie; Yi Li, University of Michigan School of Public Health; Donna Spiegelman, Yale School of Public Health
2:45 PM	Multivariate One-Sided Testing in Matched Observational Studies as an Adversarial Game Peter Lucas Cohen, Massachusetts Institute of Technology; Matt A. Olson, The Voleon Group; Colin B. Fogarty, Massachusetts Institute of Technology
2:50 PM	Permutation Weighting Presentation Drew Dimmery, Facebook; David Arbour, Adobe Research
3:05 PM	Estimation of Mediation Effect for High-Dimensional Omics Mediators with Application to the Framingham Heart Study Presentation Tianzhong Yang, The University of Minnesota Twin Cities; Jingbo Niu, Baylor College of Medicine; Han Chen, the University of Texas Health Science Center at Houston; Peng Wei, The University of Texas MD Anderson Cancer Center
3:10 PM	Bias and Efficiency in a Matched Observational Study with Varying Cluster Size Presentation 1 Presentation 2 Eric KH Chow, Quantitative Sciences Unit, Stanford University School of Medicine; Rajani Kaimal, Quantitative Sciences Unit, Stanford University School of Medicine; Vedant Pargaonkar, Interventional Cardiology, Stanford University School of Medicine; Sara Bouajila, Stanford University School of Medicine; Katharine Sears-Edwards, Cardiovascular Medicine, Stanford University School of Medicine; Jennifer Tremmel, Interventional Cardiology, Stanford University School of Medicine; Manisha Desai, Stanford University Quantitative Sciences Unit
3:15 PM	Testing for Weak Instruments in Two Sample Summary Data Multivariable Mendelian Randomisation Eleanor Sanderson, University of Bristol; Jack Bowden, University of Bristol
3:20 PM	Estimating Uncertainty in Weighted Competing Risk Analyzes Amber Hackstadt, Vanderbilt University Medical Center; Jonathan Chipman, Vanderbilt University; Christianne L. Roumie , Vanderbilt University Medical Center, Veteran Administration Tennessee Valley VA Health ; Adriana M. Hung, Vanderbilt University Medical Center; Jea Young Min , Vanderbilt University Medical Center; Carlos G Grijalva , Vanderbilt University Medical Center; Marie R Griffin, Vanderbilt University Medical Center; Robert Greevy, Vanderbilt University
3:25 PM	Person as Population: a Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data Presentation Eric J. Daza, Stanford Prevention Research Center, Stanford University School of Medicine
3:30 PM	Causal Mediation Analysis Using Gradient Boosting Machines: Developing Methods and Software Brian G. Vegetabile, RAND Corporation; Donna L. Coffman, Temple University; Daniel F. McCaffrey, Educational Testing Service
3:35 PM	Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study Mityl Biswas, NC State Univ
3:40 PM	Identify Consensus Among Match Makers: a Clustering Aggregation Perspective Yumin Zhang, Purdue University; Arman Sabbaghi, Purdue University
3:45 PM	Floor Discussion

65 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-706
New Methods for Identifying and Testing Heterogeneous Treatment Effects in One or a Pair of Studies — Topic Contributed Papers
Health Policy Statistics Section, Social Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Amelia M Haviland, Carnegie Mellon University - Heinz College
Chair(s): Amelia M Haviland, Carnegie Mellon University - Heinz College
4:05 PM	Inference for the Smoothed Proportion Whose Average Treatment Effect Exceeds a Threshold Presentation Jonathan Levy
4:25 PM	Proposing and Testing Sub-Groups with Heterogeneous Treatment Effects: a Sequence of Two Studies Presentation Rahul Ladhania, Carnegie Mellon University; Amelia M Haviland, Carnegie Mellon University - Heinz College; Neeraj Sood, University of Southern California; Ateev Mehrotra, Harvard Medical School
4:45 PM	Discovering Heterogeneous Exposure Effects in Air Pollution Studies Presentation Kwonsang Lee, Harvard University; Dylan Small, University of Pennsylvania; Francesca Dominici, Harvard T.H. Chan School of Public Health
5:05 PM	Best Practices for Detecting Treatment Effect Heterogeneity in Multisite Trials Presentation Luke Miratrix, Harvard University
5:25 PM	Floor Discussion

68 * !	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-107
Advancements in Seasonality Modeling in the Era of Complex Data — Topic Contributed Papers
Section on Statistics in Epidemiology, Section on Teaching of Statistics in the Health Sciences, Committee on Women in Statistics
Organizer(s): Elena N Naumova, Tufts University
Chair(s): Vyacheslav Lyubchich, University of Maryland Center for Environmental Science
4:05 PM	Harmonization of Global and Local Calendars: What, When and Where? Presentation Elena N Naumova, Tufts University
4:25 PM	Assessing Seasonality in Cohort Studies, Hospitalization Records, and Surveillance Systems Presentation Tania Alarcon Falconi, Tufts University; Elena N Naumova, Tufts University
4:45 PM	The Use of Mathematical and Computational Models to Guide the Healthcare-Associated Infection Prevention Strategies Presentation Eric Lofgren, Washington State University
5:05 PM	Seasonality Highlights Trends and Conditions Associated with Shellfish-Borne Vibrio Parahaemolyticus Presentation Meghan Hartwick, UNH; Stephen Jones, UNH
3:25 PM	Discussant: Al Ozonoff, Harvard Medical School
4:45 PM	Floor Discussion

82	Sun, 7/28/2019, 4:00 PM - 5:50 PM	CC-109
Statistical Methods for Disease Prevention and Prediction — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Yujia Pan, University of Michigan
4:05 PM	Using a Half-Normal Distribution to Track Extreme BMI Values Among Youth Rong Wei, National Center for Health Statistics; Van Parsons, National Center for Health Statistics
4:20 PM	Determinants of Inter-Individual Variation in Nevus Counts Among Children Jaya M Satagopan, Memorial Sloan Kettering Cancer Center; Ariel Chernofsky, Boston University; Qin Zhou, Memorial Sloan Kettering Cancer Center; Stephen W Dusza, Memorial Sloan Kettering Cancer Center; Allan Halpern, Memorial Sloan Kettering Cancer Center; Irene Orlow, Memorial Sloan Kettering Cancer Center
4:35 PM	Frailty Model to Account for Unmeasured Heterogeneity in SEER Registry Data: An Illustration to Estimate Race-Ethnic Mortality Risk in Pediatric Acute Myeloid Leukemia Hacene Boukari, Delaware State University; Fatima Boukari, Delaware State University; Md Jobayer Hossain, Nemours children Healthcare Systems
5:05 PM	Bayesian Semiparametric Approach to Constrained ROC Curves Using Placement Values Soutik Ghosal, Eunice Kennedy Shriver National Institue of Child Health and Human Development; Zhen Chen, Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
5:20 PM	Floor Discussion

88	Sun, 7/28/2019, 5:05 PM - 5:50 PM	CC-Hall C
SPEED: Causal Inference and Related Methodology Part 2 — Contributed Poster Presentations
Section on Statistics in Epidemiology
Chair(s): Te-Ching Chen, CDC/NCHS
Oral Presentations for this session.
1:	Instrumental Variable Estimation of Weighted Local Average Treatment Effects Byeong Yeob Choi, University of Texas Health Science Center at San Antonio
2:	Two-Stage Residual Inclusion Under the Additive Hazards Model - an Instrumental Variable Approach with Application to SEER-Medicare Linked Data Andrew Ying, University of California, San Diego; Ronghui Xu, University of California, San Diego; James Murphy, University of California, San Diego
3:	Xtgeebcv: a Stata Command for Bias-Corrected Sandwich Variance Estimation for GEE Analyzes of Cluster Randomized Trials John A Gallis, Duke University; Fan Li, Duke University; Elizabeth L Turner, Duke University
4:	Sensitivity Analysis and the Odds Ratio Julian Chan, Weber State University
5:	On the Identification of Individual Principal Stratum Direct, Natural Direct and Pleiotropic Effects Without Cross-World Independence Assumptions Jaffer Zaidi; Tyler VanderWeele, Harvard University
6:	Mediation Analysis with a Censored Mediator in a Case–control Study Jian Wang, UT MD Anderson Cancer Center; Jing Ning, The University of Texas MD Anderson Cancer Center; Sanjay Shete, UT MD Anderson Cancer Center
7:	Conditional Process Analysis: Moderated Mediation Model of Perceived Ethnic Discrimination and Binge Drinking Among Recent Latino Immigrant Youth Zoran Bursac, Florida International University; Miguel Angel Cano, Florida International University; Seth J Schwartz, University of Miami
8:	A Modified Partial Likelihood Score Method for Cox Regression with Covariate Error Under the Internal Validation Design Xin Zhou, Yale School of Public Health; David Zucker, The Hebrew University of Jerusalem; Xiaomei Liao, AbbVie; Yi Li, University of Michigan School of Public Health; Donna Spiegelman, Yale School of Public Health
9:	Multivariate One-Sided Testing in Matched Observational Studies as an Adversarial Game Peter Lucas Cohen, Massachusetts Institute of Technology; Matt A. Olson, The Voleon Group; Colin B. Fogarty, Massachusetts Institute of Technology
10:	Permutation Weighting Drew Dimmery, Facebook; David Arbour, Adobe Research
12:	Estimation of Mediation Effect for High-Dimensional Omics Mediators with Application to the Framingham Heart Study Tianzhong Yang, The University of Minnesota Twin Cities; Jingbo Niu, Baylor College of Medicine; Han Chen, the University of Texas Health Science Center at Houston; Peng Wei, The University of Texas MD Anderson Cancer Center
13:	Bias and Efficiency in a Matched Observational Study with Varying Cluster Size Eric KH Chow, Quantitative Sciences Unit, Stanford University School of Medicine; Rajani Kaimal, Quantitative Sciences Unit, Stanford University School of Medicine; Vedant Pargaonkar, Interventional Cardiology, Stanford University School of Medicine; Sara Bouajila, Stanford University School of Medicine; Katharine Sears-Edwards, Cardiovascular Medicine, Stanford University School of Medicine; Jennifer Tremmel, Interventional Cardiology, Stanford University School of Medicine; Manisha Desai, Stanford University Quantitative Sciences Unit
14:	Testing for Weak Instruments in Two Sample Summary Data Multivariable Mendelian Randomisation Eleanor Sanderson, University of Bristol; Jack Bowden, University of Bristol
15:	Estimating Uncertainty in Weighted Competing Risk Analyzes Amber Hackstadt, Vanderbilt University Medical Center; Jonathan Chipman, Vanderbilt University; Christianne L. Roumie , Vanderbilt University Medical Center, Veteran Administration Tennessee Valley VA Health ; Adriana M. Hung, Vanderbilt University Medical Center; Jea Young Min , Vanderbilt University Medical Center; Carlos G Grijalva , Vanderbilt University Medical Center; Marie R Griffin, Vanderbilt University Medical Center; Robert Greevy, Vanderbilt University
16:	Person as Population: a Longitudinal View of Single-Subject Causal Inference for Analyzing Self-Tracked Health Data Eric J. Daza, Stanford Prevention Research Center, Stanford University School of Medicine
17:	Causal Mediation Analysis Using Gradient Boosting Machines: Developing Methods and Software Brian G. Vegetabile, RAND Corporation; Donna L. Coffman, Temple University; Daniel F. McCaffrey, Educational Testing Service
18:	Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study Mityl Biswas, NC State Univ
19:	Identify Consensus Among Match Makers: a Clustering Aggregation Perspective Yumin Zhang, Purdue University; Arman Sabbaghi, Purdue University
Oral Presentations for this session.

218934	Mon, 7/29/2019, 7:00 AM - 9:00 AM	H-Capitol Ballroom 1
SIE Speed Mentoring Breakfast — Other Cmte/Business
Section on Statistics in Epidemiology
Chair(s): Kathleen Jablonski, George Washington University

99 * !	Mon, 7/29/2019, 8:30 AM - 10:20 AM	CC-111
Causal Inference with Non-Traditional Designs — Invited Papers
IMS, Section on Statistics in Epidemiology, American Public Health Association
Organizer(s): Maya B Mathur, Harvard University
Chair(s): Maya B Mathur, Harvard University
8:35 AM	Propensity Score Methods for Merging Observational and Experimental Data Sets Presentation Evan Rosenman, Stanford University; Art Owen, Stanford University; Michael Baiocchi, Stanford University; Hailey Banack, University at Buffalo
9:00 AM	The Trend-In-Trend Research Design for Causal Inference Presentation Ashkan Ertefaie, University of Rochester; Dylan Small, University of Pennsylvania; Sean Hennessy, University of Pennsylvania; Xinyao Ji, University of Pennsylvania; Charles Leonard, University of Pennsylvania
9:25 AM	Design and Analysis of Two-Stage Randomized Experiments Presentation Kosuke Imai, Harvard University; Zhichao Jiang, Harvard University
9:50 AM	Discussant: Dylan Small, University of Pennsylvania
10:15 AM	Floor Discussion

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

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

156 * !	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-709
Statistical Interactions – Making an Impact in Health Science — Topic Contributed Papers
Section on Risk Analysis, International Indian Statistical Association, Section on Statistics in Epidemiology, Section on Statistics in Genomics and Genetics
Organizer(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
Chair(s): Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
10:35 AM	Identification of Gene-Gene and Gene-Environment Interactions in Genetic Association Studies Presentation Charles Kooperberg, Fred Hutchinson Cancer Research Center
10:55 AM	Detection of Set-Based Gene-Environment Interactions for Substance Use Disorders Presentation Saonli Basu, University of Minnesota, Biostatistics SPH; Brandon Coombes, Mayo Clinic; Matt McGue, University of Minnesota
11:15 AM	Test for Gene (G)-Environment (E) Interaction Based on the Trend Effect of Genotype Under an Additive Risk Model Using an Empirical Bayes-Type Shrinkage Estimator Summer Han, Stanford University; Matthieu de Rochemonteix, Stanford University; Nilanjan Chatterjee, Johns Hopkins University
11:35 AM	Statistical Interaction and Mendelian Randomization: What They Have in Common? Presentation Mariza de Andrade, Mayo Clinic
11:55 AM	Estimating Additive Interaction Effect in Stratified Two-Phase Case-Control Design Ai Ni, The Ohio State University; Jaya M Satagopan, Memorial Sloan Kettering Cancer Center
12:15 PM	Floor Discussion

179	Mon, 7/29/2019, 10:30 AM - 12:20 PM	CC-111
Statistical Methods for Measurement Error and Missing Data in Covariates/Exposures — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Hengshi Yu, University of Michigan, Ann Arbor
10:35 AM	New Insights into Modeling Exposure Measurements Below the Limit of Detection Ana Maria Ortega-Villa, National Institutes of Health; Danping Liu, National Cancer Institute; Mary H Ward, National Institutes of Health; Albert S Paul, National Institutes of Health
10:50 AM	Berkson Error with Outcome Model Misspecification: Bias When Using Predicted Values in Place of Observed Covariates Gregory Haber, National Cancer Institute; Joshua Sampson, National Cancer Institute; Barry Graubard, National Cancer Institute
11:05 AM	A Semiparametric Approach to Analyzing Error-Prone Failure Time Outcomes and Exposures Presentation Lillian Boe, University of Pennsylvania; Pamela Shaw, University of Pennsylvania
11:20 AM	Design and Analysis of Two-Phase Samples in Discrete-Time Survival Analysis with Error-Prone Exposures Kyunghee Han, University of Pennsylvania; Thomas Lumley, University of Auckland; Bryan E Shepherd, Vanderbilt University School of Medicine; Pamela Shaw, University of Pennsylvania
11:35 AM	Matched Cohort Studies and Missing Data in Electronic Health Record Data Presentation Alexander Levis, Harvard School of Public Health; Sebastien Haneuse, Harvard T.H. Chan School of Public Health
11:50 AM	Relative Risk Estimation Using Multiple Imputation with Logistic Regression and Discretization Jay Xu, University of California, Los Angeles; Thomas Belin, UCLA
12:05 PM	A Doubly Robust Method to Handle Missing Multilevel Outcome Data with Application to a Cluster-Sampled Population-Based Study Nicole Butera, The University of North Carolina at Chapel Hill; Donglin Zeng, UNC Chapel Hill; Annie Green Howard, The University of North Carolina at Chapel Hill; Penny Gordon-Larsen, The University of North Carolina at Chapel Hill; Jianwen Cai, The University of North Carolina at Chapel Hill

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

204	Mon, 7/29/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Section on Statistics in Epidemiology P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Epidemiology
Organizer(s): Alisa J Stephens-Shields, University of Pennsylvania
ML15:	Statistical Leadership in Team Science Sarah Ratcliffe, University of Virginia

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

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

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

250	Mon, 7/29/2019, 2:00 PM - 3:50 PM	CC-701
Bayesian Modeling, Infectious Diseases and Tracking — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Al Ozonoff, Harvard Medical School
2:05 PM	ARGO2: Accurate, Real-Time Flu Tracking with Internet Search Data Presentation Shaoyang Ning, Harvard University; Shihao Yang, Harvard University; Samuel Kou, Harvard University
2:20 PM	Multiscale Flu Forecasting Presentation Dave Osthus, Los Alamos National Laboratory
2:35 PM	A Hierarchical Approach for Modeling the Dynamics of Emerging Epidemics Ali Arab, Georgetown University
2:50 PM	Tracking Epidemics with Problematic Real-World Data: Ebola in Africa Presentation Loren Cobb, University of Colorado Denver; Ashok Krishnamurthy, Mount Royal University
3:05 PM	Identification of Causal Effects Under Contagion Presentation Xiaoxuan Cai, Yale University; Forrest W Crawford, Yale School of Public Health; Wen Wei Loh, Ghent University
3:20 PM	High-Resolution Estimation of TB Incidence in the United States Among Non-U.S.-Born Populations Andrew Hill, U.S. Centers for Disease Control and Prevention; Nicolas Menzies, Harvard T.H. Chan School of Public Health
3:35 PM	Floor Discussion

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

285 *	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-112
Probabilistic Record Linkage and Inference with Merged Data — Topic Contributed Papers
Section on Statistics in Epidemiology, Social Statistics Section, Survey Research Methods Section
Organizer(s): Mauricio Sadinle, University of Washington
Chair(s): Mauricio Sadinle, University of Washington
8:35 AM	Record Linkage for Public Health Action: a Comparison of Matching Algorithms Presentation Tigran Avoundjian, University of Washington Department of Epidemiology; Julia C Dombrowski, University of Washington; Mauricio Sadinle, University of Washington
8:55 AM	Active Learning for Probabilistic Record Linkage Presentation 1 Presentation 2 Presentation 3 Ted Enamorado, Princeton University
9:15 AM	A Structured Prior for Sequential Bayesian Record Linkage Presentation 1 Presentation 2 Brendan McVeigh, Carnegie Mellon University; Jared S Murray, University of Texas at Austin
9:35 AM	Joint Record Linkage and Duplicate Detection via a Generative Prior on Partitions Presentation Serge Aleshin-Guendel, University of Washington; Mauricio Sadinle, University of Washington
9:55 AM	Semiparametric Inference for Merged Data from Multiple Overlapping Sources Takumi Saegusa, University of Maryland
10:15 AM	Floor Discussion

287 * !	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-113
Advanced Stochastic Models and Inference Methods for Large-Scale Phylogenetics — Topic Contributed Papers
Section on Statistics in Genomics and Genetics, Section on Statistical Computing, Section on Statistics in Epidemiology
Organizer(s): Guy Baele, Rega Institute / KU Leuven
Chair(s): Mandev Gill, Rega Institute, KU Leuven
8:35 AM	Fast and Robust Evolutionary Rate and Selection Pressure Inference Using Variational Bayes Techniques Presentation Sergei Pond, Temple University
8:55 AM	Modeling Site-To-Site Variability of Synonymous Substitution Rates: Impacts on Statistical Inference Spencer Muse, North Carolina State University; Sadie Wisotsky, Temple University; Sergei Kosakovsky Pond, Temple University
9:15 AM	Fitness-Dependent Birth-Death Models for Phylodynamic Inference of Adaptive Evolution Presentation David Rasmussen, North Carolina State University; Tanja Stadler, ETH Zurich
9:35 AM	Towards Realtime Bayesian Inference for Pathogen Phylodynamics Presentation Guy Baele, Rega Institute / KU Leuven; Mandev Gill, Rega Institute, KU Leuven; Philippe Lemey, Rega Institute, KU Leuven; Marc Suchard, UCLA; Andrew Rambaut, University of Edinburgh
9:55 AM	Floor Discussion

309	Tue, 7/30/2019, 8:30 AM - 10:20 AM	CC-110
Advances in Causal Inference — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Danielle Braun, Harvard University
8:35 AM	A Comparison of Different Statistical Approaches to Deal with Model Misspecification and Missing Outcome Data Presentation Veronica Sciannameo, University of Padova; Gian Paolo Fadini, University of Padova; Daniele Bottigliengo, University of Padova; Angelo Avogaro, University of Padova; Ileana Baldi, University of Padova; Dario Gregori, University of Padova; Paola Berchialla, University of Torino
8:50 AM	A Simulation Study on the Performance of AIPW and TMLE in Estimating Parameters of Marginal Structural Models Based on Real-World Longitudinal Data Presentation Dawei Liu, Biogen; John Zhong, Biogen; Carl De Moor, Biogen
9:05 AM	Sensitivity Analysis Statistics for Routine Reporting: The Partial R2 and the Robustness Value Carlos Leonardo Kulnig Cinelli, UCLA; Chad Hazlett, UCLA
9:20 AM	On the Robustness of Doubly Robust Estimators in Causal Inference Presentation Weicong Lyu, University of Wisconsin-Madison; Peter Steiner, University of Wisconsin
9:35 AM	Rethinking Meta-Analysis: Addressing Problems of Non-Transportability When Combining Treatment Effects Across Patient Populations Tat Thang Vo, Ghent University; Stijn Vansteelandt, Ghent University; Raphael Porcher, Centre de Recherche Épidémiologie et StatistiqueS Université de Paris (CRESS-UMR1153)
9:50 AM	Multiple Imputation Strategies for Handling Missing Data When Generalizing Randomized Clinical Trial Findings Through Propensity Score-Based Methodologies Albee Ling, Stanford University; Maya B Mathur, Harvard University; Kris Kapphahn, Stanford University; Maria Montez-Rath , Stanford University; Manisha Desai, Stanford University Quantitative Sciences Unit
10:05 AM	Can We Attribute Suicides to an App? Nonparametric Estimation the Probability of Causation Maria Cuellar, Carnegie Mellon University; Walter Dempsey, Harvard University

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

338	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-103
SPEED: Biostatistical Methods, Application, and Education, Part 1 — Contributed Speed
ENAR, Section on Medical Devices and Diagnostics, Mental Health Statistics Section, Quality and Productivity Section, Section on Statistics in Epidemiology, Section on Bayesian Statistical Science, Section on Risk Analysis, Section on Statistical Graphics, Section on Teaching of Statistics in the Health Sciences
Chair(s): Loren Cobb, University of Colorado Denver
Poster Presentations for this session.
10:35 AM	Impact of Approaches for Clinical and Radiological Monitoring on Predicting of Short-Term and Long-Term Disability Outcomes in Multiple Sclerosis Presentation Brian Healy, Biostatistics Center/Massachusetts General Hospital
10:40 AM	Assessment of Biomarker Strategies in Lung Cancer Management via Net Reclassification Indices Piper Williams, University of Colorado Anschutz Medical Campus; Alexander Kaizer, University of Colorado Anschutz Medical Campus; Anna Barón, University of Colorado Anschutz Medical Campus
10:45 AM	New Results on the Weighted Generalized Score for Comparing Two Correlated Means Presentation Aaron Douglas Jones, Duke University; Andrzej Stanislaw Kosinski, Duke University
10:50 AM	Developing Year-Long Mobile Health Interventions to Improve Mental Health Outcomes Among Medical Interns: Experimental Design and Statistical Methods Presentation Timothy NeCamp, University of Michigan; Zhenke Wu, University of Michigan; Srijan Sen, University of Michigan
10:55 AM	Lowering Sample Size Requirements for Mixture Modeling in Mental Health Research Alessandro De Nadai, Texas State University; Kate Fitzgerald, University of Michigan; Ryan Zamora, Texas State University; Luke Norman, University of Michigan; Tara Little, Texas State University; Joseph Himle, University of Michigan; Kristin Mannella, University of Michigan; Stephan Taylor, University of Michigan
11:00 AM	Psychotherapy Outcomes for Adults with Autism Spectrum Disorder in a University Counseling Setting E. Neeley Tass, Brigham Young University
11:05 AM	Sample Size Calculations in Single-Case Designs Jiabei Yang, Brown School of Public Health; Christopher Schmid, Brown University; Jon Steingrimsson, Brown University
11:10 AM	Importance of Data Quality for National HIV Prevention Program Monitoring and Evaluation Presentation Guoshen Wang, Centers for Disease Control and Prevention; Shubha Rao, The Centers for Disease Control and Prevention ; Hui Zhao, The Centers for Disease Control and Prevention ; Wei Song, The Centers for Disease Control and Prevention ; Carolyn Wright, The Centers for Disease Control and Prevention ; Marc Wiehn, Luther Consulting LLC
11:15 AM	Coffee and Cardiovascular Disease Prevention Anna Wu; Patrick Giuliano, Abbott
11:20 AM	Tolerance Intervals for Autoregressive Models, with an Application to Hospital Waiting Lists Presentation Kedai Cheng; Derek Young, University of Kentucky
11:30 AM	Temporal Association of Prostate and Colon Cancer with World Trade Center Rescue/Recovery Work: a 14 Year Cohort Study Presentation Charles Hall, Albert Einstein College of Medicine; David Goldfarb, Montefiore Medical Center ; Rachel Zeig-Owens, Montefiore Medical Center ; David Prezant, Fire Department of the City of New York
11:35 AM	Age-Period-Cohort Analysis of Lead Body Burden in the United States, 1976-2016 Yutaka Aoki, National Center for Health Statistics
11:40 AM	Optimality in Group Testing Estimation with Misclassification Md. S. Sarker, Radford University
11:45 AM	Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates Presentation Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
11:50 AM	A Bayesian Zero Inflated Binomial Model for Repeated Measures Count Data Benjamin W. Rogers, UCLA
11:55 AM	Predicting the Absolute Risk of Undetected Uterine Cancer in a Matched Case-Control Study Catherine Lee, Kaiser Permanente Division of Research; Scott E. Lentz, , The Southern California Permanente Medical Group, Los Angeles; Eve Zaritsky, The Permanente Medical Group, Oakland California; Lue-Yen Tucker, The Division of Research, Kaiser Permanente Northern California; Tina Raine-Bennett, Oakland California and The Division of Research, Kaiser Permanente Northern California
12:00 PM	Experiences with Incorporating R into a Second-Level Biostatistics Course for MPH Students Presentation Christine Mauro, Columbia University; Nicholas Williams, Columbia University; Anjile An, Columbia University
12:05 PM	Rank-Based Approach for Estimating Correlations in Mixed Ordinal Data Xiaoyun Quan; James Booth, Cornell University; Martin Wells, Cornell University
12:10 PM	Pre-Conceptions of Statistical Inference in Biostatistics Presentation Aimee Schwab-McCoy, Creighton University

339	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-105
SPEED: Biopharmaceutical and General Health Studies: Statistical Methods and Applications, Part 1 — Contributed Speed
Biopharmaceutical Section, Section on Statistics in Epidemiology, Section on Bayesian Statistical Science, Health Policy Statistics Section, ENAR
Chair(s): Sedigheh Mirzaei Salehabadi, St. Jude Children's Research Hospital
Poster Presentations for this session.
10:35 AM	Mediation Analysis for Longitudinal Data with Applications to Clinical Trial Data Yun Zhang
10:40 AM	Adjusting Response Adaptive Allocation for Subject Dropout Presentation Katharine Stromberg, Virginia Commonwealth University; Adam Sima, Virginia Commonwealth University
10:45 AM	The Use of a New Classifier to Maximize the Classification Performance Presentation Hua Ma, Merck; Joe Heyse, Merck
10:50 AM	Reproducibility of Living Data - Validation of Published Research Using the Parkinson’s Progression Marker Initiative Living Database Elliot Burghardt, University of Iowa; Christopher Coffey, University of Iowa; Chelsea Caspell-Garcia, University of Iowa; Eric Foster, Ferring Pharmaceuticals
10:55 AM	Blinding in Open Label Study with Adaptive Design Presentation Bo Xu, Boston Biomedical Inc; Bo Jin, Boston Biomedical Inc; Alex Dmitrienko, Mediana Inc
11:00 AM	Estimating the Relative Risk for Response-Biased Samples: Calibration and Conditional Likelihood Presentation 1 Presentation 2 Presentation 3 Presentation 4 Claudia Rivera-Rodriguez, University of Auckland
11:05 AM	Another Estimation Method Besides MMRM for Treatment Effects in Diabetes Clinical Trials Presentation Yu Du, Eli Lilly and Company
11:10 AM	Criteria for Choosing a Futility Method for Clinical Studies Presentation Richard McNally, Covance-Chiltern
11:15 AM	Random Forests for Exploring Factors Driving Opioid Prescribing in National Outpatient Health Care Data Using Complex Survey Design Presentation Yong Ma, FDA; JaeJoon Song, FDA
11:20 AM	An Adaptive Phase II Dose Finding Study Using Sample Size Re-Estimation Design Qingyang Liu, University of Connecticut; Guanyu Hu, University of Connecticut; Yaoshi Wu, Boehringer-Ingelheim ; Binqi Ye, Boehringer-Ingelheim; Susan Wang, Boehringer-Ingelheim
11:30 AM	Sieve Maximum Likelihood Method for Interval-Censored Data with Missing Covariates Under Proportional Hazards Model Ruiwen Zhou, University of Missouri-Columbia; Huiqiong Li, Yunnan University; (Tony) Jianguo Sun, University of Missouri
11:35 AM	Quantifying the Number of Events Borrowed from External Data in Hybrid Control Arms Presentation Brian Segal, Flatiron Health; Carrie Bennette, Flatiron Health; Somnath Sarkar, Flatiron Health
11:40 AM	Characterizing Irreproducibility in Drug Sensitivity Data from a Large Pharmacogenomic Study Zoe Rehnberg, University of Michigan; Johann A Gagnon-Bartsch, University of Michigan
11:45 AM	Closest Similar Subset Imputation Macaulay Okwuokenye, Brio Dexteri Pharmaceutical Consultant & UNE; Karl E Peace, Georgia Southern University
11:50 AM	Planning and Analyzing Clinical Trials with Competing Risks: Recommendations for Choosing Appropriate Statistical Methodology Presentation Misun Yu Lee, Astellas Pharma; Joseph Poythress, University of Georgia; James Young, Astellas Pharma
11:55 AM	Estimating and Using the Attained Power Distribution to Ensure We Get the Trial Power We Expect Yongdong Ouyang, University of British Columbia; Hubert Wong, University of British Columbia; Ehsan Karim, University of British Columbia; Paul Gustafson, University of British Columbia
12:00 PM	Bayesian Semiparametric Joint Modeling of Longitudinal Predictors and a Binary Outcome Presentation 1 Presentation 2 Presentation 3 Presentation 4 Presentation 5 Presentation 6 Woobeen Lim, The Ohio State University; Michael Pennell, Ohio State University
12:05 PM	Clustering of Multivariate Data with Varying Dimensions Presentation Xiaoqi Lu, Columbia University; Bin Cheng, Columbia University; Ying Kuen Ken Cheung, Columbia University
12:10 PM	Floor Discussion

358	Tue, 7/30/2019, 10:30 AM - 12:20 PM	CC-Hall C
Contributed Poster Presentations: Section on Statistics in Epidemiology — Contributed Poster Presentations
Section on Statistics in Epidemiology
Chair(s): Wendy Meiring, University of California At Santa Barbara
55:	Evaluating Medication Adherence Using Self-Report and Medication Refills in Treating Complex Chronic Conditions Andrew Nicholson, VA NY Harbor Healthcare System Research & Development Service
57:	Application of Variance Analysis to Proficiency Test Data from CDC Lead and Multi-Element Proficiency (LAMP) Program Po-Yung Cheng, CDC; Kathryn Vance, CDC; Cynthia Ward, CDC; Robert Jones, CDC; Amir Makhmudov, CDC
58:	Workplace Interventions and Attitudes Associated with Influenza Vaccination Coverage Among Health Care Personnel in Home Health Care Settings, 2016-17 and 2017-18 Influenza Seasons Xin Yue, Leiods Inc./Centers for Disease Control and Prevention; Barbara Bardenheier, Centers for Disease Control and Prevention; Carla Black, Centers for Disease Control and Prevention; Sarah Ball, Abt Associates Inc; Marie A. de Perio, Centers for Disease Control and Prevention; Anthony Scott Laney, Centers for Disease Control and Prevention
59:	The Concordance of Chronic Conditions Between Survey Reports and Medicare Claims in Older Mexican Americans Lin-Na Chou, The University of Texas Medical Branch; Yong-Fang Kuo, The University of Texas Medical Branch; Kenneth John Ottenbacher, The University of Texas Medical Branch; Soham Al Snih, The University of Texas Medical Branch
60:	A Unified Framework of Longitudinal Models to Examine Reciprocal Relations Satoshi Usami, University of Tokyo
61:	Optimal Subclassification via Propensity Scores Using Graphical Presentations Eiji Nakatani, Shizuoka General Hospital; Sho Komukai, Osaka University Graduate School of Medicine; Takanobu Nomura, Kyoto University Graduate School of Medicine
62:	USING NET BENEFIT CURVES for BUILDING a MODEL PERFORMANCE MEASURE for EXAMINING CLINICAL USEFULNESS Anwesha Mukherjee, Merck & Co Inc; Daniel L. McGee, Florida State University
63:	A New Perspective on Modeling Count Time Series Data Matheus Bartolo Bartolo Guerrero, KAUST; Wagner Barreto-Souza, Universidade Federal de Minas Gerais; Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
64:	The Effect of Missing Industry and Occupation Codes on the Assessment of Health Outcomes in the 2016 Behavioral Risk Factor Surveillance System (BRFSS) Survey Jia Li, NIOSH; Matthew Groenewold, NIOSH; Sara E. Luckhaupt, NIOSH; Marie H. Sweeney, NIOSH; James M. Boiano, NIOSH
65:	Identifying Spatio-Temporal Variation in Breast Cancer Incidence Among Different Age Cohorts Using Bayesian Hierarchical Modeling Amy Hahn, University of Iowa; Jacob J Oleson, University of Iowa; Alexandra Thomas, Wake Forest University School of Medicine; Kristin Conway, University of Iowa; Kathleen Stewart, University of Maryland; Charles Lynch, University of Iowa; Paul Romitti, University of Iowa
66:	A Comparison of Statistical Causal Inference Methods for Animal Health Applications Ju Ji, Iowa State University; Chong Wang, Iowa State University; Zhulin He, Iowa State University; Karen Hay, QIMR Berghofer Medical Research Institute; Tamsin Barnes, The University of Queensland; Annette O'Connor, Iowa State University
67:	Matching Design-Based Subpopulation Effect Estimation in Observational Studies YUYANG ZHANG, The Ohio State University; Bo Lu, The Ohio State University
68:	Generalizing Study Results with Latent Propensity Score Weighting Chenxiang Li, NYU School of Medicine; Andrea B Troxel, NYU School of Medicine
69:	Comparison of Parameter Estimates from Optimal Dynamic Treatment Rule-Based Adaptive Designs Lina Montoya, University of California, Berkeley; James Roose, University of California, Berkeley; Mark van der Laan, UC Berkeley
70:	Cox and Aalen Models in Action – a Series of Case Studies from Clinical Epidemiology Susanne Strohmaier, CeMSIIS, Medical University of Vienna; Heinze Georg, CeMSIIS, Medical University of Vienna
72:	Evaluation of the Impact of Antimicrobial Hand Towels on Hand Contamination with Escherichia Coli Among Mothers in Kisumu County, Kenya, 2011-2012 Sunkyung Kim, Centers for Disease Control and Prevention; Allison C Brown, Centers for Disease Control and Prevention; Jennifer Murphy, Centers for Disease Control and Prevention; Jared Oremo, Safe Water and AIDS Project; Quick Rob, Centers for Disease Control and Prevention; Mercy Owuor, Safe Water and AIDS Project; Bobbie Person, Centers for Disease Control and Prevention
73:	Statistical Issues for Latent Class Analysis Tzu-Cheg Kao, Uniformed Services University of the Health Sciences
74:	Spatiotemporal Trends of Stage-Specific Incidence Rate of Non-Small Cell Lung Cancer (NSCLC) in New York State (1995-2015) Kaylee Ho, Weill Cornell Medicine; Bian Liu, Icahn School of Medicine at Mount Sinai
75:	Estimating Outcome-Exposure Associations When Exposure Biomarker Detection Limits Vary Across Batches Jonathan Boss, University of Michigan; Bhramar Mukherjee, University of Michigan; Kelly K. Ferguson, National Institute of Environmental Health Sciences; Amira M. Aker, University of Michigan; Akram N. Alshawabkeh, Northeastern University; Jose F. Cordero, University of Georgia; John D. Meeker, University of Michigan; Sehee Kim, University of Michigan
76:	Estimating the Causal Effect of Digoxin on Adverse Events in LVAD Patients Using Marginal Structural Models Katherine Hoffman, Weill Cornell Medicine; Ivan Diaz, Weill Medical College, Cornell University; Alberto Pinsino, Columbia University Medical Center; Paolo Colombo, Columbia University Medical Center; Melana Yuzefpolskaya, Columbia University Medical Center; Antonia Gaudig, Columbia University Medical Center; Eugene Royzman, Columbia University Medical Center; Melissa Mabasa, Columbia University Medical Center; Giulio Mondellini, Columbia University Medical Center
77:	Social Network Analysis to Examine Physician Use of Minimally Invasive Breast Biopsy Figaro Loresto, Children's Hospital Colorado; Daniel Jupiter, University of Texas Medical Branch
78:	Statistical and Epidemiological Challenges in Using the NHANES Assessment of Oral Human Papillomavirus Infection to Study Risk of Infection and of Oropharyngeal Cancer in the US Barry Graubard, National Cancer Institute; Anil Chaturvedi, National Cancer Institute; Joseph Tota, National Cancer Institute; Hormuzd Katki, US National Cancer Institute; Maura Gillison, MD Anderson
79:	Forecasting Vector-Borne Disease in the United States Maddy St. Ville, Clemson University; Christopher McMahan, Clemson University; Stella Self, Clemson University
80:	Lung Cancer Mortality in Chile Maria Gloria Icaza, Universidad De Talca
81:	Estimating CACE in Meta-Analysis of RCTs with Binary Outcome Accounting for Noncompliance: a Generalized Linear Mixed Model Approach Ting Zhou, Sichuan University/University of Minnesota; Jincheng Zhou, University of Minnesota; JIM HODGES, UNIVERSITY OF MINNESOTA; Lifeng Lin, Florida State University; Yong Chen, University of Pennsylvania; Stephen R. Cole, UNC Gillings School of Global Public Health; Haitao Chu, University of Minnesota
82:	Effects of Treatment Classifications in Network Meta-Analysis Aiwen Xing; Lifeng Lin, Florida State University
83:	What’s the Optimal Number to Match in a Propensity Score Matched Case-Control Study? Paul Nakonezny, UT Southwestern Medical Center; Abu Minhajuddin
84:	A Comparison of Semiparametric Approaches to Model Nonlinear Outcome Trajectories in the Presence of Nonignorable Dropout Andrew Hammes, University of Colorado-Biostatistics; Samantha MaWhinney, University of Colorado Anschutz Medical Campus; Nichole E Carlson, University of Colorado Anschutz; Peter DeWitt, University of Colorado - Biostatistics; Jeri Forster, University of Colorado - Biostatistics
85:	Bayesian Hierarchical Modeling for Under-Reported Spatial Count Data Jinjie Chen, Baylor University; James D Stamey, Baylor University; Joon Jin Song, Baylor University
86:	On the Performance of Various Risk-Scoring Approaches Yared Gurmu; Jeong-Gun Park, Brigham and Women's Hospital; Francesco Nordio, Brigham and Women's Hospital; Kyungah Im, Brigham and Women's Hospital; Jing Qian, University of Massachusetts Amherst
87:	Common Data Elements for the Longitudinal Study of Glioma Laila Poisson
88:	Evaluating Heterogeneity in the Effect of Reduced Nicotine Content Cigarettes Chuyu Deng, University of Minnesota-Div of Biostatistics
89:	Controlling the False Discovery Proportion: a Simulation Study HARLAN MCCAFFERY, University of Michigan; Chi Chang, Michigan State University
99:	A Feasible Solution Algorithm for Identifying Pareto-Based Multi objective Solutions For Subset Selection Joshua Lambert, University of Cincinnati; Greg Hawk, University of Kentucky; Katie Thompson, University of Kentucky; Arnold Stromberg, University of Kentucky

370	Tue, 7/30/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Section on Statistics in Epidemiology P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Epidemiology
Organizer(s): Alisa J Stephens-Shields, University of Pennsylvania
TL14:	Principles of Electronic Health Record 101 for Statisticians Debashis Ghosh, University of Colorado Anschutz Medical Campus

CE_28C	Tue, 7/30/2019, 1:00 PM - 5:00 PM	CC-303
Understanding and Tackling Measurement Error: a Whistle Stop Tour of Modern Practical Methods (ADDED FEE) — Professional Development Continuing Education Course
ASA, Section on Statistics in Epidemiology
Instructor(s): Pamela Shaw, University of Pennsylvania; Paul Gustafson, University of British Columbia
Measurement error and misclassification of variables is frequently encountered in epidemiology and involve variables of considerable importance in public health such as dietary intakes, physical activity, smoking, and environmental pollutants. Further, the rising interest in research with electronic health records has brought new challenges and renewed interest in robust and practical methods to address error prone exposures and outcomes. If not handled properly, analyses of error-prone data can lead to biases associations of interest. This course discusses the issues raised by measurement error and practical approaches for analysis that mitigate its effects. Our aim is that participants gain the knowledge and confidence to understand the effects of measurement error and to apply techniques for measurement error correction in their own work. The emphasis will be on practical application and worked examples will be used throughout. Examples will be given using the R software. The course will begin with a discussion of the effects of measurement error in regression analyses. Focus will then move to techniques for mitigating those effects via statistical analysis and study design. Several methods will be introduced, including regression calibration, simulation extrapolation (SIMEX), likelihood-based methods, and Bayesian methods. The primary focus will be on measurement error in explanatory covariates, but error in response variables will also be discussed. Issues arising from different types of error and study design will also be covered. The session will draw on the work of the STRengthening Analytical Thinking for Observational (STRATOS) Initiative’s measurement error topic group, which is led by Professor Laurence Freedman and Dr Victor Kipnis.
1:00 PM	Understanding and Tackling Measurement Error: a Whistle Stop Tour of Modern Practical Methods (ADDED FEE) Pamela Shaw, University of Pennsylvania; Paul Gustafson, University of British Columbia

375 * !	Tue, 7/30/2019, 2:00 PM - 3:50 PM	CC-107
Modern Statistical Methods for Comparative Effectiveness Research — Invited Papers
Section on Statistics in Epidemiology, Health Policy Statistics Section, ENAR
Organizer(s): Liangyuan Hu, Icahn School of Medicine at Mount Sinai
Chair(s): Liangyuan Hu, Icahn School of Medicine at Mount Sinai
2:05 PM	Balancing Weights for Causal Inference: Theory and Practice Presentation Fan Li, Duke University
2:30 PM	Model-Assisted Sensitivity Analysis for Hidden Bias in CER Bo Lu, The Ohio State University; Giovanni Nattino, The Ohio State University
2:55 PM	Errors in Electronic Health Records: What Two Phase Sampling Teaches Us About Data Validation Bryan E Shepherd, Vanderbilt University School of Medicine; Gustavo Amorim, Vanderbilt University; Ran Tao, Vanderbilt University Medical Center; Sarah Lotspeich, Vanderbilt University; Pamela Shaw, University of Pennsylvania
3:20 PM	Incorporating Information from a Network of Personalized Trials to Facilitate Individualized Treatment Choice Presentation Christopher Schmid, Brown University
3:45 PM	Floor Discussion

218896	Tue, 7/30/2019, 4:30 PM - 6:00 PM	H-Limestone Boardroom
Section on Statistics in Epidemiology Executive Board Meeting — Other Cmte/Business
Section on Statistics in Epidemiology
Chair(s): Kathleen Jablonski, George Washington University

218897	Tue, 7/30/2019, 6:00 PM - 6:30 PM	H-Mineral Hall C
Section on Statistics in Epidemiology Open Business Meeting — Other Cmte/Business
Section on Statistics in Epidemiology
Chair(s): Kathleen Jablonski, George Washington University

218924	Tue, 7/30/2019, 6:30 PM - 8:30 PM	H-Mineral Hall C
Awards Ceremony for the Section on Statistics in Epidemiology — Other Cmte/Business
Section on Statistics in Epidemiology
Chair(s): Kathleen Jablonski, George Washington University

438 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-106
Missing Data Issues in Public Health Studies and Survey Sampling in the Era of Data Science — Invited Papers
Section on Statistics in Epidemiology, ENAR, Survey Research Methods Section
Organizer(s): Peisong Han, University of Michigan
Chair(s): Peisong Han, University of Michigan
8:35 AM	Multilevel Multiple Imputation for Electronic Health Record and Survey Data: Your Flexible Friend Presentation James Robert Carpenter, London School of Hygiene & Tropcial Medicine; Matteo Quartagno, London School of Hygiene & Tropcial Medicine
9:00 AM	New Predictive Mean Matching Imputation Methods for Cluster Randomized Trials Presentation Brittney Bailey, Amherst College; Rebecca Andridge, The Ohio State University College of Public Health
9:25 AM	IT's NOT ALL ABOUT BIG DATA, but SOME of it IS Presentation Thomas Louis, Johns Hopkins Bloomberg SPH
9:50 AM	Robust 'Squared' Estimators to Account for Selection Bias Due to Death in Estimating the Effect of Wealth Shock on Cognition for the Health Retirement Study Presentation Yaoyuan Vincent Tan, Rutgers University; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute; Lindsay Pool, Northwestern University
10:15 AM	Floor Discussion

443 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-301
Making an Impact on Physical Activity and Sleep Research by Developing New Statistical Methods — Invited Papers
Korean International Statistical Society, Section on Statistics in Epidemiology, Section on Medical Devices and Diagnostics
Organizer(s): Jungwha Julia Lee, Northwestern University
Chair(s): Kwang-Youn Kim, Northwestern University
8:35 AM	Processing Accelerometer Data with an Automated Algorithm – an R Package ‘PhysicalActivity’ Presentation Leena Choi, Vanderbilt University Medical Center; Cole Beck, Vanderbilt University Medical Center; Zhouwen Liu, Vanderbilt University Medical Center; Maciej S Buchowski, Vanderbilt University Medical Center
8:50 AM	Sample Integrity in Physical Activity Experiments: R 'Accelmissing' Jung Ae Lee, University of Arkansas
9:05 AM	Accelerometry Data: From Millivolts to Counts Jiawei Bai, Johns Hopkins University
9:20 AM	New Methodology for Characterizing Circadian Rhythms in Actigraphy Data Collected from a Wearable Device Presentation Paul Albert , National Cancer Insititute; Sungduk Kim, NIH
9:35 AM	Integrative Analysis of Domains of Physical Activity, Sleep, and Circadian Rhythmicity Collected by Wearables Junrui Di, Johns Hopkins Bloomberg School of Public Health; Vadim Zipunnikov, Johns Hopkins University
9:50 AM	Improving Sleep Classification Using Multivariate Actigraphy Measures Haochang Shou, University of Pennsylvania
10:05 AM	Floor Discussion

447 * !	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-201
Recent Advances in Propensity Score Methods for Observational Studies with Multiple Treatments — Invited Papers
Health Policy Statistics Section, Biopharmaceutical Section, Section on Statistics in Epidemiology
Organizer(s): Elande Baro, US Food and Drug Administration; Jessica Kim, US Food and Drug Administration
Chair(s): Jessica Kim, US Food and Drug Administration
8:35 AM	Generalized Propensity Score Matching: Updates and Challenges Toward Establishing Best Practices Douglas Faries, Eli Lilly & Company; Zhanglin Cui, Eli Lilly & Company; Li Li, Eli Lilly & Company; Shu Yang, North Carolina State University; Shuhan Tang, The Ohio State University
9:00 AM	Approximate Bayesian Bootstrap Procedures to Estimate Multilevel Treatment in Observational Studies with Application to Type 2 Diabetes Treatment Regimens Presentation Roee Gutman, Brown University; Anthony D. Scotina, Simmons University; Robert J Smith, Brown University; Andrew R Zullo, Brown University
9:25 AM	Utility of Regression Splines for Propensity Score Adjustment in Post Market Safety Analyzes with Multiple Treatments Elande Baro, US Food and Drug Administration; Yuxi Tian, University of California Los Angeles; Rongmei Zhang, Food and Drug Administration; Yuqin Wei, Acumen LLC; Mao Hu, Acumen LLC; Jiemin Liao, Acumen LLC; Sandia Akhtar, Acumen LLC; Michael Wernecke, Acumen LLC; Jeffrey Kelman, Centers for Medicare & Medicaid Services; David Graham, Acumen LLC
9:50 AM	Discussant: Jessica M Franklin, Brigham and Women’s Hospital and Harvard Medical School
10:00 AM	Discussant: Yi Huang, University of Maryland Baltimore Country
10:10 AM	Floor Discussion

464	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-105
SPEED: Infectious Diseases, Spatial Modeling and Environmental Exposures, Speed 1 — Contributed Speed
Section on Statistics in Epidemiology
Chair(s): Nancy L Murray, Emory University
Poster Presentations for this session.
8:35 AM	Zoster Vaccine Live Coverage Among Adults 50-59 and ?60 Years in the United States, 2013-2017 Pengjun Lu, CDC; Mei-Chuan Hung, CDC; Anup Srivastav, Centers for Disease Control and Prevention/Leidos Inc; Walter W Williams, Centers for Disease Control and Prevention; Kathleen Dooling, CDC
8:40 AM	Cost-Effective Analysis for Influenza Vaccination Coverage and Timing in Tropical and Subtropical Climate Settings: a Modeling Study Presentation Mu Yue, National University of Singapore
8:45 AM	Assessing the Association Between Sex Ratio and Dowry Deaths in Uttar Pradesh Using Spatio-Temporal Random Effects Models Tomas Goicoa, Public University of Navarre; MARIA DOLORES UGARTE, PUBLIC UNIVERSITY OF NAVARRE; Aritz Adin, Public University of Navarre; JIM HODGES, UNIVERSITY OF MINNESOTA
8:50 AM	Small Area Estimation for Small Groups Diba Khan, CDC; Brady Hamilton, CDC; Andrew B Lawson, Medical University of South Carolina ; Yulei He, CDC
8:55 AM	Bayesian Compartmental Model for an Infectious Disease with Multiple Infectious States Presentation Marie Ozanne, University of Iowa
9:00 AM	Small Area Estimation of HIV Incidence Using Bayesian Hierarchical Model Ben Sheng, Penn State University; Le Bao, Pennsylvania State University; Ray Shiraishi, CDC; Steven Gutreuter, CDC; Jeffrey Eaton, Imperial College London
9:05 AM	Source-Specific Contributions of Particulate Matter to Asthma-Related Emergency Department Utilization Presentation Mohammad Alfrad Nobel Bhuiyan , Cincinnati Children's Hospital Medical Center; Cole Brokamp, Cincinnati Children's Hospital Medical Center
9:10 AM	Spatial Point Processes and Temporal Inferences Using Moran Statistics Norou Diawara, Old Dominion University; Jennifer Lorio, Old Dominion University
9:15 AM	Using Social Contact Data to Improve the Overall Effect Estimate of a Cluster-Randomized Influenza Vaccination Program in Senegal Gail Potter, The Emmes Corporation; Nicole Carnegie, Montana State University; Jonathan Sugimoto, Fred Hutchinson Cancer Research Center; Aldiouma Diallo, Institut de Recherche pour le Developpement; John C Victor, PATH; Kathleen Neuzil, University of Maryland; M Elizabeth Halloran, University of Washington and Fred Hutchinson Cancer Research Center
9:20 AM	Detecting Hierarchical Geographical Clusters of Disease Using Heterogeneity Patterns of Varying Incidence Intensity Chih-Chieh Wu, National Cheng Kung University; Sanjay Shete, UT MD Anderson Cancer Center
9:30 AM	Functional Central Limit Theorem for Susceptible-Infected Process on Configuration Model Graphs Wasiur R. KhudaBukhsh, Ohio State University; Casper Woroszylo, BHP Billiton; Grzegorz A. Rempa?a, Ohio State University; Heinz Koeppl, TU Darmstadt
9:35 AM	Subsemble Estimation for Multivariate Spatial Models Presentation Mark May, Creighton University; Joey Higgins, Creighton University; Aimee Schwab-McCoy, Creighton University
9:40 AM	A Bayesian Hierarchical Model for Generating Fully Synthetic Point Process Data Presentation Adam Walder
9:45 AM	Evaluation of Semiparametric Single Index Model for Characterizing Effects of Correlated Exposures Yuyan Wang, New York University; Mengling Liu, New York University
9:50 AM	Estimate Booster Vaccination Effect on the Distribution of Antibody Level Using Mixture Model Li Deng, Centers for Disease Control and Prevention
9:55 AM	A Method for High-Dimensional Variable Selection in Presence of Collinearity Jiyeong Jang, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
10:00 AM	Transporting Cross-Sectional Incidence Estimation Algorithms Between Populations Presentation Douglas Morrison, UCLA; Oliver Laeyendecker, Johns Hopkins University; Ron Brookmeyer, UCLA
10:05 AM	A Comparison of Spatial Scan Methods for Cluster Detection Presentation Mohammad Meysami, University of Colorado Denver; Joshua French, University of Colorado Denver; Lauren M Hall, University of Colorado Denver; Minh Chau Nguyen, University of Colorado Denver; Lee Panter, University of Colorado Denver; Nicholas Weaver, University of Colorado Denver
10:10 AM	A Multivariate Spatio-Temporal Model of the Opioid Epidemic in Ohio: a Factor Model Approach David Kline, The Ohio State University; Yixuan Ji, Wake Forest University; Staci Hepler, Wake Forest University
10:15 AM	Floor Discussion

472	Wed, 7/31/2019, 8:30 AM - 10:20 AM	CC-107
Statistical Methods for Causal Inference — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Charles Hall, Albert Einstein College of Medicine
8:35 AM	A Two-Stage Estimation Procedure for Nonlinear Structural Equation Models Presentation Esben Budtz-Jorgensen, University of Copenhagen Dept. of Biostat; Klaus Holst, Mærsk
8:50 AM	Bayesian Kernel Machine Causal Mediation Analysis Katrina Devick, Harvard TH Chan School of Public Health; Jennifer F Bobb, Kaiser Permanente Washington Health Research Institute; Maitreyi M Mazumdar, Boston Children's Hospital; Birgit Claus Henn, Boston University School of Public Health; David C Bellinger, Boston Children's Hospital; David C Christiani, Harvard TH Chan School of Public Health; Robert O Wright, Icahn School of Medicine at Mount Sinai; Paige L Williams, Harvard TH Chan School of Public Health; Brent A. Coull, Harvard T. H. Chan School of Public Health; Linda Valeri, Columbia University Mailman School of Public Health
9:05 AM	Detecting Heterogeneous Treatment Effect with Instrumental Variables in Causal Inference Presentation 1 Presentation 2 Michael Johnson, University of Wisconsin-Madison; Hyunseung Kang, University of Wisconsin-Madison
9:20 AM	Weak-Instrument Robust Estimators and Tests for Two-Sample Summary Mendelian Randomization Sheng Wang , University of Wisconsin-Madison; Hyunseung Kang, University of Wisconsin-Madison
9:35 AM	An Evaluation of Model-Based and Design-Based Variance Estimators in Completely Randomized Experiments Presentation 1 Presentation 2 Stanley Lubanski, University of Wisconsin-Madison; Peter Steiner, University of Wisconsin
9:50 AM	Contamination in Stepped-Wedge Randomized Trials and Its Impact on Public Health Interventions Lior Rennert, Clemson University; Moonseong Heo, Clemson University; Victor De Gruttola, Harvard T.H. Chan School of Public Health
10:15 AM	Floor Discussion

487 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-111
Spatio-Temporal Statistics in Health Applications — Invited Papers
ENAR, Section on Statistics in Epidemiology, Section on Statistics and the Environment
Organizer(s): Abhi Datta, Johns Hopkins Bloomberg School of Public Health
Chair(s): Abhi Datta, Johns Hopkins Bloomberg School of Public Health
10:35 AM	Using Air Quality Data Fusion Products for Epidemiological Research Presentation Howard Chang, Emory
11:00 AM	A Multivariate Spatio-Temporal Model for Dengue, Zika, and Chikungunya Outbreaks in Rio De Janeiro, Brazil Alexandra Schmidt, McGill University
11:25 AM	A Unified Exposure Prediction Approach for Multivariate Spatial Data Roman Jandarov, University of Cincinnati College of Medicine; Zheng Zhu, University of Cincinnati College of Medicine
11:50 AM	Estimating and Explaining Spatially Varying Seasonal Cycles of RSV Matthew Heaton, Brigham Young University; Celeste Ingersoll, Brigham Young University; Brian Hartman, Brigham Young University; Candace J. Berrett, Brigham Young University; Chantel Sloan, Brigham Young University
12:15 PM	Floor Discussion

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

498 * !	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-505
Designs and Statistical Methods Used in Genetics and Mental Health for Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS) — Topic Contributed Papers
Mental Health Statistics Section, Section on Statistics in Genomics and Genetics, Section on Statistics in Epidemiology
Organizer(s): Tzu-Cheg Kao, Uniformed Services University of the Health Sciences
Chair(s): Tzu-Cheg Kao, Uniformed Services University of the Health Sciences
10:35 AM	Genome-Wide Association Studies of PTSD in 2 Cohorts of US Army Soldiers Presentation Steven Heeringa, University of Michigan Institute for Social Research
10:55 AM	Genome Wide Association Studies of Suicide Attempts in US Soldiers Erin Ware; Murray B. Stein, UCSD; Colter M Mitchell, University of Michigan; Chia-Yen Chen, Broad Institute of MIT and Harvard; Jordan W Smoller, Harvard Medical School
11:15 AM	A Genome-Wide Gene-By-Trauma Interaction Study of Alcohol Misuse in Two Independent Cohorts Identifies PRKG1 as a Risk Locus Presentation Renato Polimanti; Joan Kaufman, Johns Hopkins School of Medicine; Hongyu Zhao, Yale; Henry R. Kranzler, University of Pennsylvania School of Medicine; Robert J Ursano, Uniformed Services University of the Health Sciences; Ron Kessler, Harvard Medical School; Joel Gelernter, Yale University; Murray B. Stein, UCSD
11:35 AM	Discussant: Tamar Sofer, Brigham and Women’s Hospital, Harvard Medical School
11:55 AM	Discussant: Wei-Ting Hwang, University of Pennsylvania
12:15 PM	Floor Discussion

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

518	Wed, 7/31/2019, 10:30 AM - 12:20 PM	CC-110
Statistical Methods for Complex Interactions and Genetic and Environmental Epidemiology — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Laura Boehm Vock, Gustavus Adolphus College
10:35 AM	Screening of Interaction Effects for Prediction Modeling of Environmental Chemical Mixture Exposures Li Luo, University of New Mexico
10:50 AM	Interaction of a Mixture of Lead, Mercury, Arsenic, Cadmium, Aluminum, and Manganese with GSTP1 in Relation to Autism Spectrum Disorder in Jamaican Children Mohammad Rahbar, Center for Clinical & Translational Sciences-UTHealth; Maureen Samms-Vaughan, The University of the West Indies; MinJae Lee, University of Texas McGovern Medical School; Jing Zhang, School of Public Health-UTHealth; MacKinsey A. Bach, Center for Clinical & Translational Sciences-UTHealth; Jan Bressler, Division of Epidemiology,Human Genetics,and Environmental,School of Public Health-UTHealth; Manouchehr Hessabi, Center for Clinical & Translational Sciences-UTHealth; Megan L. Grove, Human Genetics Center, School of Public Health-UTHealth; Sydonnie Shakespeare-Pellington, The University of the West Indies; Compton Beecher, The University of the West Indies; Wayne McLaughlin, Caribbean Genetics (CARIGEN), The University of the West Indies; Katherine A. Loveland, McGovern Medical School-UTHealth
11:05 AM	A Rare Haplotype Association Method for Two Correlated Binary Phenotypes Presentation Swati Biswas, University of Texas at Dallas; Xiaochen Yuan, University of Texas at Dallas
11:20 AM	JointMM: Joint Modeling of Longitudinal Microbiome and Time-To-Event Data with Application to a Type I Diabetes Study Jiyuan Hu, New York Unversity School of Medicine; Chan Wang, Division of Biostatistics, NYU School of Medicine; Martin Blaser, New York University School of Medicine and Rutgers University; Huilin Li, NYU School of Medicine
11:35 AM	Autoregressive Zero Inflated Mixed-Effect Model on Time Series Microbiome Data Presentation Linchen He, New York University; Huilin Li, NYU School of Medicine
11:50 AM	Discover Optimal Logic Rules as Complex Interaction in Longitudinal Study Presentation Tan Li, Florida International University; Wensong Wu, Florida Internation University; Ingrid Gonzalez, Florida International University
12:05 PM	Bayesian Sparse Functional Principal Components Analysis Models Dynamic Temporal Changes in Longitudinal Microbiome Studies Lingjing Jiang, University of California, San Diego; Wesley Kurt Thompson, University of California, San Diego; Rob Knight, UC San Diego

520	Wed, 7/31/2019, 10:30 AM - 11:15 AM	CC-Hall C
SPEED: Infectious Diseases, Spatial Modeling and Environmental Exposures, Speed 2 — Contributed Poster Presentations
Section on Statistics in Epidemiology
Chair(s): Nancy L Murray, Emory University
Oral Presentations for this session.
21:	Zoster Vaccine Live Coverage Among Adults 50-59 and ?60 Years in the United States, 2013-2017 Pengjun Lu, CDC; Mei-Chuan Hung, CDC; Anup Srivastav, Centers for Disease Control and Prevention/Leidos Inc; Walter W Williams, Centers for Disease Control and Prevention; Kathleen Dooling, CDC
22:	Cost-Effective Analysis for Influenza Vaccination Coverage and Timing in Tropical and Subtropical Climate Settings: a Modeling Study Mu Yue, National University of Singapore
23:	Assessing the Association Between Sex Ratio and Dowry Deaths in Uttar Pradesh Using Spatio-Temporal Random Effects Models Tomas Goicoa, Public University of Navarre; MARIA DOLORES UGARTE, PUBLIC UNIVERSITY OF NAVARRE; Aritz Adin, Public University of Navarre; JIM HODGES, UNIVERSITY OF MINNESOTA
24:	Small Area Estimation for Small Groups Diba Khan, CDC; Brady Hamilton, CDC; Andrew B Lawson, Medical University of South Carolina ; Yulei He, CDC
25:	Bayesian Compartmental Model for an Infectious Disease with Multiple Infectious States Marie Ozanne, University of Iowa
26:	Small Area Estimation of HIV Incidence Using Bayesian Hierarchical Model Ben Sheng, Penn State University; Le Bao, Pennsylvania State University; Ray Shiraishi, CDC; Steven Gutreuter, CDC; Jeffrey Eaton, Imperial College London
27:	Source-Specific Contributions of Particulate Matter to Asthma-Related Emergency Department Utilization Mohammad Alfrad Nobel Bhuiyan , Cincinnati Children's Hospital Medical Center; Cole Brokamp, Cincinnati Children's Hospital Medical Center
28:	Spatial Point Processes and Temporal Inferences Using Moran Statistics Norou Diawara, Old Dominion University; Jennifer Lorio, Old Dominion University
29:	Using Social Contact Data to Improve the Overall Effect Estimate of a Cluster-Randomized Influenza Vaccination Program in Senegal Gail Potter, The Emmes Corporation; Nicole Carnegie, Montana State University; Jonathan Sugimoto, Fred Hutchinson Cancer Research Center; Aldiouma Diallo, Institut de Recherche pour le Developpement; John C Victor, PATH; Kathleen Neuzil, University of Maryland; M Elizabeth Halloran, University of Washington and Fred Hutchinson Cancer Research Center
30:	Detecting Hierarchical Geographical Clusters of Disease Using Heterogeneity Patterns of Varying Incidence Intensity Chih-Chieh Wu, National Cheng Kung University; Sanjay Shete, UT MD Anderson Cancer Center
31:	Functional Central Limit Theorem for Susceptible-Infected Process on Configuration Model Graphs Wasiur R. KhudaBukhsh, Ohio State University; Casper Woroszylo, BHP Billiton; Grzegorz A. Rempa?a, Ohio State University; Heinz Koeppl, TU Darmstadt
32:	Subsemble Estimation for Multivariate Spatial Models Mark May, Creighton University; Joey Higgins, Creighton University; Aimee Schwab-McCoy, Creighton University
33:	A Bayesian Hierarchical Model for Generating Fully Synthetic Point Process Data Adam Walder
34:	Evaluation of Semiparametric Single Index Model for Characterizing Effects of Correlated Exposures Yuyan Wang, New York University; Mengling Liu, New York University
35:	Estimate Booster Vaccination Effect on the Distribution of Antibody Level Using Mixture Model Li Deng, Centers for Disease Control and Prevention
36:	A Method for High-Dimensional Variable Selection in Presence of Collinearity Jiyeong Jang, University of Illinois at Chicago; Sanjib Basu, University of Illinois at Chicago
37:	Transporting Cross-Sectional Incidence Estimation Algorithms Between Populations Douglas Morrison, UCLA; Oliver Laeyendecker, Johns Hopkins University; Ron Brookmeyer, UCLA
38:	A Comparison of Spatial Scan Methods for Cluster Detection Mohammad Meysami, University of Colorado Denver; Joshua French, University of Colorado Denver; Lauren M Hall, University of Colorado Denver; Minh Chau Nguyen, University of Colorado Denver; Lee Panter, University of Colorado Denver; Nicholas Weaver, University of Colorado Denver
39:	A Multivariate Spatio-Temporal Model of the Opioid Epidemic in Ohio: a Factor Model Approach David Kline, The Ohio State University; Yixuan Ji, Wake Forest University; Staci Hepler, Wake Forest University
Oral Presentations for this session.

538	Wed, 7/31/2019, 12:30 PM - 1:50 PM	H-Centennial Ballroom G-H
Section on Statistics in Epidemiology P.M. Roundtable Discussion (Added Fee) — Roundtables PM Roundtable Discussion
Section on Statistics in Epidemiology
Organizer(s): Alisa J Stephens-Shields, University of Pennsylvania
WL14:	Building an Academic Online Presence Sherri Rose, Harvard Medical School

542 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-507
New Research Synthesis Methods in Data Science — Invited Papers
International Chinese Statistical Association, Section on Statistics in Epidemiology, Health Policy Statistics Section
Organizer(s): Haitao Chu, University of Minnesota
Chair(s): Jing Zhang, University of Maryland College Park
2:05 PM	Bayesian Inference for Network Meta-Regression Using Multivariate Random Effects with Applications to Cholesterol-Lowering Drugs Presentation Joseph G Ibrahim, UNC; Sungduk Kim, NIH; Ming-Hui Chen, University of Connecticut; Arvind Shah, Merck, Inc.; Jianxin Lin, Merck, Inc.; Hao Li, Boehringer Ingelheim; Andrew Tershakovec, Merck, Inc
2:30 PM	Innovative Methods for Assessing Publication Bias in Meta-Analysis Lifeng Lin, Florida State University
2:55 PM	Bayesian Meta-Regression Model Using Heavy-Tailed Random-Effects with Missing Sample Sizes for Self-Thinning Meta-Data Zhihau Ma, Jinan University and University of Connecticut ; Ming-Hui Chen, University of Connecticut; Yi Tang, Liaoning University
3:20 PM	Bias Correction and Sensitivity Analysis for Meta-Analysis of Studies with Zero-Inflated Outcomes Zhengyang Zhou, University of North Texas Health Science Center; Minge Xie, Rutgers University; Thomas Trikalinos, Brown University; Eun-Young Mun, University of North Texas Health Science Center
3:45 PM	Floor Discussion

551 * !	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-109
Risk Prediction Methods and Applications in Risk Stratified Prevention — Invited Papers
ENAR, Lifetime Data Science Section, Section on Statistics in Epidemiology
Organizer(s): Parichoy Pal Choudhury, National Cancer Institute
Chair(s): Yei Eun Shin, National Cancer Institute
2:05 PM	Using Deep Learning to Build Risk Prediction Models for Time-to-Event Outcomes Jon Steingrimsson, Brown University; Samantha Morrison, Brown University; Constantine Gatsonis, Brown University
2:25 PM	Case-Only Analysis of Gene-Environment Interactions Using Polygenic Risk Scores Presentation Allison Meisner, Johns Hopkins Bloomberg School of Public Health; Nilanjan Chatterjee, Johns Hopkins University
2:45 PM	Generalized Meta-Analysis for Combining Disparate Risk Factor Information Across Studies: Inference on Multiple Regression Based Risk Prediction Models Presentation Prosenjit Kundu, The Johns Hopkins University Bloomberg School of Public Health; Runlong Tang, The Johns Hopkins University Bloomberg School of Public Health; Nilanjan Chatterjee, Johns Hopkins University
3:05 PM	Development and Validation of Breast Cancer Risk Prediction Models Using ICARE and Projections for Future Risk Stratification Amber Wilcox, National Cancer Institute; Parichoy Pal Choudhury, National Cancer Institute; Montserrat Garcia-Closas, National Cancer Institute; Nilanjan Chatterjee, Johns Hopkins University
3:25 PM	Racial and Ethnic Fairness in Clinical Risk Prediction with an Application to Suicide Risk Prediction Presentation Rebecca Yates Coley, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute
3:45 PM	Floor Discussion

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

581	Wed, 7/31/2019, 2:00 PM - 3:50 PM	CC-701
Advancement in Theoretical and Applied Aspects of Modeling — Contributed Papers
Government Statistics Section, Section on Statistics and the Environment, Section on Statistics in Epidemiology
Chair(s): Anne Parker, Internal Revenue Service
2:05 PM	Zero-Inflated Count Time Series Regression Models Mohammed Alqawba; Norou Diawara, Old Dominion University; Rao Chaganty, Old Dominion University
2:20 PM	Revisiting the Linear Models with Exchangeably Distributed Errors Anuradha Roy, The University of Texas at San Antonio; Timothy Opheim, The University of Texas at San Antonio
2:35 PM	Tolerance Limits Under Poisson Regression Models Presentation Zachary Zimmer
2:50 PM	Time Series for Boolean Random Sets Kofi Wagya, University of Northern Colorado; Khalil Shafie, University of Northern Colorado
3:05 PM	Probability of Flaw Detection for Quasi-Separated Data Presentation Christine Henry, Air Force Institute of Technology; Christine Schubert Kabban, Air Force Institute of Technology
3:20 PM	A Generalized Z Score for Both Symmetric and Asymmetric Distribution Presentation Mian Adnan, Indiana University
3:35 PM	Floor Discussion

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

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

621	Thu, 8/1/2019, 8:30 AM - 10:20 AM	CC-707
Beyond Linear Regression: Nonlinear Association, Quantile Regression and Generalized Linear Models — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Tianwen Ma, University of Michigan
8:35 AM	An Examination of the Association Between Alcohol Consumption and Type 2 Diabetes in the Framingham Heart Study Presentation Saryet Kucukemiroglu, FDA; Tingting Hu, Florida State University; Elizabeth Slate, Florida State University
8:50 AM	Estimating Disparities in Breast Cancer Mortality by Race and Ethnicity Presentation 1 Presentation 2 Ronald Gangnon, University of Wisconsin; Chrstina Hunter Chapman, University of Michigan; Jennifer Bird, University of Wisconsin; Amy Trentham-Dietz, University of Wisconsin
9:05 AM	Modeling County-Level Rare Disease Prevalence Using Bayesian Hierarchical Zero-Inflated Beta Presentation Hui Xie, CDC; Deborah Rolka, CDC; Lawrence Barker, CDC
9:20 AM	Assessing a Multi-Prediction Model with Applications in Reproductive Endocrinology Katharine Correia, Amherst College
9:35 AM	Bayesian Methodology Applied on Blood Lead Data for Children Shailendra Banerjee, Centers for Disease Control; Yu Sun, Georgia Department of Public Health
9:50 AM	Look at the Whole Picture: Quantile Regression in Developmental Disabilities Research Lin Tian, CDC
10:05 AM	Methods to Study Thresholds of Hematocrit That Impact Blood Transfusion in Cardiac Surgery Presentation Xiaoting Wu, University of Michigan; Chang He, The Michigan Society of Thoracic and Cardiovascular Surgeons Quality Collaborative; Donald Likosky, Univeristy of Michigan

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

647 * !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-507
Statistical Advances in Population Research in the Developing World — Topic Contributed Papers
Government Statistics Section, Section on Statistics in Epidemiology, Social Statistics Section
Organizer(s): Zehang Richard Li, Yale University
Chair(s): Zehang Richard Li, Yale University
10:35 AM	Assessing Data Contribution for Estimation of HIV Epidemics Presentation Le Bao, Pennsylvania State University; Xiaoyue Niu, Penn State University; Jacob Parsons, Penn State University
10:55 AM	Using Social Networks to Estimate Adult Mortality in the Developing World Dennis Feehan, Univ of California - Berkeley; Matthew J. Salganik, Princeton University
11:15 AM	The Learn as You Go Design for Rigorous Quantitative Adaptation of Multi-Component Intervention Packages in Global Public Health Donna Spiegelman, Yale School of Public Health; Judith Lok, Boston University, Dept of Mathematics and Statistics; Daniel Nevo, Tel Aviv University
11:35 AM	The Convergence of Data Science and Data Poverty Rumi Chunara, New York University
11:55 AM	Floor Discussion

649 !	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-108
Recent Advances in Spatial and Spatial-Temporal Methods — Topic Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), Section on Statistics in Epidemiology, Section on Teaching of Statistics in the Health Sciences
Organizer(s): Cici Bauer, UTHealth
Chair(s): Caroline P Groth, Feinberg School of Medicine, Northwestern University
10:35 AM	Using Spatiotemporal Models to Generate Synthetic Data for Public Use Presentation Harrison Quick, Drexel University; Lance Waller, Emory University
10:55 AM	A Spatially Varying Change Points Model for Monitoring Glaucoma Progression Using Visual Field Data Joshua Warren, Yale University; Samuel Berchuck, Duke University; Jean-Claude Mwanza, UNC Chapel Hill
11:15 AM	Spatio-Temporal Model to Predict Extreme Heat Events at Unobserved Locations Erin Schliep, University of Missouri; Alan E Gelfand, Duke University
11:35 AM	Stratified Space–time Infectious Disease Modeling, with an Application to Hand, Foot and Mouth Disease in China Cici Bauer, UTHealth
11:55 AM	Assessing Environmental Factors of Histoplasmosis: a Spatio-Temporal Analysis Kimberly Kaufeld, Los Alamos National Laboratory
12:15 PM	Floor Discussion

662	Thu, 8/1/2019, 10:30 AM - 12:20 PM	CC-210/212
Methods for Meta-Analysis, and Longitudinal and Clustered Data — Contributed Papers
Section on Statistics in Epidemiology
Chair(s): Paul Albert , National Cancer Insititute
10:35 AM	A Bayesian Multivariate Meta-Analysis of Prevalence Data Presentation Lianne Siegel, University of Minnesota; Kyle Rudser, University of Minnesota; Siobhan Sutcliffe, Washington University School of Medicine; Alayne Markland, University of Alabama at Birmingham and Birmingham VA Medical Center; Linda Brubaker, University of California San Diego; Sheila Gahagan, University of California San Diego; Ann Stapleton, University of Washington; Haitao Chu, University of Minnesota
10:50 AM	Individual-Level Meta-Analysis for a Pooled Estimate of Incidence Rate for Rare Adverse Events Presentation Qing Pan, George Washington University; Chen Chen, George Washington University; Yan Ma, George Washington University; Yong Ma, FDA
11:05 AM	Validation of Sleep Measures Derived from Phone-Based Activity Data Compared to Self-Report Presentation Briana Cameron, 23andMe; Devika Dhamija, 23andMe; Matthew McIntyre, 23andMe; Robert Gentleman, 23andMe; 23andMe Research Team, 23andMe
11:20 AM	Quantification and Estimation of the Regression to the Mean for Bivariate Distributions Presentation Manzoor Khan, University of New South Wales; Jake Olivier, University of New South Wales
11:35 AM	Estimating the Zero Cell of Multivariate Bernoulli Data from Partially-Sampled Clusters John Preisser, University of North Carolina; Bahjat Qaqish, University of North Carolina
11:50 AM	Asymptotic Simultaneous Confidence Intervals of Odds Ratio in Many-To-One Comparison of Proportions for Correlated Paired Binary Data Presentation Xuan Peng, State University of New York At Buffalo; Chang-Xing Ma, State University of New York At Buffalo
12:05 PM	Sample Size Considerations for Stratified Cluster Randomization Design with Binary Outcomes and Varying Cluster Size Presentation XIAOHAN XU, University of Texas Southwestern Medical Center & Southern Methodist University

JSM 2019 Online Program

Activity Details

American Statistical Association