Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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24 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Causal Inference When the Outcome Is Truncated by Death — Topic Contributed Papers
Section on Statistics in Marketing, Lifetime Data Science Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Jessica Gerald Young, Harvard Medical School
Chair(s): Jessica Gerald Young, Harvard Medical School
10:05 AM	New Estimands for Causal Inference Conditional on Post-Treatment Variables Mats Stensrud, Harvard T. H. Chan School of Public Health
10:25 AM	Principal Surrogate Evaluation Using Multiple Trials Zhichao Jiang, University of Massachusetts, Amherst; Peng Ding, University of California, Berkeley; Zhi Geng, Peking University
10:45 AM	Flexible Estimation of Time-Varying Survivor Average Causal Estimands Using Bayesian Additive Regression Trees Leah Comment, Foundation Medicine, Inc
11:05 AM	Bayesian Mediation Analysis for Cluster Randomized Trials Joseph Hogan, Brown University; Michael Daniels, University of Florida
11:25 AM	Floor Discussion

45 !	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Nonparametric and Semiparametric Modeling for Complex Lifetime Data — Contributed Papers
Lifetime Data Science Section
Chair(s): Madan Kundu, AbbVie Inc.
	Fully Nonparametric Estimation of the Marginal Survival Function Based on Case-Control Clustered Data Presentation David Zucker, Hebrew University; Malka Gorfine, Tel Aviv University
	Partially Linear Single-Index Generalized Mean Residual Life Models Peng Jin, New York University; Mengling Liu, NYU Langone Medical Center
	Inverse Censoring Weighted Median Regression from Twice Censored Data Sundarraman Subramanian, New Jersey Institute of Technology
	Non-Parametric Estimation in an Illness-Death Model with Component-Wise Censoring Anne Eaton, University of Minnesota; Yifei Sun, Mailman School of Public Health, Columbia University; Jim Neaton, University of Minnesota; Xianghua Luo, University of Minnesota

58	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
New Topics in Survival Analysis — Contributed Papers
Biometrics Section, Lifetime Data Science Section
Chair(s): Yan Gao, University of Illinois at Chicago
	Selection of Weight in the Weighted Logrank Test Zhiguo Li, Duke University; Xiaofei Wang, Duke University
	An Estimation Method for the Semiparametric Accelerated Mixture Cure Model with Informative Cluster Size Jonathan Yu, Virginia Commonwealth University; Dipankar Bandyopadhyay, Virginia Commonwealth University
	Interval Censored Recursive Forests Hunyong Cho; Nicholas P Jewell, London School of Hygiene &Tropical Medicine; Michael R. Kosorok, University of North Carolina at Chapel Hill
	Survival and Mediation Analysis with Correlated Frailty Usha Govindarajulu, Icahn School of Medicine
	Incorporating Survival Data to Case-Control Studies with Incident and Prevalent Cases Soutrik Mandal, National Cancer Institute; Jing Qin, National Institute of Allergy and Infectious Diseases; Ruth Pfeiffer, National Cancer Institute

79	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Lifetime Data Science Section — Contributed Poster Presentations
Lifetime Data Science Section
1:	Survival Analysis Using Deep Learning with Medical Imaging Samantha Morrison, Brown University; Constantine Gatsonis, Brown University; Ani Eloyan, Brown University; Jon Steingrimsson, Brown University
2:	Detection of Multiple Change Points in an Accelerated Failure Time Model Using Sequential Testing Kristine Gierz, Old Dominion University; Kayoung Park, Old Dominion University
3:	Prediction of Future Failures for Heterogenous Reliability Field Data Colin Lewis-Beck, University of Iowa; Qinglong Tian, Iowa State University; William Meeker, Iowa State University
4:	Discrete Time Survival Analysis with Dependent Censoring Jung Ae Lee, University of Arkansas Agriculture Statistics Laboratory
5:	On the Lower Limit of the Population Median for the Inverse Gaussian Distribution Koji Kanefuji, Institute of Statistical Mathematics; Kosei Iwase, Hiroshima University

104 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Survival Analysis in Causal Inference Studies — Invited Papers
Lifetime Data Science Section, Biometrics Section, Section on Statistics in Epidemiology
Organizer(s): Jialiang Li, National University of Singapore
Chair(s): Mei-Ling Ting Lee, University of Maryland
1:05 PM	Targeted Learning and Survival Analysis Presentation Mark Van der Laan, University of California, Berkeley
1:25 PM	Honest Inference for Conditional Causal Hazard Ratios After Selection of High-Dimensional Confounders Kelly Van Lancker, Ghent University; Oliver Dukes, Ghent University; Stijn Vansteelandt, Ghent University and LSHTM
1:45 PM	Causal Inference and Competing Risk Data Torben Martinussen, University of Copenhagen
2:05 PM	Detecting Individual-Level 'Always Survivor' Causal Effects Under 'Truncation by Death' and Censoring Through Time Presentation Jaffer Zaidi, University of North Carolina, Chapel Hill; Eric Tchetgen Tchetgen, University of Pennsylvania; Tyler VanderWeele, Harvard T.H. Chan School of Public Health
2:25 PM	A General Approach of Assessing the Bias of 2 Stage IV Models for Survival Outcomes Fei Wan, Washington University in St. Louis
2:45 PM	Floor Discussion

142 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Fairness and Equity in Clinical Risk Prediction: Healthcare Data for the Public Good — Invited Papers
Biometrics Section, Health Policy Statistics Section, Section on Statistical Learning and Data Science, Lifetime Data Science Section
Organizer(s): Yates Coley, Kaiser Permanente Washington Health Research Institute
Chair(s): Maricela Cruz, Kaiser Permanente Washington Health Research Institute
10:05 AM	Assessing Racial and Ethnic Fairness of a Suicide Risk Prediction Model Yates Coley, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute
10:25 AM	Can Individualized Risk Calculators Reduce Racial/Ethnic Disparities in Cancer Screening Guidelines? Hormuzd Katki, US National Cancer Institute; Corey Young, Morehouse School of Medicine; Li Cheung, US National Cancer Institute; Rebecca Landy, US National Cancer Institute
10:45 AM	Detecting Undercompensated Groups in Plan Payment Risk Adjustment Presentation Anna Zink, Harvard University; Sherri Rose, Harvard Medical School
11:05 AM	Discussant: Kristian Lum, HRDAG
11:25 AM	Discussant: Ruth Pfeiffer, National Cancer Institute
11:45 AM	Floor Discussion

155 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Recent Developments in Statistical Methods for Data with Informative Cluster Size — Topic Contributed Papers
ENAR, Biometrics Section, Mu Sigma Rho, Lifetime Data Science Section
Organizer(s): Aya Mitani, Harvard T. H. Chan School of Public Health
Chair(s): Kristin Baltrusaitis, Harvard T. H. Chan School of Public Health
10:05 AM	Marginal Analysis of Multiple Outcomes with Informative Cluster Size Aya Mitani, Harvard T. H. Chan School of Public Health; Elizabeth Kaye, Boston University Henry M. Goldman School of Dental Medicine; Kerrie P Nelson, Boston University
10:25 AM	Marginal Inference Under Informative Subgroup Size Induced by a Subject Level Covariate Somnath Datta, University of Florida
10:45 AM	On the Interplay Between Exposure Misclassification and Informative Cluster Size Glen McGee, Harvard University; Marianthi-Anna A Kioumourtzoglou, Columbia University, Dept of Environmental Health Sciences; Marc Weisskopf, Harvard University; Sebastien A. Haneuse, Harvard T.H. Chan School of Public Health; Brent Coull, Harvard University
11:05 AM	A Joint Modeling of Longitudinal Data with Informative Cluster Size Adjusted for Zero-Inflation and Terminal Event Ming Wang; Biyi Shen, Pennsylvania State University; Chixiang Chen, Pennsylvania State University; Vern M. Chinchilli, Pennsylvania State University; Nasr Ghahramani, Pennsylvania State University; Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development; Somnath Datta, University of Florida
11:25 AM	Accounting for Informative Observation Process in Transition Models of Binary Longitudinal Data: A Joint Model Approach Joe Bible, Clemson University; Paul S. Albert, National Cancer Institute; Danping Liu, Eunice Kennedy Shriver National Institute of Child Health and Human Development
11:45 AM	Floor Discussion

177 !	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Statistical Modeling of Lifetime Data: LiDS Section Student Award Session — Contributed Papers
Lifetime Data Science Section
Chair(s): Guoqing Diao, George Mason University
	A Time-Dependent Structural Model Between Latent Classes and Competing Risks Outcomes Teng Fei, Emory University; John Hanfelt, Emory University; Limin Peng, Emory University
	Counterfactual Mediation Analysis with Multistate Models for Surrogate and Clinical Time-to-Event Outcomes Isabelle Weir, Harvard T. H. Chan School of Public Health; Jennifer Rider, Boston University; Ludovic Trinquart, Boston University School of Public Health
	Non-Parametric Estimation of Spearman’s Rank Correlation with Bivariate Survival Data Svetlana Eden, Vanderbilt University; Chun Li, University of Southern California, Department of Preventive Medicine; Bryan E Shepherd, Vanderbilt University
	Causal Effects of Etanercept on Birth Defects with Missing by Terathanasia Andrew Ying, University of California San Diego; Ronghui Xu, University of California, San Diego; Kenneth Lyons Jones, University of California San Diego; Christina Chambers, University of California San Diego
	Statistical Modeling of Longitudinal Medical Cost Trajectory: Renal Cell Cancer Care Cost Analyses Shikun Wang; Yu Shen, MD Anderson Cancer Center; Ya-chen Tina Shih, MD Anderson Cancer Center; Ying Xu, MD Anderson Cancer Center; LIang Li, MD Anderson Cancer Center
	BigSurvSGD: Big Survival Data Analysis via Stochastic Gradient Descent Presentation Aliasghar Tarkhan, Department of Biostatistics, University of Washington; Noah Simon, University of Washington

178	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Recent Development on the Analysis of Time-to-Event Data — Contributed Papers
Lifetime Data Science Section
Chair(s): Christine Mauro, Columbia University
	Dual Response Surface Methodology for Survival Data Haiyan Yu, Penn State University; Muzi Zhang; Dennis K.J. Lin, The Pennsylvania State University, University Park; Mingyue Gao, University College London
	Ensemble Methods for Survival Data with Time-Varying Covariates Presentation Weichi Yao, New York University; Halina Frydman, New York University; Jeffrey S. Simonoff, New York University; Denis Larocque, HEC Montreal
	Case-Cohort Studies with Multiple Interval-Censored Disease Outcomes Qingning Zhou, University of North Carolina at Charlotte; Jianwen Cai, University of North Carolina at Chapel Hill; Haibo Zhou, University of North Carolina at Chapel Hill
	Mixture Cure Rate Models with BART Presentation Xiao Li, Medical College of Wisconsin; Rodney Sparapani, Medical College of Wisconsin; Brent Logan, Medical College of Wisconsin
	Estimating Causal Effect of Multiple Treatments with Censored Data in Observational Studies Youfei Yu, University of Michigan; Min Zhang, University of Michigan; Bhramar Mukherjee, University of Michigan
	On Consistent Variable Selection for Semiparameteric Mixture Cure Models Yongzhao Shao, New York University School of Medicine; Zhaoyin Zhu, NYU School of Medicine

192	Tue, 8/4/2020, 10:00 AM - 2:00 PM	Virtual
Study of Health Outcomes Using Large Cohort Data — Contributed Papers
Biometrics Section, Lifetime Data Science Section
Chair(s): Yinqiu He, University of Michigan
	Weight Calibration to Improve the Efficiency of Pure Risk Estimates from Case-Control Samples Nested in a Cohort Yei Eun Shin, National Cancer Institute; Ruth Pfeiffer, National Cancer Institute; Barry Graubard, National Cancer Institute ; Mitchell H. Gail, National Cancer Institute
	A Flexible Approach to Modeling the Dependency of Health Outcomes on Dietary Intake Brenna Curley, Moravian College
	Modeling and Analysis of Sleep Apnea Events Data from Infants Using Pacifiers for Improved Diagnosis of Obstructive Sleep Apnea Presentation Sujay Datta, University of Akron
	Gestational Age and Disease Patterns in Early Childhood: A Comprehensive Study Using Large Sample Size Hacene Boukari, Delaware State University; Fatima Boukari, Delaware State University; Md Hossain, Nemours Biomedical Research, A.I. DuPont Children's Hospital
	Ensemble of Empirical Bayes Method to Integrate Summary-Level Information from Multiple External Studies into the Current Study Presentation Tian Gu, University of Michigan; Jeremy Taylor, University of Michigan; Bhramar Mukherjee, University of Michigan
	Quantifying Patterns and Predictors of Respiratory Distress Using Time Series Methods Camille Hochheimer, The University of Virginia; Sarah Ratcliffe, The University of Virginia; Ronald Williams, The University of Virginia; Shrirang Gadrey, The University of Virginia Health System; William Ashe, The University of Virginia
	Quantile Probit Copula Model for the Joint Modeling of Correlated Binary Outcomes Presentation Roberta De Vito, Brown University; Isabella Grabski, Harvard University; Barbara Engelhardt, Princeton University

277 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Estimand Framework and Its Impact on Drug Development in Oncology — Topic Contributed Panel
Biopharmaceutical Section, Lifetime Data Science Section, Biometrics Section
Organizer(s): Jonathan Siegel, Bayer Pharmaceuticals Inc.
Chair(s): Jonathan Siegel, Bayer Pharmaceuticals Inc.
1:05 PM	Impact of Estimand Framework on Oncology Drug Development
Panelists:	Steven Sun, Janssen Anja Schiel , Norwegian Medicines Agency Kunthel By, FDA Catherine Njue, Health Canada and ICH E9(R1) working group Richard J. Cook, University of Waterloo
2:45 PM	Floor Discussion

287 *	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Current and Future Challenges in Analyzing Composite Endpoints — Invited Papers
Lifetime Data Science Section, Biometrics Section, IMS
Organizer(s): Li-Shan Huang, National Tsing Hua University, TAIWAN
Chair(s): Li-Shan Huang, National Tsing Hua University, TAIWAN
10:05 AM	On the Intransitivity of the Win Ratio David Oakes, University of Rochester
10:30 AM	Benefit-Risk Assessment Using a Primary Endpoint and Secondary Measurements Mei-Cheng Wang, Johns Hopkins University
10:55 AM	Analysis of Cardiovascular Clinical Trials with Random Effects on Health Conditions at Entry Mei-Ling Ting Lee, University of Maryland; John Lawrence, US FDA; Yiming Chen, University of Maryland, College Park; H. M. James Hung, CDER at FDA
11:20 AM	Joint Bayesian Nonparametric Models for Survival Times and Medical Costs Jason Roy, Rutgers University; Arman Oganisian, University of Pennsylvania; Nandita Mitra, University of Pennsylvania
11:45 AM	Floor Discussion

293 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Advances in the Analysis of Competing and Semi-Competing Risks Data in Medical Research — Invited Papers
Biometrics Section, Committee on Applied Statisticians, Statistical and Applied Mathematical Sciences Institute, Lifetime Data Science Section
Organizer(s): Sujata M Patil, Memorial Sloan Kettering Cancer Center
Chair(s): Jaya Satagopan, Rutgers University School of Public Health
10:05 AM	Nonparametric Tests for Transition Probabilities in Nonhomogeneous Markov Processes Giorgos Bakoyannis, Indiana University
10:30 AM	Analyzing Semi-Competing Risks Data as a Longitudinal Bivariate Process Sebastien A. Haneuse, Harvard T.H. Chan School of Public Health; Daniel Nevo, University of Tel Aviv
10:55 AM	Endpoints and Treatment Effect Testing in Cancer Clinical Trials with Competing Risks James Dignam, Dept of Public Health Sciences, University of Chicago
11:20 AM	Methods for Estimation and Inference of Cumulative Incidence with Missing Cause of Failure Andrea Knezevic, Memorial Sloan Kettering Cancer Center; Sujata M Patil, Memorial Sloan Kettering Cancer Center
11:45 AM	Floor Discussion

307 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Advanced Survival Analysis Tools for Statistical Learning from Complex Scientific Studies — Topic Contributed Papers
Lifetime Data Science Section, Biometrics Section, ENAR
Organizer(s): Limin Peng, Emory University
Chair(s): Wenbin Lu , North Carolina State University
10:05 AM	Censored Linear Regression in the Presence or Absence of Auxiliary Survival Information Chiung-Yu Huang, University of California at San Francisco; Ying Sheng, University of California at San Francisco; Yifei Sun, Mailman School of Public Health, Columbia University; Detian Deng, Google
10:25 AM	Causal Mediation Analysis with Semi-Competing Risks Data Kwun Chuen Gary Chan, University of Washington; Fei Gao, Fred Hutchinson Cancer Research Center; Fan Xia, University of Washington
10:45 AM	Identification of Optimal Moderators for Time to Relapse Yu Cheng, University of Pittsburgh Department of Statistics; Bang Wang, University of Pittsburgh
11:05 AM	Flexible Semiparametric Latent Class Analysis of Recurrent Events Outcomes Limin Peng, Emory University; Wei Zhao, Emory University; John Hanfelt, Emory University
11:25 AM	Floor Discussion

338	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Semiparametric and Non-Parametric Methods in Survival Analysis — Contributed Papers
Biometrics Section, Lifetime Data Science Section
Chair(s): Samrachana Adhikari, NYU School of Medicine
	Kaplan-Meier Estimation for Correlated Data Bernard Rosner, Brigham and Women's Hospital; Camden Bay, Brigham and Women's Hospital; Mei-Ling Ting Lee, University of Maryland; Robert Glynn, Brigham and Women's Hospital
	Non-Parametric Inference in the Accelerated Failure Time Model Using Restricted Means Mihai Giurcanu, University of Chicago; Theodore Karrison, University of Chicago
	Influence Function-Based Empirical Likelihood Inference for Quantile Medical Costs with Censored Data Gengsheng Qin, Georgia State University; Jenny Jeyarajah, Georgia State University; Guanhao Wei, Georgia State University
	Evaluation of Joint Frailty Models in the Context of Recurrent Cardiovascular Events and Mortality Data Wei Li, Alnylam Pharmaceuticals; Jihong Chen, Alnylam Pharmaceuticals; Ally Qiuling He, Alnylam Pharmaceuticals; Nancy Silliman, Alnylam Pharmaceuticals
	A Comparison of Modeling Techniques to Predict Time to Recurrence of Early Stage Oral Squamous Cell Carcinoma Nilesh Shah, University of Pittsburgh; Yingci Liu, University of Pittsburgh
	On the Nested Case-Control Design and Model Selection Michelle Nuno; Dan Gillen, University of California, Irvine
	Stratified Proportional Hazards Models for Multivariate Interval-Censored Data with Time-Dependent Covariates Kaitlyn Cook, Harvard University; Rui Wang, Harvard University

402 !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Methods for New Challenges in Lifetime/Complex Data — Topic Contributed Papers
Lifetime Data Science Section, International Chinese Statistical Association, Biometrics Section
Organizer(s): Tony Sit, The Chinese University of Hong Kong; Kin Yau Alex Wong, The Polytechnic University of Hong Kong
Chair(s): Qingning Zhou, University of North Carolina at Charlotte
1:05 PM	Simultaneous Monitoring for Regression Coefficients and Baseline Hazard Profile in Cox Modeling of Time-to-Event Data Jun Yan, University of Connecticut; Yishu Xue, University of Connecticut; Elizabeth Schifano, University of Connecticut
1:25 PM	Score Tests with Incomplete Covariates and High-Dimensional Auxiliary Variables Kin Yau Alex Wong, The Polytechnic University of Hong Kong
1:45 PM	Improving Efficiency of Analysis of Generalized Semiparametric Regression Models for Cumulative Incidence Functions with Missing Covariates Yanqing Sun, University of North Carolina At Charlotte; Fei Heng, University of North Florida; Unkyung Lee, Texas A&M University; Peter B Gilbert, University of Washington and Fred Hutchinson Cancer Research Center
2:05 PM	Locally Homogeneous Censored Quantile Regression Model with Time-Dependent Covariates Tony Sit, The Chinese University of Hong Kong
2:25 PM	Estimation of time-varying reproduction numbers underlying epidemiological processes: a new statistical tool for the COVID-19 pandemic Yi Li, University of Michigan
2:45 PM	Floor Discussion

404	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Novel Methods for High-Dimensional and Large-Scale Survival Data — Topic Contributed Papers
WNAR, Lifetime Data Science Section, ENAR
Organizer(s): Ludovic Trinquart, Boston University School of Public Health
Chair(s): Lexin Li, University of California, Berkeley
1:05 PM	Inference for High-Dimensional Censored Quantile Regression Zhe Fei; Qi Zheng, University of Louisville; Hyokyoung (Grace) Hong, Michigan State University; Yi Li, University of Michigan
1:25 PM	A New Joint Screening Method for Right-Censored Time-to-Event Data with Ultra-High-Dimensional Covariates Gang Li, University of California, Los Angeles
1:45 PM	Double-Slicing Assisted Sufficient Dimension Reduction for High-Dimensional Censored Data Shanshan Ding, University of Delaware; Wei Qian, University of Delaware; Lan Wang, University of Minnesota
2:05 PM	ANALYZING LARGE SCALE RECURRENT EVENT DATA with a DIVIDE-AND-CONQUER APPROACH Jerry Cheng, New York Institute of Technology
2:25 PM	Lights: A Generalized Joint Model for High-Dimensional Multivariate Longitudinal Data and Censored Durations Simon Bussy, INSERM
2:45 PM	Floor Discussion

427 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Various Challenges and Strategies in Analysis of Real-Life Data — Invited Papers
SSC (Statistical Society of Canada), Lifetime Data Science Section, International Chinese Statistical Association
Organizer(s): Joan X. Hu, Simon Fraser University
Chair(s): Wendy Lou, University of Toronto
10:05 AM	Informative Visit Patterns in Longitudinal Health Care Claims Data Robert Platt, McGill University
10:30 AM	Support Vector Machine with Graphical Network Structures in Features Wenqing He, University of Western Ontario; Grace Yi, Unievrsity of Western Ontario; Li-Pang Chen, University Of Western Ontario
10:55 AM	Statistical Analysis of Duration Data with Missing Time Origins Joan X. Hu, Simon Fraser University; Yi Xiong, Simon Fraser University; John Braun, University of British Columbia
11:20 AM	Discussant: Rhonda J. Rosychuk, University of Alberta
11:45 AM	Floor Discussion

470	Thu, 8/6/2020, 10:00 AM - 2:00 PM	Virtual
Lifetime Risk, Competing Risk, and Recurrent Events — Contributed Papers
Lifetime Data Science Section
Chair(s): Yifei Sun, Mailman School of Public Health, Columbia University
	A Statistical Framework for Time-to-Event Data with Exposure-Lag-Response Association and Its Application in Time-to-ICU Discharge Presentation Yan Gao, University of Illinois at Chicago; Sanjib Basu, University of Illinois At Chicago; Cheng Ouyang, University of Illinois at Chicago
	Regression Model for the Lifetime Risk Based on Pseudo-Observations Sarah Conner, Boston University School of Public Health; Alexa Beiser, Boston University School of Public Health; Emelia J. Benjamin, Department of Medicine, and Department of Epidemiology, Boston University ; Michael P LaValley, Boston University; Martin Larson, Boston University School of Public Health; Ludovic Trinquart, Boston University School of Public Health
	Joint Rate Regression Models for Bivariate Recurrent Events with Frailty Processes Yuxin Zhu; Mei-Cheng Wang, Johns Hopkins University
	Variable Selection in Frailty Illness-Death Models for Joint Outcome Prediction Under Semi-Competing Risks Presentation Harrison Reeder, Harvard T.H. Chan School of Public Health; Sebastien A. Haneuse, Harvard T.H. Chan School of Public Health
	Bayesian Models for Joint Longitudinal and Competing Risks Data Allison Furgal, University of Michigan Biostatistics; Ananda Sen, University of Michigan Biostatistics; Jeremy Taylor, University of Michigan
	The Heterogeneity Effect of Surveillance Intervals on Progression-Free Survival Presentation Jingwei Wu, College pf Public Health, Temple University; Zihang Zhong, Department of Biostatistics, School of Public Health, Nanjing Medical University; Jianling Bai, School of Public Health, Nanjing Medical University; Hao Yu, School of Public Health, Nanjing Medical University

220207	Fri, 8/14/2020, 3:30 PM -	Virtual
Lifetime Data Science Section Business Meeting — Other Cmte/Business
Lifetime Data Science Section
Chair(s): Nicholas P Jewell, London School of Hygiene &Tropical Medicine
Chair's report on Section business and future planning, jewell@Berkeley.edu

JSM 2020 Online Program

Activity Details

American Statistical Association