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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
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
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
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