408
Tue, 7/30/2019,
2:00 PM -
3:50 PM
CC-709
Joint Modeling of Longitudinal and Survival Data and Related Topics — Contributed Papers
Lifetime Data Science Section
Chair(s): Mengdie Yuan, Food and Drug Administration
2:05 PM
The Joint Modeling of Longitudinal Covariates and Censored Quantile Regression
Bo Hu, Columbia University ; Ying Wei, Columbia University, Biostatistics Department; Mary Beth Terry, Columbia University
2:20 PM
Joint Analysis of Longitudinal and Interval-Censored Failure Time Data
Yin-Chu Chang
2:35 PM
Joint Latent Class Trees: a Tree-Based Approach to Joint Modeling of Time-To-Event and Longitudinal Data
Ningshan Zhang, New York University ; Jeffrey S. Simonoff, New York University
2:50 PM
Bayesian Joint Models for Longitudinal and Competing Risks Data
Allison Furgal, University of Michigan Biostatistics ; Ananda Sen, University of Michigan; Jeremy Taylor, University of Michigan
3:05 PM
Joint Modeling of Longitudinal Data and Informative Zero-Inflated Cluster Size Adjusted for a Terminal Event
Biyi Shen, The Pennsylvania State University ; Vernon Chinchilli, Pennsylvania State University; Ming Wang, Pennsylvania State University
3:20 PM
A Gaussian Copula Approach for Dynamic Prediction of Survival with a Longitudinal Biomarker
Krithika Suresh, University of Colorado ; Jeremy Taylor, University of Michigan; Alexander Tsodikov, University of Michigan
3:35 PM
H-Likelihood Estimation for Survival Analysis with Log-Skew-Normal Shared Frailty
Adams Kusi Appiah, Unversity of Nebraska Medical Center ; Gleb Haynatzki, University of Nebraska Medical Center; Hongying Dai, University of Nebraska Medical Center
