Tutorial I: Motivation for Joint Modeling & Joint Models ...

Tutorial I: Motivation for Joint Modeling & Joint Models forLongitudinal and Survival DataDimitris RizopoulosDepartment of Biostatistics, Erasmus University Medical Modeling and BeyondMeeting and Tutorials on Joint Modeling With Survival, Longitudinal, and Missing DataApril 14, 2016, DiepenbeekContents1 Motivating Longitudinal Studies.. Research Questions.. Recent Developments.. Joint Models ..152 Linear Mixed-Effects Features of Longitudinal Data.. The Linear Mixed model ..20 Tutorial I: Joint Models for Longitudinal and Survival Data: April 14, Missing Data in Longitudinal Studies.. Missing Data Mechanisms..323 Relative Risk Features of Survival Data.. Relative Risk Models .. Time Dependent Covariates.. Extended Cox model ..494 The Basic Joint Joint Modeling Framework..55 Tutorial I: Joint Models for Longitudinal and Survival Data: April 14, Estimation.. A Comparison with the TD Cox.. Joint Models in R.. Connection with Missing Data..78 Tutorial I: Joint Models for Longitudinal and Survival Data: April 14, 2016ivWhat are these Tutorials About Often in follow-up studies different types of outcomes are collected Explicitoutcomes multiple longitudinal responses ( , markers, blood values) time-to-event(s) of particular interest ( , death, relapse) Implicitoutcomes missing data ( , dropout, intermittent missingness) random visit timesTutorial I: Joint Models for Longitudinal and Survival Data: April 14, 2016vWhat are these Tutorials About (cont')

Tutorial I: Motivation for Joint Modeling & Joint Models for Longitudinal and Survival Data Dimitris Rizopoulos Department of Biostatistics, Erasmus University Medical Center

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