A Tutorial for Joint Modeling of Longitudinal and Time-to-Event Data in R

Published: Sep 12, 2019
Abstract
In biostatistics and medical research, longitudinal data are often composed of repeated assessments of a variable (e.g., blood pressure or other biomarkers) and dichotomous indicators to mark an event of interest (e.g., recovery from disease, or death). Consequently, joint modeling of longitudinal and time-to-event data has generated much interest in these disciplines over the previous decade. In psychology, too, often we are interested in...
Paper Details
Title
A Tutorial for Joint Modeling of Longitudinal and Time-to-Event Data in R
Published Date
Sep 12, 2019
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