Multivariate Longitudinal Data Analysis

Longitudinal data (LD) occurs when repeated measurements from the same subject are observed overtime. In this book, exploratory data analysis (EDA)and models are utilized jointly to analyze LD which leads to stronger and better justified conclusions.Here we catalog the general principles of EDA for multivariate LD, and illustrate the use of the linked brushing approach for studying the mean structure over time. We also introduce models for multivariate longitudinal binary data: Marginalized transition random effects models (MTREM). These models exploit the marginal covariate effects while…