This textbook will cover multivariate linear models for a continuous response measured repeatedly over time. It will be of interest to statisticians in many fields including biostatistics and social science.

Covers both the regression modeling aspect and the covariance modeling issues Coverage includes initial data exploration, model specification and building and inference Includes supplementary material: sn.pub/extras

Inhalt
to Longitudinal Data.- Plots.- Simple Analyses.- Critiques of Simple Analyses.- The Multivariate Normal Linear Model.- Tools and Concepts.- Specifying Covariates.- Modeling the Covariance Matrix.- Random Effects Models.- Residuals and Case Diagnostics.- Discrete Longitudinal Data.- Missing Data.- Analyzing Two Longitudinal Variables.- Further Reading.