This monograph provides a concise point of research topics and reference
for modeling correlated response data with time-dependent covariates,
and longitudinal data for the analysis of population-averaged models,
highlighting methods by a variety of pioneering scholars. While the
models presented in the volume are applied to health and health-related
data, they can be used to analyze any kind of data that contain
covariates that change over time. The included data are analyzed with
the use of both R and SAS, and the data and computing programs are
provided to readers so that they can replicate and implement covered
methods. It is an excellent resource for scholars of both computational
and methodological statistics and biostatistics, particularly in the
applied areas of health.