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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.
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.
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