14 Statistical Modeling in Biomedical Research: Longitudinal Data Analysis

Chengjie Xiong, Kejun Zhu, Kai Yu, J. Philip Miller

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

7 Scopus citations


This chapter discusses some major statistical methods for longitudinal data analysis in biomedical research. We have provided a detailed review to some of the most used statistical models for the analyses of longitudinal data and relevant design issues based on these models. Our focus is on the conceptualization of longitudinal statistical models, the assumptions associated with them, and the interpretations of model parameters. It is not our intention to present the detailed theory on statistical estimations and inferences for these models in this chapter. Instead, we have presented the implementations for some of these basic longitudinal models in SAS through real-world applications.

Original languageEnglish
Title of host publicationEpidemiology and Medical Statistics
EditorsC.R. Rao, J.P. Miller, D.C. Rao
Number of pages35
StatePublished - 2007

Publication series

NameHandbook of Statistics
ISSN (Print)0169-7161


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