This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it exists and illustrates the program code and output. The data appendix provides many real data sets-beyond those used for the examples-which can serve as the basis for exercises.
Table of Contents
Introduction. Normal Error Distributions: Multivariate Analysis of Variance. Univariate Analysis of Variance. Regression Methods. Random Effects Models. Covariance Structures. Non-normal Error Distributions: Continuous Non-Normal Measures. Gaussian Estimation. Nonlinear Models. Generalized Linear Models and Maximum Quasi-Likelihood Estimation. Binary and Categorical Measures. Comparisons of Methods. Data Appendices. References.