ABSTRACT

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.

chapter 1|12 pages

Introduction

part 1|60 pages

Normal Error Distributions

chapter 2|24 pages

Multivariate analysis of variance

chapter 3|15 pages

Univariate analysis of variance

chapter 4|10 pages

Regression methods

chapter 5|8 pages

Random effects models

chapter 6|16 pages

Covariance structures

part 2|71 pages

Non-normal Error Distributions

chapter 8|19 pages

Nonlinear models

chapter 10|15 pages

Binary and categorical measures

part 3|9 pages

Comparisons of Methods

chapter 11|7 pages

Relationships between methods