Includes index.

Content: Introduction: Background and objectives -- Overview -- Some simple analysis: Comparisons at individual times -- Response feature analysis -- Individual curve fitting -- Further reading -- Univariate analysis of variance: The fundamental model -- Anova -- Calculation of expected mean-squares -- Expected mean-squares by 'synthesis' -- Contrasts, compound symmetry and F-tests -- Relaxing assumptions: Univariate, modified univariate, or multivariate tests? -- Further reading -- Multivariate analysis: Models without special covariance structure -- Hotelling's T^2 -- Testing for polynomial trends -- Manova -- Further reading -- Regression models: Special case -- General case -- Structure covariance case -- Some covariance structures -- Further reading -- Two-stage linear models: Random regression coefficients -- Estimation and testing -- Particular aspects -- Examples -- Further reading -- Crossover experiments: Simple 2*2 designs -- A Bayesian approach o 2*2 designs -- More complex crossover designs for two treatments -- Crossover trials with a binary response -- Further topics -- Further reading -- Categorical data: Introduction -- Markov chain models -- Log-linear models -- Linear model methods for group and time comparisons -- Randomization test approaches -- Some special cases -- Further reading -- Some further topics: Some practical matters -- Antedependence -- Tracking -- Nonlinear growth curves -- Non-normal observations -- Computer software and examples: Repeated measures facilities in BMDP, SPSS* and SAS -- Example 1 - BMDP program 2V -- Example 2 - BMDP program 2V -- Example 3 - BMDP program 2V -- Example 4 - SPSS* program MANOVA -- Example 5 - SPSS* program MANOVA -- Example 6 - BMDP program 5V.