Analysis of Repeated Measures.

Abstract

Part 1 Introduction: Background and objectives overview. Part 2 Some simple analyses: comparisons at individual times response feature analysis individual curve fitting. Part 3 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? Part 4 Multivariate analysis: models without special covariance structure hotellings testing for polynomial trends Manova. Part 5 Regression models: special case general case structured covariance case some covariance structures. Part 6 Two-stage linear models: random regression coefficients estimation and testing particular aspects examples. Part 7 Crossover experiments: simple 2x2 designs a Bayesian approach to 2x2 designs more complex crossover designs for two treatments crossover trials with a binary response. Part 8 Categorical data: Markov chain models log-linear models linear model methods for group and time comparisons randomization test approaches some special cases. Part 9 Some further topics: some practical matters antedependence tracking nonlinear growth curves non-normal observations. Part 10 Computer software and examples: repeated measure 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.