The paper considers a wide class of semiparametric problems with a parametric part for some covariate effects and repeated evaluations of a nonparametric function. Special cases in our approach include marginal models for longitudinal or clustered data, conditional logistic regression for matched case–control studies, multivariate measurement error models, generalized linear mixed models with a...

Contrast analysis of repeated-measures data generally focuses on hypotheses when only 1 pattern of results is of theoretical interest. This article articulates a framework for contrast analysis in repeated-measures contexts in which researchers have hypotheses relevant to 1 potential pattern or multiple potential patterns of results. For example, a researcher might ask whether participants exhi...

This paper provides a brief review of commonly used statistical methods for analyses of ordinal response data. Generalized CMH Score Tests of Marginal Homogeneity, GEE, and random-intercepts logistic regression ordinal model for analysis of repeated ordinal response data will be particularly discussed. SAS procedures, Proc NLMIXED, Proc GENMOD, Proc IML, and Proc FREQ for categorical ordinal an...

Repeated measures experiments involve two or more intended measurements per subject. If the within-subjects design is the same for each subject, and if no data are missing, then the analysis is not very hard and there are readily available programs that do the analysis automatically. Huwever, if the data are not balanced, with the same arrangement for eaeh subject, then the analysis becomes muc...