Meaningful statistical model formulations for repeated measures

Abstract

When choosing a parametric statistical model two important considerations are mathematical soundness and substantive relevance. In this paper, we illustrate and exemplify that a number of issues arise from these considerations, even in relatively simple settings, such as ordinal regression, linear mixed models, models for cross-classified data and generalized linear mixed models. Many of our points are illustrated with data.