Special topics on linear mixed models
Abstract
This chapter concerns several special topics in the application of linear mixed models. First, statistical models with adjustment of baseline response are described and discussed, in which the outcome variable is specified as a relative score rather than a score itself. The historical debate on the adjustment of baseline score is summarized for a two-point trend analysis. The Lord’s paradox, a classical example of the adjustment, is reviewed and discussed. The approach of adjusting the baseline response in longitudinal data analysis is then examined. Second, I present the statistical models adjusting misspecification of the normality hypothesis for the random effects, with an empirical illustration. ...
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