A learning path from matrix foundations to regulatory submission, covering covariance structures, REML and Kenward-Roger, implementations in SAS and R, and ICH E9(R1).
MMRM
3Notes first, then external projectsWest, Welch and Galecki, chapter by chapter, read for a clinical statistical programmer: what each concept corresponds to in a trial, the SAS that fits it, and where it bites. Six case studies mapped onto multicentre trials, repeated visits, crossed raters and design effect.
The production pattern behind a Phase III primary endpoint: PROC MIXED with no RANDOM statement, TYPE=UN and DDFM=KR, the baseline record leaving the response vector, what each covariance structure costs, and the prespecification in the SAP the model cannot supply for itself. Ships a runnable Base SAS check.