BioStat 571

Lecture Notes

Set 1: Introduction and motivation, revision of estimation methods, linear mixed effects models, likelihood inference, p. 1-86 (PDF)
Set 2: Bayesian inference for linear mixed effects models, p. 87-120 (PDF)
Set 3: GEE, comparison of approaches, assessment of assumptions, p. 121-198 (PDF)
Set 4: GLMM, likelihood and Bayes, GEE, p. 199-277 (PDF)
Set 5: NLMEM, likelihood and Bayes, p. 278-328 (PDF)
Set 6: Models for binary dependent data, p. 329-362 (PDF)
Set 7: Multilevel models, p. 363-386 (PDF)
Set 8: Missing Data p. 387-403 (PDF)
Set 9: Missing Data, Concluding remarks p. 404-428 (PDF)