BIOST 571 Advanced Regression Methods for Dependent Data (3)
Covers longitudinal data models, generalized linear and non-linear mixed models; marginal versus conditional models; generalized estimating equations, likelihood-based inference, REML, BLUP, and computation of integrals; Bayesian inference: Markov chain Monte Carlo; covariance models, including models for split plot designs; comparison of approaches; and diagnostics. Prerequisites: BIOST570/STAT570. Offered: jointly with STAT 571; Winter
Past syllabus: 2019_WIN_BIOST_571_SzpiroA.pdf142.84 KB