STAT 571

Advanced Regression Methods for Dependent Data
3.0 credits

Course Description

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. Prerequisite: BIOST570/STAT 570. Offered: jointly with BIOST 571; W.

Current Time Schedule

Winter, 2021

SLN/Section Time Location Instructor
20471 A
Open

M W F 1:30PM - 2:20PM

* *

Michael Wu

OFFERED VIA REMOTE LEARNING

 

 

20472 B
Open

M W F 1:30PM - 2:20PM

* *

Michael Wu

OFFERED VIA REMOTE LEARNING