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
|
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|
20472 B Open |
M W F 1:30PM - 2:20PM |
* * |
Michael Wu |
|
OFFERED VIA REMOTE LEARNING
|
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