STAT 570

Advanced Regression Methods for Independent Data
4.0 credits

Course Description

Covers linear models, generalized linear and non-linear regression, and models. Includes interpretation of parameters, including collapsibility and non-collapsibility, estimating equations; likelihood; sandwich estimations; the bootstrap; Bayesian inference: prior specification, hypothesis testing, and computation; comparison of approaches; and diagnostics. Prerequisite: STAT 512 and STAT 513; either BIOST 533/STAT 533, or STAT 502 and STAT 504/CS&SS 504; and a course in matrix algebra. Offered: jointly with BIOST 570; A.

Current Time Schedule

Autumn, 2022

SLN/Section Time Location Instructor
21837 A
Open

M F 1:30PM - 2:20PM

THO 125

Jon Wakefield

 

 

21838 B
Open

M F 1:30PM - 2:20PM

THO 125

Jon Wakefield

OFFERED JOINTLY WITH STAT 570A/BIOSTAT 570/ GRADS ONLY, STAT MAJORS ONLY