Advanced Regression Methods for Independent Data

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.

Prefix
BIOST
Number
570
Credits
3
Variable Credit?
No
Credit/no-credit only?
No
Prereq
STAT 512 and STAT 513;BIOST/STAT 533 or STAT 421/STAT 502 and STAT 423/STAT 504; a course in matrix algebra.
Joint Class?
Yes
With
STAT 570
Offered
Autumn
Past Syllabi