— Biostatistics: Generalized Linear Models
This version has ended; see updated course, below. Course Description: Likelihood and linear regression; generalized linear model; Binomial regression; case-control studies; dose-response and bioassay; Poisson regression; Gamma regression; quasi-likelihood models; estimating equations; multivariate GLMs.
Prerequisites & course information
This version has ended; see updated course, below. Course Description: Likelihood and linear regression; generalized linear model; Binomial regression; case-control studies; dose-response and bioassay; Poisson regression; Gamma regression; quasi-likelihood models; estimating equations; multivariate GLMs. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students. Pass Two restricted to graduate students. Cross Listing: BST 223 . Grade Mode: Letter. STA 223 — Biostatistics: Generalized Linear Models (4 units) Course Description: Likelihood and linear regression; generalized linear model; Binomial regression; case-control studies; dose-response and bioassay; Poisson regression; Gamma regression; quasi-likelihood models; estimating equations; multivariate GLMs. Prerequisite(s): STA 131C . Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students; Pass Two restricted to graduate students. Cross Listing: BST 223 . Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027. Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students. Pass Two restricted to graduate students. Cross Listing: BST 223 . Grade Mode: Letter. STA 223 — Biostatistics: Generalized Linear Models (4 units) Course Description: Likelihood and linear regression; generalized linear model; Binomial regression; case-control studies; dose-response and bioassay; Poisson regression; Gamma regression; quasi-likelihood models; estimating equations; multivariate GLMs. Prerequisite(s): STA 131C . Learning Activities: Lecture 3 hour(s), Discussion/Laboratory 1 hour(s). Enrollment Restriction(s): Pass One restricted to Statistics & Biostatistics graduate students; Pass Two restricted to graduate students. Cross Listing: BST 223 . Grade Mode: Letter. This course version is effective from, and including: Winter Quarter 2027.
Sources
- Course catalogue ↗2026-2027