BIOSTAT 250BLinear Statistical Models
Biostatistics · 4 units · Graduate courses (200-299)
Theoretical foundation for linear models with applications to different types of problems in biomedical field. Emphasis on mathematical training and understanding of theory of linear models, including linear mixed models and topics that may include theory and tests for various types of model misspecification, such as heteroscedasticity and outliers. Other selected topics may include ridge regression, Bayesian estimation in linear models, REML, prediction, and model selection issues. Some data analysis, instructions for STATA provided.
Letter grading.
When it runs
- Winter 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisites: courses 200A, 200B, 200C, 250A.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOSTAT 250B
- BIOSTAT 200AMethods in Biostatistics A
- BIOSTAT 200BMethods in Biostatistics B
- BIOSTAT 200CMethods in Biostatistics C
- BIOSTAT 250ALinear Statistical Models
4 direct requisites. The whole upstream is here — 5 courses over 2 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
BIOSTAT 250B
- BIOSTAT 250CMultivariate Biostatistics
1 course lists this as a requisite. The whole downstream is here — 1 course over 1 level. Every course here opens its own tree.