<p>Lecture, three hours; discussion, one hour; laboratory, one hour. Preferred preparation: courses 200A, 200B, and previous coursework in linear algebra. Designed for students pursuing graduate degrees in biostatistics. Generalized linear models, description, and analysis of discrete data with applications to public health. Students are trained to identify different types of discrete data; use statistical software package STATA to manage, summarize, and analyze data; use appropriate statistical techniques for analyzing public health data using generalized linear models; apply generalized estimating equations for analyzing longitudinal data; and write formal statistical report of data analysis for public health researcher. S/U or letter grading.</p>

Biostatistics

The school aims to build health and equity, and to drive positive change for all people. The school acts on this mission through initiatives in three core areas: education, discovery, and service.

Jonathan and Karin Fielding School of Public Health

Biostatistics encompasses the methodology and theory of statistics as applied to problems in the life and health sciences.

General Catalog

Methods in Biostatistics C

BIOSTAT 200C

4 units