BSTA 513 Categorical Data Analysis

Instructor(s): Yiyi Chen, PhD

Course Description Categorical Data Analysis is the third course in the required sequence (BSTA 511, 512, 513) for the Biostatistics Certificate Program, and the MPH Epidemiology track and MPH Biostatistics track in the Oregon MPH program. This course covers topics in categorical data analysis such as cross tabulation statistics, statistics for matched samples, and methods to assess confounding and interaction via stratified tables. It will also explore logistic regression in detail, and relate results back to those found with stratified analyses. Similar to linear regression in BSTA 512, topics for logistic regression will include parameter interpretation, statistical adjustment, variable selection techniques and model fit assessment. If time allows, students will have the opportunity to briefly explore other analysis methods. Most homework assignments for this course are to be completed using statistical software. This course is cross-listed for Mathematics/Statistics masters and doctoral students at PSU (STAT 577).

Credits 4

Term Offered Spring

Prerequisite A grade of B- or better in BSTA 512 Linear Models