BSTA 513 Categorical Data Analysis

Instructor(s): Yiyi Chen, PhD

Course Description Categorical Data Analysis is the third course in the required sequence for Biostatistics Certificate Program (BSTA 511, 512, 513) and the Epi/Biostat track in the Oregon MPH program (PHPM 525, 526, 527). 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 or PHPM 526

PHPM Cross-Listing PHPM 527 (Biostatistics III)