Oregon Health Sciences University (OHSU) and Portland State University (PSU) School of Public Health

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Course Directory and Schedules

Course Schedules

Course Schedules by Term

Fall 
Fall 2022 GR Courses
Planning Schedule

Winter
Winter 2023 GR Courses
Planning Schedule

(rev. 7.5.22)

 

Spring
Spring 2023 GR Courses
Planning Schedule
(rev. 7.5.22)

Interprofessional Education Course Schedule

Interprofessional education occurs when students from two or more professions learn about, from, and with each other to enhance collaboration and improve health outcomes. At least 1 credit of interprofessional education is required by all MPH degree programs.

Most courses with OHSU subject code IPE (Inter-Professional Education) or UNI (University Curriculum) satisfy the interprofessional education requirement. Other courses may also serve; consult your advisor. For a list of IPE and UNI courses, descriptions, and their intended schedule, download this spreadsheet.This list is subject to change — contact the course instructor if you would like to enroll.

SPH Course Descriptions

Descriptions of all School of Public Health courses can also be found in the course catalog of the most recent edition of the PSU Bulletin.

Categorical Data Analysis – BSTA 513 / 613

Course Code Credit

BSTA 513/613

4

Course Information

Categorical Data Analysis (Biostatistics III) is the third course in the required sequence for Biostatistics Certificate Program and the MPH EPI and MPH Biostats programs.

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. Students will learn logistic regression, 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. Students will have the opportunity to briefly explore other analysis methods, such as Poisson regression, ordinal logistic regression, etc. Most homework assignments for this course are to be completed using statistical software.

Doctoral students register for the BSTA 613 section.

Prerequisites:

  1. BSTA 511/611 Estimation & Hypothesis Testing for Applied Biostatistics
  2. BSTA 512/612 Linear Models