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Course Directory and Schedules

Course Schedules

Course Schedules by Term

Fall 2022 GR Courses
Planning Schedule

Winter 2023 GR Courses
Planning Schedule

(rev. 7.5.22)


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.

Estimation and Hypothesis Testing for Applied Biostatistics – BSTA 511 / 611

Course Code Credit

BSTA 511/611


Course Information

This course covers a broad range of basic statistical methods used in the health sciences. The course begins by covering methods of summarizing data through graphical displays and numerical measures. Basic probability concepts will be explored to establish the basis for statistical inference. Confidence intervals and hypothesis testing will be studied with emphasis on applying these methods to relevant situations. Both normal theory and nonparametric approaches will be studied including one- and two-sample tests of population means and tests of independence for two-way tables. Students will be introduced to one-way analysis of variance (ANOVA), correlation, and simple linear regression. The course focuses on understanding when to use basic statistical methods, how to compute test statistics and how to interpret and communicate the results. Computer applications are included as part of the course to introduce students to basic data management, reading output from computer packages, interpreting and summarizing results.

Doctoral students register for the BSTA 611 section.