SAS Software for Health Research
This course will offer a series of in-class demonstrations and hands-on practice in computer lab sessions where graduate students in the Health Sciences program, and in the Department of Community Health and Epidemiology will learn various features of SAS, a statistical software frequently used in health research. This course will provide an overview on data entry, data management, visualization using SAS, and some commonly used techniques (descriptive statistics, T-test, ANOVA, linear regression, and logistic regression). To demonstrate their competency, students will complete a final project incorporating the SAS skills they have learned during the course to analyze and interpret results from a provided data set.
Prerequisites & course information
Prerequisite(s): An upper-level undergraduate statistics course. Note: This course is part of a suite of skills-focused short courses offered by the Department of Community Health and Epidemiology that build on content and theory delivered in full 3.0 cu graduate research methods courses. Completion of several of these 1.0 cu skills courses is not a suitable substitute for a single 3.0 cu research methods program requirement as they do not provide the theoretical or substantive depth expected at a graduate level.
Sources
- Course catalogue ↗2026-2027