INTRODUCTION TO SAS PROGRAMMING FOR POPULATION HEALTH

Prerequisites & course information

Requisites: Declared in the Population Health, Epidemiology or Clinical Investigation graduate program. Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2024 Learning Outcomes: 1. Create and modify SAS datasets using programming structures within the SAS Data Step (e.g. Do loops, If/Then/Else, Functions, and Arrays). Audience: Graduate 2. Utilize various SAS Procedures to explore SAS datasets, to summarize information in SAS datasets, and to perform basic statistical analyses. Audience: Graduate 3. Recognize common SAS program errors, identify strategies for debugging SAS programs, and implement general techniques to check and verify your coding. Audience: Graduate Learning Outcomes: 1. Create and modify SAS datasets using programming structures within the SAS Data Step (e.g. Do loops, If/Then/Else, Functions, and Arrays). Audience: Graduate 2. Utilize various SAS Procedures to explore SAS datasets, to summarize information in SAS datasets, and to perform basic statistical analyses. Audience: Graduate 3. Recognize common SAS program errors, identify strategies for debugging SAS programs, and implement general techniques to check and verify your coding. Audience: Graduate