3 credits
Fall 2025 Lecture Upper Division
Randomized control trials provide solid evidence on whether interventions and programs "work" to improve health outcomes. In this course, students will learn how to design a randomized study, handle practical issues that arise in data collection, analyze data using appropriate methods and good statistical practice, identify limitations to statistical evidence, and interpret and communicate findings in an audience-appropriate way. This is a hands-on course in which students will work with data and build skills using SAS statistical software in preparation for careers as biostatisticians, data scientists, and researchers. Pre-requisite: A graduate level introductory statistics course that includes simple linear regression.
Learning Outcomes1Identify and plan an appropriate randomized study design to answer a substantive question.
2Identify limitations to statistical evidence that arise in study design and implementation.
3Analyze data from randomized trials using appropriate methods and good statistical practice.
4Interpret and communicate findings from randomized trials in an audience-appropriate way.
Restrictions
made by Purdue students.