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Coursework, SAS code, and notes for PUBH 52600: Design and Analysis of Randomized Trials in Public Health (Fall 2025, Purdue University). Topics include principles and design of randomized controlled trials, hypothesis testing, group comparisons, ANCOVA, and analysis of clustered and repeated measures data using SAS.

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PUBH 526: Design and Analysis of Randomized Trials in Public Health

Course Overview

Course Description

This course focuses on the design and analysis of randomized controlled trials (RCTs) in public health. Students will learn how to design RCTs, navigate practical challenges in implementation, analyze trial data using good statistical practice, and interpret findings clearly and responsibly. The course emphasizes hands-on work using SAS software to prepare students for roles in biostatistics, data science, and public health research. Topics include:

  • Principles and components of randomized trials
  • Ethical considerations in RCTs
  • Hypothesis testing and comparisons between groups
  • ANCOVA and effect modification
  • Cluster and crossover designs
  • Repeated measures and random effects models
  • Power and sample size calculations
  • Meta-analysis

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Coursework, SAS code, and notes for PUBH 52600: Design and Analysis of Randomized Trials in Public Health (Fall 2025, Purdue University). Topics include principles and design of randomized controlled trials, hypothesis testing, group comparisons, ANCOVA, and analysis of clustered and repeated measures data using SAS.

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