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rct

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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.

  • Updated Dec 12, 2025
  • SAS

This repository provides open-source best practices for for conducting geographic randomized controlled trials (Geo RCTs) for measuring incremental sales effect of advertising cammpaigns. It includes details on one design type in particular, a multi-armed stepped experimental design that has particular advantages in terms of statistical strength.

  • Updated Sep 3, 2025
  • Python

Stroke2Work analyzes return-to-work and health outcomes in stroke survivors, using statistical models to identify patient subgroups most likely to benefit, optimize work reintegration timing, and segment individuals by projected recovery and long-term quality-of-life.

  • Updated Jul 1, 2025
  • R

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