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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.
Replication package for McCann, Michler, Mwangala, Olurotimi, and Estrada Carmona. "Food Without Fire: Environmental and Nutritional Impacts from a Solar Stove Field Experiment." American Journal of Agricultural Economics
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.
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.
RCT design and analysis on pre-bedtime habits and sleep quality. Features robust standard errors, CATE analysis, multiple regression specifications, and reproducible R code.
A somewhat structured portable OpenRCT plugin package manager / downloader written in python. The script gets all the plugins from the https://openrct2plugins.org/ website by web-scraping and then from the github api.