A methods repository, a blog, and AI tools for people who design observational studies for a living.
Every concept, bias, design, and guideline that matters in RWE and HEOR study design. Each entry carries citations, trade-offs, a plain-language on-ramp with a worked example, and runnable Python, R, and SAS. Not a glossary. A working reference.
Opinions on study design, held with evidence. Published when there is something worth saying, which is less often than a content calendar would like.
A coding copilot that interviews you about your SAP, a structured literature reviewer, and whatever survives the lab. Built so the model never touches patient-level data.
Joseph (Joe) L. Smith, PhD, MPH, MBA. Over a decade designing and leading real-world evidence and HEOR studies for payers and life science companies, from protocol through publication, and building and leading the quantitative and qualitative teams that deliver them.
RWEdnesdays is the personal side of that work: the methods reference I wanted on every project, and the AI tools that hold evidence work to evidence standards. Views are my own.
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