Real-world evidence, made real easy.

A methods repository, a blog, and AI tools for people who design observational studies for the life sciences.

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FIG. 1 — FOREST PLOTn = 4 designs
hazard ratio (log scale)

The Methods Repository

A growing, curated collection of RWE and HEOR concepts, biases, study designs, and guidelines. 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.

345 concepts
108 guidelines
1,847 citations
3 languages: Py, R, SAS
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The Blog

Notes on study design and evidence methods, written for people who do this work. Published when there's something worth saying, usually on a Wednesday.

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AI Tools for RWE

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.

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Latest from the blog

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Opinions on study design, held with evidence. Published when there is something worth saying, which is less often than a content calendar would like.

Who writes this

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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