bymims-harvard· 57 skills
End-to-end observational epidemiology analysis — from research question (PECO Population/Exposure/Comparator/Outcome) to publication-ready statistical report. Covers cohort/case-control/cross-sectional design, regression with confounders, propensity scoring, sensitivity analysis. Writes Python code for every step. Use for epidemiology study analysis, NHANES/UK-Biobank-style analyses.
$npx -y skills add mims-harvard/tooluniverse --skill tooluniverse-epidemiological-analysisInstalls into the current project.
Run `npx skills use "https://github.com/mims-harvard/tooluniverse" --skill "mims-harvard/tooluniverse/tooluniverse-epidemiological-analysis"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/mims-harvard/tooluniverse" that are relevant to the current task. Run `npx skills add "https://github.com/mims-harvard/tooluniverse"` and select the relevant skills, then follow their instructions.