← All skills

Cross-National Comparison

/cross-nationalNEW
Analysis & Figures

What it does

End-to-end cross-national comparison study using parallel survey data. Variable harmonization, parallel weighted analysis (no data pooling), and country-stratified comparison tables.

Highlights

  • ✓KNHANES + NHANES + CHNS variable coding references
  • ✓Country-specific survey design with no data pooling
  • ✓Supports 2-country and 3-country designs

Install this skill

git clone https://github.com/aperivue/medsci-skills.git
cp -r medsci-skills/skills/cross-national ~/.claude/skills/
Full documentation→View source on GitHub

Related skills

Statistical Analysis/analyze-stats

Reproducible Python/R code for 13 analysis types including regression, propensity score, and repeated measures. Calibration mandatory for prediction models.

Publication Figures/make-figures

Journal-spec figures and visual abstracts: ROC curves, forest plots, flow diagrams, Kaplan-Meier, and more.

Meta-Analysis/meta-analysis

Full 8-phase systematic review and meta-analysis pipeline. DTA (bivariate/HSROC) and intervention MA with PRISMA-DTA compliance. Dual-extractor + cohort overlap detection.

Study Replication/replicate-study

Replicate an existing cohort study on a different database. Extracts methodology from a source paper, maps variables via harmonization table, generates analysis code, and produces a replication difference report.