cross-national
From the author
Use when comparing an exposure-outcome association across countries with parallel national surveys (KNHANES, NHANES, CHNS). Harmonizes variables, runs parallel weighted analyses and builds comparison tables for 2-country (KR+US) or 3-country (KR+US+CN) designs.
Install
npx skills add Aperivue/medsci-skills --skill cross-national -a claude-code
Installs to .claude/skills/cross-national/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
Want your agent to suggest skills while you type? See how to use skills from your IDE.
Safety checks on SKILL.md
No warnings.
Why 86
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
Similar skills
Closest to this one by what they do and when they are used.
- compare-cohortsmicrosoft/power-platform-skillsUse when comparing process cohorts, departments, periods or before-and-after results under matched definitions.Other★ 1K
- comps-analysisanthropics/financial-servicesBuild institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. **Perfect for:** - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying valuation outliers (over/under-valued) - Supporting investment committee presentations - Creating sector overview reports **Not ideal for:** - Private companies without comparable public peers - Highly diversified conglomerates - Distressed/bankrupt companies - Pre-revenue startups - Companies with unique business modelsOfficialData★ 40.7K
- analyze-resultswanshuiyin/Auto-claude-code-research-in-sleepAnalyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.Other★ 18K
- pnas-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse to enforce PNAS's statistics and reproducibility reporting — n and replication, test choice and assumptions, effect sizes with uncertainty, multiple-comparison control, randomization/blinding, sample-size justification, pre-registration where relevant, and reproducible code.Testing★ 1.3K
- pnas-fitbrycewang-stanford/Awesome-Journal-SkillsUse before any writing begins to stress-test whether a result clears PNAS's bar — high quality and broad significance to a general scientific readership — and to make the realistic call between PNAS, Science/Nature, and a specialist field journal.Testing★ 1.3K
- statistical-analysisanthropics/knowledge-work-pluginsApply statistical methods including descriptive stats, trend analysis, outlier detection, and hypothesis testing. Use when analyzing distributions, testing for significance, detecting anomalies, computing correlations, or interpreting statistical results.OfficialTesting★ 31.9K
Ratings & reviews
—
no reviews
Tried this skill? Rate it to help others. Sign in
Discussion
Join the discussion. Sign in