systematic-review-epi
CommunityPool evidence, quantify bias, and rate certainty.
Education & Research#systematic review#meta-analysis#meta-regression#publication bias#GRADE#forest plot#public health
Authorxjtulyc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you synthesize results across studies for public-health questions by computing pooled effects, assessing heterogeneity, detecting publication bias, and summarizing evidence quality.
Core Features & Use Cases
- Meta-analysis (fixed and random effects): Pool study-level effect sizes into a combined estimate (e.g., OR/RR/RD/SMD) with confidence intervals using heterogeneity-aware models.
- Heterogeneity diagnostics: Calculate Cochran’s Q and I² to quantify between-study variability.
- Publication bias evaluation: Run Egger’s test, perform Begg-style rank correlation tests, and produce funnel plots.
- Meta-regression: Explore whether study-level covariates (e.g., setting, year) explain heterogeneity.
- GRADE evidence synthesis: Produce a structured quality rating of the overall evidence.
Quick Start
Use the systematic-review-epi Skill to meta-analyze your extracted study effect sizes and standard errors, then generate forest plot results and publication-bias diagnostics in one pass.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: systematic-review-epi Download link: https://github.com/xjtulyc/awesome-rosetta-skills/archive/main.zip#systematic-review-epi Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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