conducting-meta-analyses
Performs meta-analysis with heterogeneity assessment, forest plot generation, and GRADE evidence grading. Use when conducting meta-analyses, assessing heterogeneity, or grading evidence quality.
npx skills add majiayu000/claude-skill-registry --skill conducting-meta-analyses --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Conducting Meta-Analyses ## Why This Skill Exists Meta-analysis quantitatively synthesizes results across multiple studies to produce pooled effect estimates with greater precision than any individual trial. It is the statistical engine behind systematic reviews, health technology assessments, and regulatory benefit-risk evaluations. Poorly conducted meta-analyses — using inappropriate pooling models, ignoring heterogeneity, or failing to assess publication bias — produce misleading conclusions that can harm patients and distort policy. This skill implements Cochrane Handbook methodology, PRISMA reporting standards, and GRADE evidence assessment for defensible quantitative synthesis. --- ## Checkpoint A — Intake and Scoping ### Required Intake Questions 1. Is this meta-analysis part of a registered systematic review (PROSPERO ID)? 2. What is the clinical question in PICOS format? 3. What is the primary effect measure (risk ratio, odds ratio, hazard ratio, mean difference, standardized mean difference)? 4. Are individual participant data (IPD) available, or is this an aggregate-data meta-analysis? 5. How many studies are expected to be included (impacts model choice and publicatio
- Why This Skill Exists
- Checkpoint A — Intake and Scoping
- Required Intake Questions
- Required Source Documents
- Step 1 — Select the Effect Measure
- Binary Outcomes
- Continuous Outcomes
- Time-to-Event Outcomes
- Count/Rate Data
- Step 2 — Choose the Statistical Model
- Fixed-Effect Model
- Random-Effects Model
- Model Selection Decision
- Step 3 — Assess and Quantify Heterogeneity
What does the conducting-meta-analyses skill do?
Performs meta-analysis with heterogeneity assessment, forest plot generation, and GRADE evidence grading. Use when conducting meta-analyses, assessing heterogeneity, or grading evidence quality.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill conducting-meta-analyses --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.