Meta Analysis
Statistical methods for combining results across multiple studies.
Install
npx skills add aiming-lab/AutoResearchClaw --skill meta-analysis -g -a claude-code -y- Repository
- aiming-lab/AutoResearchClaw14.8k
- Category
- Engineering
- Updated
- 3mo ago
- License
- MIT
- Context cost
- Lightabout 121 tokens
- Runs scripts
- No, instructions only
What it does
Statistical methods for combining results across multiple studies. Use when aggregating cross-study or cross-experiment results.
Meta-Analysis Best Practice
When comparing results across studies or experiments:
- Report effect sizes, not just p-values
- Use standardized metrics for cross-study comparison
- Account for heterogeneity (different setups, datasets, seeds)
- Report confidence intervals alongside point estimates
- Use forest plots to visualize cross-study comparisons
- Identify and discuss outliers or inconsistent results
- Consider publication bias when interpreting aggregate results
