ReddRadar
Agent skill
meta-analysis
Statistical methods for combining results across multiple studies. Use when aggregating cross-study or cross-experiment results.
Install this agent skill to your Project
npx add-skill https://github.com/aiming-lab/AutoResearchClaw/tree/main/researchclaw/skills/builtin/experiment/meta-analysis
Metadata
Additional technical details for this skill
- author
- researchclaw
- version
- 1.0
- category
- experiment
- priority
- 5
- references
- Borenstein et al., Introduction to Meta-Analysis, 2009
- trigger keywords
- meta-analysis,effect size,pooled,cross-study,aggregat
- applicable stages
- 7,14
SKILL.md
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
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