メニュー
Plan funnel plots, Egger's test, trim-and-fill, p-curve, and selection model analyses for publication bias
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.
Design structured data extraction form for systematic meta-analysis data collection
Systematically extract effect sizes and conditions from papers for meta-analytic synthesis
Determine effect size types and calculation methods for meta-analytic synthesis
| name | publication-bias-assessment |
| description | Plan funnel plots, Egger's test, trim-and-fill, p-curve, and selection model analyses for publication bias |
| execution | subagent |
| prompt | ./prompt.md |
| input | effect_size_distribution, study_count |
| used-by | meta-analysis |
Design the complete publication bias detection and adjustment protocol using visual, statistical, and model-based methods.
effect_size_distribution: Summary of extracted effect sizes and their precisionstudy_count: Number of included studies (determines which methods are feasible)Complete publication bias assessment protocol with method selection justified by study count and data characteristics.