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Plan funnel plots, Egger's test, trim-and-fill, p-curve, and selection model analyses for publication bias
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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.