publication-bias-assessment
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/publication-bias-assessmentAssesses publication bias using funnel plots, Egger's test, and trim-and-fill methods
- Evaluates risk of publication bias in meta-analyses
- Uses effect size distribution and study count as input
- Selects appropriate bias detection methods based on study count
- Generates visual and statistical outputs for bias adjustment
SKILL.md
.github/skills/publication-bias-assessmentView on GitHub ↗
--- 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 --- # Publication Bias Assessment SOP Design the complete publication bias detection and adjustment protocol using visual, statistical, and model-based methods. ## When to Use - After effect sizes are extracted (need precision estimates) - When assessing GRADE certainty (publication bias domain) - When deciding whether pooled estimate may be inflated ## Input - `effect_size_distribution`: Summary of extracted effect sizes and their precision - `study_count`: Number of included studies (determines which methods are feasible) ## Output Complete publication bias assessment protocol with method selection justified by study count and data characteristics.
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