publication-bias-assessment

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/publication-bias-assessment

Assesses 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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