# Publication Bias Assessment

> Plan funnel plots, Egger's test, trim-and-fill, p-curve, and selection model analyses for publication bias

- Skill: `yogsoth-ai/publication-bias-assessment-2` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/publication-bias-assessment-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/publication-bias-assessment-2/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/yogsoth-ai/publication-bias-assessment-2

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# 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.