# 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` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add yogsoth-ai/publication-bias-assessment`
- Raw SKILL.md: https://api.skillmd.com/api/skills/yogsoth-ai/publication-bias-assessment/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: yogsoth-ai (https://skillmd.com/u/yogsoth-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/yogsoth-ai/publication-bias-assessment

---


# 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.

<!-- BEGIN available-tables (generated) -->

## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| spawn-agent | Spawn a customized CC subagent with full MCP tool access. Used by SOPs that declare execution: subagent. |

<!-- END available-tables (generated) -->