yogsoth-ai 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 precisionstudy_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.
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. |