# Sensitivity Analysis Design

> Design leave-one-out, influence diagnostics, subgroup analyses, and robustness checks

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

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# Sensitivity Analysis Design SOP

Design comprehensive sensitivity analyses to test the robustness of meta-analytic conclusions under different assumptions and exclusion criteria.

## When to Use

- After primary analysis plan is established
- When outliers or influential studies are identified
- When methodological decisions could affect conclusions

## Input

- `included_studies`: List of included studies with characteristics
- `potential_outliers`: Studies flagged as potential outliers or influential cases
- `subgroup_variables`: Variables for pre-specified subgroup analyses

## Output

Complete sensitivity analysis plan specifying each analysis, its rationale, and interpretation framework.

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## 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. |

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