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skills/sensitivity-analysis/SKILL.md

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+---
+name: sensitivity-analysis
+description: "Conduct sensitivity analyses to test robustness of findings. Use when: (1) Testing assumption violations, (2) Meta-analysis robustness, (3) Handling missing data, (4) Examining outliers."
+allowed-tools: Read, Write, Bash
+version: 1.0.0
+---
+
+# Sensitivity Analysis Skill
+
+## Purpose
+Test whether findings are robust to analytical decisions and assumptions.
+
+## Types of Sensitivity Analyses
+
+**1. Exclusion Analyses**
+- Remove outliers
+- Remove high risk-of-bias studies
+- One-study-removed analysis
+
+**2. Analytical Decisions**
+- Different statistical tests
+- Parametric vs non-parametric
+- Different transformations
+
+**3. Missing Data**
+- Complete case analysis
+- Best-case scenario
+- Worst-case scenario
+- Multiple imputation
+
+**4. Measurement**
+- Different outcome definitions
+- Different time points
+- Alternative scoring methods
+
+## Interpretation
+
+**Robust Findings:**
+- Results consistent across analyses
+- Conclusions unchanged
+- High confidence
+
+**Sensitive Findings:**
+- Results vary by decision
+- Interpret with caution
+- Report uncertainty
+
+## Example
+
+"Results were robust to removal of the highest risk-of-bias study (d=0.48 vs d=0.52) and remained significant when using non-parametric tests (p=.002)."
+
+---
+**Version:** 1.0.0