sensitivity-analysis-design

name	sensitivity-analysis-design
description	Design leave-one-out, influence diagnostics, subgroup analyses, and robustness checks
execution	subagent
prompt	./prompt.md
input	included_studies, potential_outliers, subgroup_variables
used-by	meta-analysis

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.