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Design leave-one-out, influence diagnostics, subgroup analyses, and robustness checks
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Basado en la clasificación ocupacional SOC
SOTA Performance Baseline Campaign — 5 strategies for systematically collecting, standardizing, and analyzing performance data across methods. Produces standardized comparison tables, progress curves, and headroom analysis.
Assess systematic biases in the evidence body — publication bias, reporting bias, and selective outcome reporting. Budget: 40 studies, 40 effect sizes, 40 web searches.
Track evidence accumulation over time — cumulative meta-analysis protocol design. Budget: 40 studies, 40 effect sizes, 30 web searches.
Design structured data extraction form for systematic meta-analysis data collection
Systematically extract effect sizes and conditions from papers for meta-analytic synthesis
Determine effect size types and calculation methods for meta-analytic synthesis
| 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 |
Design comprehensive sensitivity analyses to test the robustness of meta-analytic conclusions under different assumptions and exclusion criteria.
included_studies: List of included studies with characteristicspotential_outliers: Studies flagged as potential outliers or influential casessubgroup_variables: Variables for pre-specified subgroup analysesComplete sensitivity analysis plan specifying each analysis, its rationale, and interpretation framework.