Medical & Healthcare
Confounder And Bias Control Planner
Plans confounder control, variable adjustment logic, and bias mitigation strategies at the protocol stage for clinical, epidemiologic, translational, observational, and biomarker studies. Always use this skill when a user needs to identify major confounders, decide which variables should or should not be adjusted for, compare matching/stratification/weighting approaches, anticipate selection or measurement bias, or pressure-test a study design before execution. Focus on bias sensing, causal structure awareness, variable-role classification, and critical design review rather than generic statistical advice.
- Publisher / source
- aipoch/medical-research-skills (found on GitHub top repositories)
- Upstream record
- aipoch/medical-research-skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-07
- Content fingerprint
7d5c283f79a8b9cfb461c5db7f79dda0be46ed653aab88c4471d1186c65b005d