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confounder-and-bias-control-planner

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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.

When to use

• identify major confounders
• decide which variables should or should not be adjusted for
• compare matching/stratification/weighting approaches
• anticipate selection or measurement bias
• pressure-test a study design before execution
• bias sensing
• causal structure awareness
• variable-role classification

When not to use

• direct patient-specific treatment advice
• compute actual estimates from data
• purely predictive feature selection without bias-control purpose
• non-biomedical protocol or statistics requests

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