New orthogonal risk functions are derived for conditional OR and RR, with simulations and NHANES data showing nonparametric estimators reduce bias compared to parametric alternatives in complex settings.
Regression Modeling Strategies: With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
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Orthogonal machine learning for conditional odds and risk ratios
New orthogonal risk functions are derived for conditional OR and RR, with simulations and NHANES data showing nonparametric estimators reduce bias compared to parametric alternatives in complex settings.