Simulation study shows g-computation for risk differences in small trials inflates Type I error under standard Wald inference due to estimand-variance mismatch, while robust variants and classical Mantel-Haenszel methods control error better with power trade-offs.
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Assessing covariate-adjusted risk differences in small-sample clinical trials
Simulation study shows g-computation for risk differences in small trials inflates Type I error under standard Wald inference due to estimand-variance mismatch, while robust variants and classical Mantel-Haenszel methods control error better with power trade-offs.