A TMLE-based procedure delivers data-adaptive, model-robust covariate adjustment for survival outcomes while respecting stratified randomization, yielding efficiency gains when the optimal covariate set is unknown in advance.
D.1 Methods D.1.1 AIPW Our AIPW approach is as follows
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Data-Adaptive and Model-Robust Covariate Adjustment for Time-to-Event Outcomes in Stratified Randomized Trials
A TMLE-based procedure delivers data-adaptive, model-robust covariate adjustment for survival outcomes while respecting stratified randomization, yielding efficiency gains when the optimal covariate set is unknown in advance.