The paper proposes a general toolbox of orthogonal survival learners with custom weighting functions to estimate heterogeneous treatment effects robustly under treatment, censoring, and survival overlap violations.
One-step targeted maximum likelihood for time-to- event outcomes
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Orthogonal Survival Learners for Estimating Heterogeneous Treatment Effects from Time-to-Event Data
The paper proposes a general toolbox of orthogonal survival learners with custom weighting functions to estimate heterogeneous treatment effects robustly under treatment, censoring, and survival overlap violations.