The M-survival learner estimates heterogeneous indirect treatment effects in censored survival data and supplies a new criterion to detect mediation heterogeneity for surrogate endpoint validation.
(1) b # 1 2b √ for any a ∈ R. For any l′ ̸= l, because µ(1) and µ(1) are independent, we can let a = µ(1) in the last equation, which tell us l l′ l′ P
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Modeling Heterogeneous Mediation Effects in Survival Analysis via an Interpretable M-Learner Framework
The M-survival learner estimates heterogeneous indirect treatment effects in censored survival data and supplies a new criterion to detect mediation heterogeneity for surrogate endpoint validation.