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.
Then, pij’s satisfy (1)-(4) in Lemma S1 with δ = Θ(α/n), ϵ = 2/n and η = 0.01
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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.