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.
5.4 Proof of Lemma S3 Lemma S 9 (Lemma 1 in [Linderman and Steinerberger, 2019])
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
stat.ME 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
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.