Time‐dependent mediators in survival analysis: Modeling direct and indirect effects with the additive hazards model
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Publication:3299040
DOI10.1002/bimj.201800263zbMath1436.62502arXiv2011.13415OpenAlexW2917141866WikidataQ91699506 ScholiaQ91699506MaRDI QIDQ3299040
Rhian M. Daniel, Mats J. Stensrud, Vanessa Didelez, Susanne Strohmaier, Odd O. Aalen, Kjetil Røysland
Publication date: 17 July 2020
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2011.13415
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Simulating longitudinal data from marginal structural models using the additive hazard model ⋮ Defining And Estimating Principal Stratum Specific Natural Mediation Effects With Semi-competing Risks Data ⋮ Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang ⋮ Model-based hypothesis tests for the causal mediation of semi-competing risks ⋮ Estimation of separable direct and indirect effects in a continuous-time illness-death model ⋮ Special issue dedicated to Odd O. Aalen ⋮ Defining causal mediation with a longitudinal mediator and a survival outcome ⋮ A generalized theory of separable effects in competing event settings ⋮ Causal Mediation for Survival Data: A Unifying Approach via GLM
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