Estimation of Direct Effects for Survival Data by using the Aalen Additive Hazards Model
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Publication:3107203
DOI10.1111/j.1467-9868.2011.00782.xzbMath1228.62126OpenAlexW1795620328WikidataQ58819083 ScholiaQ58819083MaRDI QIDQ3107203
Stijn Vansteelandt, Jacob von Bornemann Hjelmborg, Mette Gerster, Torben Martinussen
Publication date: 21 December 2011
Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/j.1467-9868.2011.00782.x
Monte Carlo methods (65C05) Estimation in survival analysis and censored data (62N02) Sequential estimation (62L12)
Related Items (9)
Causal mediation analysis on failure time outcome without sequential ignorability ⋮ Quantifying direct and indirect effect for longitudinal mediator and survival outcome using joint modeling approach ⋮ Performance of methods to conduct mediation analysis with time‐to‐event outcomes ⋮ Counterfactual analyses with graphical models based on local independence ⋮ Structural Nested Cumulative Failure Time Models to Estimate the Effects of Interventions ⋮ Revisiting g-estimation of the effect of a time-varying exposure subject to time-varying confounding ⋮ Integrative genomics with mediation analysis in a survival context ⋮ On collapsibility and confounding bias in Cox and Aalen regression models ⋮ Structural nested models and G-estimation: the partially realized promise
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