On the estimation of average treatment effects with right‐censored time to event outcome and competing risks
BMH Ozenne, TH Scheike, L Stærk… - Biometrical …, 2020 - Wiley Online Library
We are interested in the estimation of average treatment effects based on right‐censored
data of an observational study. We focus on causal inference of differences between t‐year
absolute event risks in a situation with competing risks. We derive doubly robust estimation
equations and implement estimators for the nuisance parameters based on working
regression models for the outcome, censoring, and treatment distribution conditional on
auxiliary baseline covariates. We use the functional delta method to show that these …
data of an observational study. We focus on causal inference of differences between t‐year
absolute event risks in a situation with competing risks. We derive doubly robust estimation
equations and implement estimators for the nuisance parameters based on working
regression models for the outcome, censoring, and treatment distribution conditional on
auxiliary baseline covariates. We use the functional delta method to show that these …
On the estimation of average treatment effects with right-censored time to event outcome and competing risks
B Maxime Hugues Ozenne, T Harder Scheike… - arXiv e …, 2019 - ui.adsabs.harvard.edu
We are interested in the estimation of average treatment effects based on right-censored
data of an observational study. We focus on causal inference of differences between t-year
absolute event risks in a situation with competing risks. We derive doubly robust estimation
equations and implement estimators for the nuisance parameters based on working
regression models for the outcome, the censoring and the treatment distribution conditional
on auxiliary baseline covariates. We use the functional delta method to show that our …
data of an observational study. We focus on causal inference of differences between t-year
absolute event risks in a situation with competing risks. We derive doubly robust estimation
equations and implement estimators for the nuisance parameters based on working
regression models for the outcome, the censoring and the treatment distribution conditional
on auxiliary baseline covariates. We use the functional delta method to show that our …
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