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stat.ME2021
Ranking of average treatment effects with generalized random forests for time-to-event outcomes
Helene C. W. Rytgaard, Claus T. Ekstrøm, Lars V. Kessing +1
In this paper we present a data-adaptive estimation procedure for estimation of average treatment effects in a time-to-event setting based on generalized random forests. In these k…
stat.ME2019
On the estimation of average treatment effects with right-censored time to event outcome and competing risks
Brice Maxime Hugues Ozenne, Thomas Harder Scheike, Laila Stærk +1
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…
stat.ME2013
A competing risks approach for nonparametric estimation of transition probabilities in a non-Markov illness-death model
Arthur Allignol, Jan Beyersmann, Thomas Gerds +1
Competing risks model time to first event and type of first event. An example from hospital epidemiology is the incidence of hospital-acquired infection, which has to account for h…