2 papers
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…