On the estimation of average treatment effects with right‐censored time to event outcome and competing risks
From MaRDI portal
Publication:3299075
DOI10.1002/bimj.201800298zbMath1436.62613arXiv1907.12912OpenAlexW3104807206WikidataQ89676163 ScholiaQ89676163MaRDI QIDQ3299075
Thomas H. Scheike, Brice Maxime Hugues Ozenne, Laila Stærk, Thomas A. Gerds
Publication date: 17 July 2020
Published in: Biometrical Journal (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1907.12912
Related Items (3)
Efficient t0$$ {t}_0 $$‐year risk regression using the logistic model ⋮ Efficient Estimation in the Fine and Gray Model ⋮ On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects
This page was built for publication: On the estimation of average treatment effects with right‐censored time to event outcome and competing risks