@article{f7e1192924e1473bb1bf22d40e9ff0ec,
title = "Estimation of incident dynamic AUC in practice",
abstract = "The incident/dynamic time-dependent AUC (Area Under the ROC Curve) is an appealing measure to express the discriminative value of a dynamic survival model over time. However, estimation of this measure is not straightforward. Four recently proposed estimation approaches are studied. In an extensive simulation study, a head-to-head comparison between these four estimation methods is made. The estimation algorithms of some of the methods are extended. Results are illustrated with a motivating dynamic survival model from Reproductive Medicine.",
keywords = "Concordance index, Discriminative ability, Dynamic survival model, Prediction 1, Time-dependent AUC",
author = "{van Geloven}, N. and Y. He and Zwinderman, {A. H.} and H. Putter",
note = "Funding Information: We are grateful to the CECERM study group (Collaborative Effort for Clinical Evaluation in Reproductive Medicine) who collected the motivating data presented here with grant support from ZonMw, the Netherlands Organization for Health Research and Development, The Hague, the Netherlands, grant 945/12/002 (Van der Steeg et al. 2007). We also thank Ilaria Prosepe for proofreading this manuscript. This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. Publisher Copyright: {\textcopyright} 2020 The Authors",
year = "2021",
month = feb,
day = "1",
doi = "https://doi.org/10.1016/j.csda.2020.107095",
language = "English",
volume = "154",
journal = "Computational Statistics & Data Analysis",
issn = "0167-9473",
publisher = "Elsevier",
}