Standardized and weighted time-dependent receiver operating characteristic curves to evaluate the intrinsic prognostic capacities of a marker by taking into account confounding factors

• Published in: Statistical methods in medical research Vol. 27; no. 11; p. 3397
• Main Authors: Le Borgne, Florent, Combescure, Christophe, Gillaizeau, Florence, Giral, Magali, Chapal, Marion, Giraudeau, Bruno, Foucher, Yohann
• Format: Journal Article
• Language: English
• Published: England 01.11.2018
• Subjects: confounding factors; inverse probability weighting; Prognostic capacities; receiver operating characteristic curve; time-to-event data; propensity score
• ISSN: 1477-0334
• DOI: 10.1177/0962280217702416

Time-dependent receiver operating characteristic curves allow to evaluate the capacity of a marker to discriminate between subjects who experience the event up to a given prognostic time from those who are free of this event. In this article, we propose an inverse probability weighting estimator of a standardized and weighted time-dependent receiver operating characteristic curve. This estimator provides a measure of the prognostic capacities by taking into account potential confounding factors. We illustrate the robustness of the estimator by a simulation-based study and its usefulness by two applications in kidney transplantation.