1 Université de Nantes, Université de Tours, INSERM, SPHERE U1246, Nantes, France.
2 IDBC/A2com, Pace, France.
Stat Methods Med Res. 2018 Nov;27(11):3397-3410. doi: 10.1177/0962280217702416. Epub 2017 Jun 20.
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.
时间依赖性受试者工作特征曲线可用于评估标志物区分在特定预后时间内发生事件的受试者与未发生该事件的受试者的能力。本文提出了一种标准化和加权时间依赖性受试者工作特征曲线的逆概率加权估计量。该估计量通过考虑潜在的混杂因素来提供预后能力的度量。通过基于模拟的研究验证了该估计量的稳健性，并通过肾移植的两个应用说明了其有用性。
