A risk-based measure of time-varying prognostic discrimination for survival models.

ABSTRACT: Prognostic survival models are commonly evaluated in terms of both their calibration and their discrimination. Comparing observed and predicted survival curves can assess calibration, while discrimination is typically summarized through comparison of the properties of cases or subjects who experience an event, and the properties of controls represented by event-free individuals. For binary data, discrimination is characterized either by using the relative ranks of cases and controls and a receiver operating characteristic (ROC) curve, or by summarizing the magnitude of risk placed on cases and controls through calculation of the discrimination slope (DS). In this article, we propose a risk-based measure of time-varying discrimination that generalizes the discrimination slope to allow use w

SUBMITTER: Liang CJ 

PROVIDER: S-EPMC5466878 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature