Evaluating prognostic accuracy of biomarkers under competing risk.

ABSTRACT: To develop more targeted intervention strategies, an important research goal is to identify markers predictive of clinical events. A crucial step toward this goal is to characterize the clinical performance of a marker for predicting different types of events. In this article, we present statistical methods for evaluating the performance of a prognostic marker in predicting multiple competing events. To capture the potential time-varying predictive performance of the marker and incorporate competing risks, we define time- and cause-specific accuracy summaries by stratifying cases based on causes of failure. Such definition would allow one to evaluate the predictive accuracy of a marker for each type of event and compare its predictiveness across event types. Extending the nonparametric cru

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC3694786 | biostudies-literature | 2012 Jun

REPOSITORIES: biostudies-literature