Inference about time-dependent prognostic accuracy measures in the presence of competing risks.

ABSTRACT:

Background

Evaluating a candidate marker or developing a model for predicting risk of future conditions is one of the major goals in medicine. However, model development and assessment for a time-to-event outcome may be complicated in the presence of competing risks. In this manuscript, we propose a local and a global estimators of cause-specific AUC for right-censored survival times in the presence of competing risks.

Methods

The local estimator - cause-specific weighted mean rank (cWMR) - is a local average of time-specific observed cause-specific AUCs within a neighborhood of given time t. The global estimator - cause-specific fractional polynomials (cFPL) - is based on modelling the cause-specific AUC as a function of t through fractional polynomials.

Results

We i

SUBMITTER: Dey R 

PROVIDER: S-EPMC7456384 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature