Quantifying diagnostic accuracy improvement of new biomarkers for competing risk outcomes.

ABSTRACT: The net reclassification improvement (NRI) and the integrated discrimination improvement (IDI) were originally proposed to characterize accuracy improvement in predicting a binary outcome, when new biomarkers are added to regression models. These two indices have been extended from binary outcomes to multi-categorical and survival outcomes. Working on an AIDS study where the onset of cognitive impairment is competing risk censored by death, we extend the NRI and the IDI to competing risk outcomes, by using cumulative incidence functions to quantify cumulative risks of competing events, and adopting the definitions of the two indices for multi-category outcomes. The "missing" category due to independent censoring is handled through inverse probability weighting. Various competing risk model

SUBMITTER: Wang Z 

PROVIDER: S-EPMC9017290 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature