Unknown

Dataset Information

Evaluating incremental values from new predictors with net reclassification improvement in survival analysis.


ABSTRACT: Developing individualized prediction rules for disease risk and prognosis has played a key role in modern medicine. When new genomic or biological markers become available to assist in risk prediction, it is essential to assess the improvement in clinical usefulness of the new markers over existing routine variables. Net reclassification improvement (NRI) has been proposed to assess improvement in risk reclassification in the context of comparing two risk models and the concept has been quickly adopted in medical journals (Pencina et al., Stat Med 27:157-172, 2008). We propose both nonparametric and semiparametric procedures for calculating NRI as a function of a future prediction time [Formula: see text] with a censored failure time outcome. The proposed methods accommodate covariate-depe

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC3686882 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature