Predictive accuracy of markers or risk scores for interval censored survival data.

Journal Article (Journal Article)

Methods for the evaluation of the predictive accuracy of biomarkers with respect to survival outcomes subject to right censoring have been discussed extensively in the literature. In cancer and other diseases, survival outcomes are commonly subject to interval censoring by design or due to the follow up schema. In this article, we present an estimator for the area under the time-dependent receiver operating characteristic (ROC) curve for interval censored data based on a nonparametric sieve maximum likelihood approach. We establish the asymptotic properties of the proposed estimator and illustrate its finite-sample properties using a simulation study. The application of our method is illustrated using data from a cancer clinical study. An open-source R package to implement the proposed method is available on Comprehensive R Archive Network.

Full Text

Duke Authors

Cited Authors

  • Wu, Y; Wang, X; Lin, J; Jia, B; Owzar, K

Published Date

  • August 15, 2020

Published In

Volume / Issue

  • 39 / 18

Start / End Page

  • 2437 - 2446

PubMed ID

  • 32293745

Pubmed Central ID

  • PMC7806230

Electronic International Standard Serial Number (EISSN)

  • 1097-0258

Digital Object Identifier (DOI)

  • 10.1002/sim.8547


  • eng

Conference Location

  • England