Nonparametric estimation and inference for polytomous discrimination index.

Published

Journal Article

Polytomous discrimination index is a novel and important diagnostic accuracy measure for multi-category classification. After reconstructing its probabilistic definition, we propose a nonparametric approach to the estimation of polytomous discrimination index based on an empirical sample of biomarker values. In this paper, we provide the finite-sample and asymptotic properties of the proposed estimators and such analytic results may facilitate the statistical inference. Simulation studies are performed to examine the performance of the nonparametric estimators. Two real data examples are analysed to illustrate our methodology.

Full Text

Duke Authors

Cited Authors

  • Li, J; Feng, Q; Fine, JP; Pencina, MJ; Van Calster, B

Published Date

  • October 2018

Published In

Volume / Issue

  • 27 / 10

Start / End Page

  • 3092 - 3103

PubMed ID

  • 28178877

Pubmed Central ID

  • 28178877

Electronic International Standard Serial Number (EISSN)

  • 1477-0334

Digital Object Identifier (DOI)

  • 10.1177/0962280217692830

Language

  • eng

Conference Location

  • England