Empirical likelihood inference for area under the receiver operating characteristic curve using ranked set samples.
AUC
Mann-Whitney statistic
diagnostic test
profile empirical likelihood
ranked set sampling
Journal
Pharmaceutical statistics
ISSN: 1539-1612
Titre abrégé: Pharm Stat
Pays: England
ID NLM: 101201192
Informations de publication
Date de publication:
11 2022
11 2022
Historique:
revised:
17
03
2022
received:
09
07
2021
accepted:
02
05
2022
pubmed:
21
5
2022
medline:
18
11
2022
entrez:
20
5
2022
Statut:
ppublish
Résumé
The area under a receiver operating characteristic curve (AUC) is a useful tool to assess the performance of continuous-scale diagnostic tests on binary classification. In this article, we propose an empirical likelihood (EL) method to construct confidence intervals for the AUC from data collected by ranked set sampling (RSS). The proposed EL-based method enables inferences without assumptions required in existing nonparametric methods and takes advantage of the sampling efficiency of RSS. We show that for both balanced and unbalanced RSS, the EL-based point estimate is the Mann-Whitney statistic, and confidence intervals can be obtained from a scaled chi-square distribution. Simulation studies and two case studies on diabetes and chronic kidney disease data suggest that using the proposed method and RSS enables more efficient inference on the AUC.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1219-1245Informations de copyright
© 2022 John Wiley & Sons Ltd.
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