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Error‐corrected estimation of a diagnostic accuracy index of a biomarker against a continuous gold standard
Author(s) -
Wu Mixia,
Zhang Xiaoyu,
Zhang Wei,
Zhang Xu,
Liu Aiyi
Publication year - 2020
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.8818
Subject(s) - estimator , gold standard (test) , standard error , statistics , reliability (semiconductor) , consistency (knowledge bases) , index (typography) , asymptotic distribution , observational error , computer science , standard deviation , mathematics , artificial intelligence , world wide web , power (physics) , physics , quantum mechanics
This article concerns evaluating the effectiveness of a continuous diagnostic biomarker against a continuous gold standard that is measured with error. Extending the work of Obuchowski (2005, 2016), Wu et al (2016) suggested an accuracy index and proposed an estimator for the index with error‐prone standard when the reliability coefficient is known. Combining with additional measurements (without measurement errors) on the continuous gold standard collected from some subjects, this article proposes two adaptive estimators of the accuracy index when the reliability coefficient is unknown, and further establish the consistency and asymptotic normality of these estimators. Simulation studies are conducted to compare various estimators. Data from an intervention trial on glycemic control among children with type 1 diabetes are used to illustrate the proposed methods.