Error-corrected estimation of a diagnostic accuracy index of a biomarker against a continuous gold standard.
Mixia WuXiaoyu ZhangWei ZhangXu ZhangAiyi LiuPublished in: Statistics in medicine (2020)
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.
Keyphrases
- glycemic control
- randomized controlled trial
- type diabetes
- clinical trial
- study protocol
- systematic review
- diffusion weighted imaging
- magnetic resonance imaging
- silver nanoparticles
- computed tomography
- magnetic resonance
- emergency department
- machine learning
- phase iii
- insulin resistance
- deep learning
- adverse drug
- artificial intelligence
- contrast enhanced
- double blind