Medical diagnostics accuracy measures and cut-point selection: An innovative approach based on relative net benefit-Reference-Cited by-同舟云学术

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Medical diagnostics accuracy measures and cut-point selection: An innovative approach based on relative net benefit

Published:2021-11-08 Issue: Volume: Page:1-16
ISSN:0361-0926
Container-title:Communications in Statistics - Theory and Methods
language:en
Short-container-title:Communications in Statistics - Theory and Methods

Author:

Samawi Hani¹,Chen Ding-Geng²,Ahmed Ferdous¹,Kersey Jing¹

Affiliation:

1. Department of Biostatistics, Epidemiology and Environmental Health Sciences, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, Georgia, USA

2. College of Health Solutions, Arizona State University, Phoenix, Arizona, USA

Publisher

Informa UK Limited

Subject

Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/03610926.2021.2001016

Reference22 articles.

1. Using relative utility curves to evaluate risk prediction

2. Randomised comparisons of medical tests: sometimes invalid, not always efficient

3. Benefit-risk Evaluation for Diagnostics: A Framework (BED-FRAME)

4. On criteria for evaluating models of absolute risk

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Net benefit of diagnostic tests for multistate diseases: an indicator variables approach;Journal of Biopharmaceutical Statistics;2023-01-29

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