Post-Test Diagnostic Accuracy Measures of a Continuous Test With a Disease of Ordinal Multistages

Authors

Hani Samawi, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Jingjing Yin, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Haresh Rochani, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Chen Mo, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow
Jing Kersey, Georgia Southern University, Jiann-Ping Hsu College of Public HealthFollow

Document Type

Article

Publication Date

2-9-2021

Publication Title

Statistics in Biopharmaceutical Research

DOI

10.1080/19466315.2021.1873841

ISSN

1946-6315

Abstract

Positive predicted value and negative predicted value are used by clinicians to evaluate how likely a disease stage is present given the test results. In contrast, positive and negative likelihood ratios (LRs) are used in practice to assess the potential utility of a specific diagnostic test and the likelihood of a patient having the condition. This article introduces the concepts and the derivation of generalized predictive values and LRs from binary diseases to ordinal multistages diseases. We evaluate the performance of the proposed methods with numerical examples. We illustrated the proposed methods provided using real data.

Comments

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Recommended Citation

Samawi, Hani, Jingjing Yin, Haresh Rochani, Chen Mo, Jing Kersey. 2021. "Post-Test Diagnostic Accuracy Measures of a Continuous Test With a Disease of Ordinal Multistages." Statistics in Biopharmaceutical Research: Taylor & Francis Online. doi: 10.1080/19466315.2021.1873841
https://digitalcommons.georgiasouthern.edu/bee-facpubs/301

Copyright

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