Correcting for verification bias in studies of a diagnostic test's accuracy-Reference-Cited by-同舟云学术

Correcting for verification bias in studies of a diagnostic test's accuracy

Published:1998-08 Issue:4 Volume:7 Page:337-353
ISSN:0962-2802
Container-title:Statistical Methods in Medical Research
language:en
Short-container-title:Stat Methods Med Res

Author:

Zhou Xiao-Hua¹

Affiliation:

1. Division of Biostatistics, Department of Medicine, Indiana University School of Medicine, and the Regenstrief Institute for Health Care, Indianapolis, USA,

Abstract

Standard methods for assessing the accuracy of diagnostic tests require determination of true disease status for each study patient. In practice, some study patients might not have verified disease status. If the decision to verify a patient is influenced by the test result, analysis using only verified cases might lead to biased results, commonly known as verification bias. This paper reviews recent developments in bias-correction methods for studies on the accuracy of diagnostic tests.

Publisher

SAGE Publications

Subject

Health Information Management,Statistics and Probability,Epidemiology

Link

http://journals.sagepub.com/doi/pdf/10.1177/096228029800700403

Reference41 articles.

1. Comparison of Magnetic Resonance Imaging and Ultrasonography in Staging Early Prostate Cancer

2. Assessment of Diagnostic Tests When Disease Verification is Subject to Selection Bias

3. Problems of Spectrum and Bias in Evaluating the Efficacy of Diagnostic Tests

4. Sensitivity and specificity of tests: Can the “silent majority” speak?

Cited by 54 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. Assessing risk of bias and applicability;Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy;2023-06-16

2. Principled leveraging of external data in the evaluation of diagnostic devices via the propensity score‐integrated composite likelihood approach;Pharmaceutical Statistics;2023-03-05

3. Developing a reference standard for pertussis by applying a stratified sampling strategy to electronic medical record data;Annals of Epidemiology;2023-01

4. Assessing Bias and Limitations of Clinical Validation Studies of Molecular Diagnostic Tests for Indeterminate Thyroid Nodules: Systematic Review and Meta-Analysis;Thyroid;2022-09-26

5. Adjusting for verification bias in diagnostic accuracy measures when comparing multiple screening tests - an application to the IP1-PROSTAGRAM study;BMC Medical Research Methodology;2022-03-18