1998•Statistical Methods in Medical ResearchRequires access

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

Xiao‐Hua Zhou

Open publisher page 113 citations

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.

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What this paper is about

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.

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OpenAlex reports 113 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Diagnostic accuracy, Diagnostic test, Test (biology), Statistics, Computer science, Econometrics, Medicine, Mathematics

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