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Estimating Diagnostic Accuracy from Multiple Conflicting Reports

Author

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  • Benjamin Littenberg
  • Lincoln E. Moses

Abstract

Reports of diagnostic accuracy often differ. The authors present a method to summarize disparate reports that uses a logistic transformation and linear regression to produce a summary receiver operating characteristic curve. The curve is useful for summarizing a body of diagnostic accuracy literature, comparing technologies, detecting outliers, and finding the optimum operating point of the test. Examples from clinical chemistry and diagnostic radiology are provided. By extending the logic of meta-analysis to diagnostic testing, the method provides a new tool for technology assessment. Key words: meta-analysis; sensitivity and specificity; decision support; data interpretation, statistical; regression analysis; diagnostic accuracy. (Med Decis Making 1993;13:313-321)

Suggested Citation

  • Benjamin Littenberg & Lincoln E. Moses, 1993. "Estimating Diagnostic Accuracy from Multiple Conflicting Reports," Medical Decision Making, , vol. 13(4), pages 313-321, December.
    • Handle: RePEc:sae:medema:v:13:y:1993:i:4:p:313-321
    DOI: 10.1177/0272989X9301300408
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    Cited by:

    1. Jia Song & Jixiang Zhang & Jun Wang & Xufeng Guo & Jing Wang & Ya Liu & Weiguo Dong, 2014. "Meta-Analysis: Narrow Band Imaging for Diagnosis of Gastric Intestinal Metaplasia," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-8, April.
    2. Philipp Doebler & Heinz Holling, 2015. "Meta-analysis of Diagnostic Accuracy and ROC Curves with Covariate Adjusted Semiparametric Mixtures," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 1084-1104, December.
    3. Guang Cheng & Sarah Yini Gao & Yancheng Yuan & Chenxiao Zhang & Zhichao Zheng, 2022. "On the Test Accuracy and Effective Control of the COVID-19 Pandemic: A Case Study in Singapore," Interfaces, INFORMS, vol. 52(6), pages 524-538, November.
    4. James C. Felli & Gordon B. Hazen, 2004. "Javelin Diagrams: A Graphical Tool for Probabilistic Sensitivity Analysis," Decision Analysis, INFORMS, vol. 1(2), pages 93-107, June.
    5. Daphne I Ling & Laura L Flores & Lee W Riley & Madhukar Pai, 2008. "Commercial Nucleic-Acid Amplification Tests for Diagnosis of Pulmonary Tuberculosis in Respiratory Specimens: Meta-Analysis and Meta-Regression," PLOS ONE, Public Library of Science, vol. 3(2), pages 1-11, February.

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