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Bayesian Meta-Analysis of the Accuracy of a Test for Tuberculous Pleuritis in the Absence of a Gold Standard Reference

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  • Nandini Dendukuri
  • Ian Schiller
  • Lawrence Joseph
  • Madhukar Pai

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  • Nandini Dendukuri & Ian Schiller & Lawrence Joseph & Madhukar Pai, 2012. "Bayesian Meta-Analysis of the Accuracy of a Test for Tuberculous Pleuritis in the Absence of a Gold Standard Reference," Biometrics, The International Biometric Society, vol. 68(4), pages 1285-1293, December.
    • Handle: RePEc:bla:biomet:v:68:y:2012:i:4:p:1285-1293
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2012.01773.x
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    References listed on IDEAS

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    1. Nandini Dendukuri & Lawrence Joseph, 2001. "Bayesian Approaches to Modeling the Conditional Dependence Between Multiple Diagnostic Tests," Biometrics, The International Biometric Society, vol. 57(1), pages 158-167, March.
    2. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    3. Chu, Haitao & Chen, Sining & Louis, Thomas A., 2009. "Random Effects Models in a Meta-Analysis of the Accuracy of Two Diagnostic Tests Without a Gold Standard," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 512-523.
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    Cited by:

    1. Maria M Wertli & Florian Brunner & Johann Steurer & Ulrike Held, 2017. "Usefulness of bone scintigraphy for the diagnosis of Complex Regional Pain Syndrome 1: A systematic review and Bayesian meta-analysis," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-18, March.
    2. Charles H King & David Bertsch, 2013. "Meta-analysis of Urine Heme Dipstick Diagnosis of Schistosoma haematobium Infection, Including Low-Prevalence and Previously-Treated Populations," PLOS Neglected Tropical Diseases, Public Library of Science, vol. 7(9), pages 1-14, September.
    3. Yulun Liu & Yong Chen & Haitao Chu, 2015. "A unification of models for meta-analysis of diagnostic accuracy studies without a gold standard," Biometrics, The International Biometric Society, vol. 71(2), pages 538-547, June.

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