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Determining sample size to evaluate and compare the accuracy of binary diagnostic tests in the presence of partial disease verification

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  • Roldán Nofuentes, J.A.
  • Luna del Castillo, J.D.
  • Montero Alonso, M.A.

Abstract

Calculating sample size to evaluate the accuracy of a binary diagnostic test and to compare the accuracy of two binary diagnostic tests is an important question in the study of diagnostic statistical methods. In the presence of partial disease verification, the disease status of some patients in the sample is unknown, so that the calculation of sample size can be complicated. A method to calculate sample size when evaluating the sensitivity and the specificity of a binary diagnostic test and when comparing the sensitivity and specificity of two binary tests in the presence of partial disease verification is proposed. The results obtained were applied to the diagnosis of coronary stenosis.

Suggested Citation

  • Roldán Nofuentes, J.A. & Luna del Castillo, J.D. & Montero Alonso, M.A., 2009. "Determining sample size to evaluate and compare the accuracy of binary diagnostic tests in the presence of partial disease verification," Computational Statistics & Data Analysis, Elsevier, vol. 53(3), pages 742-755, January.
    • Handle: RePEc:eee:csdana:v:53:y:2009:i:3:p:742-755
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    References listed on IDEAS

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    1. Nandini Dendukuri & Elham Rahme & Patrick Bélisle & Lawrence Joseph, 2004. "Bayesian Sample Size Determination for Prevalence and Diagnostic Test Studies in the Absence of a Gold Standard Test," Biometrics, The International Biometric Society, vol. 60(2), pages 388-397, June.
    2. Nofuentes, Jose Antonio Roldan & del Castillo, Juan de Dios Luna, 2006. "Comparing two binary diagnostic tests in the presence of verification bias," Computational Statistics & Data Analysis, Elsevier, vol. 50(6), pages 1551-1564, March.
    3. J. A. Roldan Nofuentes & J. D. Luna Del Castillo, 2007. "Risk of Error and the Kappa Coefficient of a Binary Diagnostic Test in the Presence of Partial Verification," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(8), pages 887-898.
    4. Andrzej S. Kosinski & Huiman X. Barnhart, 2003. "Accounting for Nonignorable Verification Bias in Assessment of Diagnostic Tests," Biometrics, The International Biometric Society, vol. 59(1), pages 163-171, March.
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    Cited by:

    1. Powers, Stephanie & Gerlach, Richard & Stamey, James, 2010. "Bayesian variable selection for Poisson regression with underreported responses," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3289-3299, December.

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