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Comparison of Group Testing Algorithms for Case Identification in the Presence of Test Error

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Listed:
  • Hae-Young Kim
  • Michael G. Hudgens
  • Jonathan M. Dreyfuss
  • Daniel J. Westreich
  • Christopher D. Pilcher

Abstract

No abstract is available for this item.

Suggested Citation

  • Hae-Young Kim & Michael G. Hudgens & Jonathan M. Dreyfuss & Daniel J. Westreich & Christopher D. Pilcher, 2007. "Comparison of Group Testing Algorithms for Case Identification in the Presence of Test Error," Biometrics, The International Biometric Society, vol. 63(4), pages 1152-1163, December.
    • Handle: RePEc:bla:biomet:v:63:y:2007:i:4:p:1152-1163
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2007.00817.x
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    References listed on IDEAS

    as
    1. Toby Berger & James W. Mandell & P. Subrahmanya, 2000. "Maximally Efficient Two-Stage Screening," Biometrics, The International Biometric Society, vol. 56(3), pages 833-840, September.
    2. Lawrence M. Wein & Stefanos A. Zenios, 1996. "Pooled Testing for HIV Screening: Capturing the Dilution Effect," Operations Research, INFORMS, vol. 44(4), pages 543-569, August.
    3. 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.
    4. H. M. Finucan, 1964. "The Blood Testing Problem," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 13(1), pages 43-50, March.
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