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Robust procedures for experimental design in group testing considering misclassification

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  • Xiong, Wenjun
  • Ding, Juan

Abstract

Group size is an essential aspect of experiments using group testing. In this study, we establish the relationship of the optimal group size to the proportion p. Two robust estimators are proposed and investigated through simulations.

Suggested Citation

  • Xiong, Wenjun & Ding, Juan, 2015. "Robust procedures for experimental design in group testing considering misclassification," Statistics & Probability Letters, Elsevier, vol. 100(C), pages 35-41.
    • Handle: RePEc:eee:stapro:v:100:y:2015:i:c:p:35-41
    DOI: 10.1016/j.spl.2015.01.021
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    References listed on IDEAS

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    1. Aiyi Liu & Chunling Liu & Zhiwei Zhang & Paul S. Albert, 2012. "Optimality of group testing in the presence of misclassification," Biometrika, Biometrika Trust, vol. 99(1), pages 245-251.
    2. Christopher S. McMahan & Joshua M. Tebbs & Christopher R. Bilder, 2012. "Informative Dorfman Screening," Biometrics, The International Biometric Society, vol. 68(1), pages 287-296, March.
    3. Graham Hepworth & Ray Watson, 2009. "Debiased estimation of proportions in group testing," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 58(1), pages 105-121, February.
    4. M. Hung & William H. Swallow, 1999. "Robustness of Group Testing in the Estimation of Proportions," Biometrics, The International Biometric Society, vol. 55(1), pages 231-237, March.
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