Bias Correction in Estimating Proportions by Pooled Testing
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Bias Correction in Estimating Proportions by Pooled Testing

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  • English
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    Details:

    • Alternative Title:
      J Agric Biol Environ Stat
    • Personal Author:
    • Description:
      In the estimation of proportions by pooled testing, the MLE is biased, and several methods of correcting the bias have been presented in previous studies. We propose a new estimator based on the bias correction method introduced by Firth (Biometrika 80:27-38, 1993), which uses a modification of the score function, and we provide an easily computable, Newton-Raphson iterative formula for its computation. Our proposed estimator is almost unbiased across a range of problems, and superior to existing methods. We show that for equal pool sizes the new estimator is equivalent to the estimator proposed by Burrows (Phytopathology 77:363-365, 1987). The performance of our estimator is examined using pooled testing problems encountered in plant disease assessment and prevalence estimation of mosquito-borne viruses.
    • Subject:
    • Source:
      J Agric Biol Environ Stat. 22(4):602-614
    • Pubmed ID:
      30636859
    • Pubmed Central ID:
      PMC6325642
    • Document Type:
      Journal Article ;
    • Funding:
      CC999999/Intramural CDC HHS/United States ;
    • Collection(s):
      CDC Public Access
    • Main Document Checksum:
    • File Type:

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