Optimality of group testing in the presence of misclassification

Aiyi Liu, Chunling Liu, Zhiwei Zhang, Paul S. Albert

Research output: Journal article publicationJournal articleAcademic researchpeer-review

52 Citations (Scopus)

Abstract

Several optimality properties of Dorfman's (1943) group testing procedure are derived for estimation of the prevalence of a rare disease whose status is classified with error. Exact ranges of disease prevalence are obtained for which group testing provides more efficient estimation when group size increases.
Original languageEnglish
Pages (from-to)245-251
Number of pages7
JournalBiometrika
Volume99
Issue number1
DOIs
Publication statusPublished - 1 Mar 2012

Keywords

  • Binary outcome
  • Maximum likelihood estimation
  • Pooling
  • Prevalence
  • Sensitivity
  • Specificity

ASJC Scopus subject areas

  • General Agricultural and Biological Sciences
  • Agricultural and Biological Sciences (miscellaneous)
  • Statistics and Probability
  • General Mathematics
  • Applied Mathematics
  • Statistics, Probability and Uncertainty

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