Optimality of group testing in the presence of misclassification

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

doi:10.1093/biomet/asr064

Optimality of group testing in the presence of misclassification

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

Research output: Journal article publication › Journal article › Academic research › peer-review

55 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 language	English
Pages (from-to)	245-251
Number of pages	7
Journal	Biometrika
Volume	99
Issue number	1
DOIs	https://doi.org/10.1093/biomet/asr064
Publication status	Published - 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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10.1093/biomet/asr064

Cite this

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title = "Optimality of group testing in the presence of misclassification",

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.",

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AU - Zhang, Zhiwei

AU - Albert, Paul S.

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KW - Binary outcome

KW - Maximum likelihood estimation

KW - Pooling

KW - Prevalence

KW - Sensitivity

KW - Specificity

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M3 - Journal article

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JF - Biometrika

IS - 1

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Optimality of group testing in the presence of misclassification

Abstract

Keywords

ASJC Scopus subject areas

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