Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/26467
Title: Optimality of group testing in the presence of misclassification
Authors: Liu, A
Liu, C 
Zhang, Z
Albert, PS
Keywords: Binary outcome
Maximum likelihood estimation
Pooling
Prevalence
Sensitivity
Specificity
Issue Date: 2012
Publisher: Oxford University Press
Source: Biometrika, 2012, v. 99, no. 1, p. 245-251 How to cite?
Journal: Biometrika 
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.
URI: http://hdl.handle.net/10397/26467
ISSN: 0006-3444
EISSN: 1464-3510
DOI: 10.1093/biomet/asr064
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