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- Title
Comparison of Group Testing Algorithms for Case Identification in the Presence of Test Error.
- Authors
Hae-Young Kim; Hudgens, Michael G.; Dreyfuss, Jonathan M.; Westreich, Daniel J.; Pilcher, Christopher D.
- Abstract
We derive and compare the operating characteristics of hierarchical and square array-based testing algorithms for case identification in the presence of testing error. The operating characteristics investigated include efficiency (i.e., expected number of tests per specimen) and error rates (i.e., sensitivity, specificity, positive and negative predictive values, per-family error rate, and per-comparison error rate). The methodology is illustrated by comparing different pooling algorithms for the detection of individuals recently infected with HIV in North Carolina and Malawi.
- Subjects
NORTH Carolina; MALAWI; ALGORITHMS; ERROR rates; HIV infections; RARE diseases
- Publication
Biometrics, 2007, Vol 63, Issue 4, p1152
- ISSN
0006-341X
- Publication type
Article
- DOI
10.1111/j.1541-0420.2007.00817.x