Comparison of group testing algorithms for case identification in the presence of test error.

Published

Journal Article

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.

Full Text

Cited Authors

  • Kim, H-Y; Hudgens, MG; Dreyfuss, JM; Westreich, DJ; Pilcher, CD

Published Date

  • December 2007

Published In

Volume / Issue

  • 63 / 4

Start / End Page

  • 1152 - 1163

PubMed ID

  • 17501946

Pubmed Central ID

  • 17501946

Electronic International Standard Serial Number (EISSN)

  • 1541-0420

International Standard Serial Number (ISSN)

  • 0006-341X

Digital Object Identifier (DOI)

  • 10.1111/j.1541-0420.2007.00817.x

Language

  • eng