부산대학교 도서관

To purchase or authenticate to the full-text of this article, please visit this link: http://dx.doi.org/10.1111/j.1541-0420.2007.00817.x Byline: Hae-Young Kim (1), Michael G. Hudgens (1), Jonathan M. Dreyfuss (2), Daniel J. Westreich (3), Christopher D. Pilcher (4) Keywords: Array; Group testing; Hierarchical; HIV; Per-comparison error rate; Per-family error rate; Predictive value; Sensitivity; Specificity Abstract: Summary. 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. Author Affiliation: (1)Department of Biostatistics, School of Public Health, University of North Carolina at Chapel Hill, 3107-E McGavran-Greenberg Hall, Chapel Hill, North Carolina 27599, U.S.A. (2)Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, North Carolina 27599, U.S.A. (3)Department of Epidemiology, University of North Carolina at Chapel Hill, North Carolina 27599, U.S.A. (4)HIV/AIDS Division, University of California-San Francisco, San Francisco, California 94110, U.S.A. Article History: Received December 2005. Revised January 2007. Accepted January 2007. Article note: (*) email: mhudgens@bios.unc.edu