JSM 2004 - Toronto

Abstract #300520

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Activity Number: 424
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #300520
Title: Optimal Design for Simultaneous Inference Using Pooled Assessments
Author(s): Joshua M. Tebbs*+ and Melinda H. McCann
Companies: Kansas State University and Oklahoma State University
Address: Dept. of Statistics, Manhattan, KS, 66506,
Keywords: confidence intervals ; group testing ; pairwise comparisons ; HIV seroprevalence estimation ; proportion ; multiple comparisons
Abstract:

When estimating the prevalence of a rare trait such as HIV, the use of pooled testing can confer substantial benefits when compared to individual testing. In addition to screening experiments for infectious diseases, pooled testing has been used in other applications as well, including drug-testing, multiple-vector transfer designs in plant pathology, and epidemiological studies involving animal disease. Within a pooled-testing context, we consider situations wherein different strata or treatments are to be compared with the goals of assessing practical differences between strata and ranking strata in terms of prevalence. With two competing simultaneous pairwise interval procedures, we present a unified approach to determining pool sizes which deliver desired coverage properties while taking testing costs and interval precision into account. We illustrate our methods using data from an observational HIV study.

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Revised March 2004