Pooled-testing procedures for screening high volume clinical specimens in heterogeneous populations

Christopher R. Bilder, Joshua M. Tebbs

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Pooled testing is a procedure commonly used to reduce the cost of screening a large number of individuals for infectious diseases. In its simplest form, pooled testing works by compositing a set of individual specimens (e.g., blood or urine) into a common pool. If the pool tests negative, all individuals within it are diagnosed as negative. If the pool tests positive, retesting is needed to decode the positive individuals from the negative individuals. Traditionally, pooled testing has assumed that each individual has the same probability of being positive. However, this assumption is often unrealistic, especially when known risk factors can be used to measure distinct probabilities of positivity for each individual. In this paper, we investigate new pooled-testing algorithms that exploit the heterogeneity among individual probabilities and subsequently reduce the total number of tests needed, while maintaining accuracy levels similar to standard algorithms that do not account for heterogeneity. We apply these algorithms to data from the Infertility Prevention Project, a nationally implemented program supported by the Centers for Disease Control and Prevention.

Original languageEnglish (US)
Pages (from-to)3261-3268
Number of pages8
JournalStatistics in Medicine
Volume31
Issue number27
DOIs
StatePublished - Nov 30 2012

Fingerprint

Screening
Testing
Population
Centers for Disease Control and Prevention (U.S.)
Infertility
Communicable Diseases
Decode
Infectious Diseases
Risk Factors
Urine
Positivity
Blood
Costs and Cost Analysis
Distinct
Costs

Keywords

  • Classification
  • Composite sampling
  • Group testing
  • Identification
  • Infertility Prevention Project
  • Screening

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

Cite this

Pooled-testing procedures for screening high volume clinical specimens in heterogeneous populations. / Bilder, Christopher R.; Tebbs, Joshua M.

In: Statistics in Medicine, Vol. 31, No. 27, 30.11.2012, p. 3261-3268.

Research output: Contribution to journalArticle

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