Year: 2008
Type: article
Abstract: In this paper, we introduce a new pooling algorithm for testing for a disease, matrix pooling, which accommodates imperfect tests.We find that matrix pooling belongs to the class of pooling methods that have greater accuracy than individual testing, under reasonable levels of test kit sensitivity and specificity.Additionally, this increase in accuracy is achieved with fewer tests than individual testing for low prevalences of disease.Indeed, the savings can be considerable when dealing with very low prevalence situations, making screening for some diseases more realistic via our proposed technique.
Authors: Bethany L. Hedt, Michele Pagano
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W132826595