Optimal pooling strategies for laboratory testing. Williams, B. G abstract bibtex We consider the optimal strategy for laboratory testing of biological samples when we wish to know the results for each sample rather than the average prevalence of positive samples. If the proportion of positive samples is low considerable resources may be devoted to testing samples most of which are negative. An attractive strategy is to pool samples. If the pooled samples test positive one must then test the individual samples, otherwise they can all be assumed to be negative. The pool should be big enough to reduce the number of tests but not so big that the pooled samples are almost all positive.
@article{williams_optimal_nodate-1,
title = {Optimal pooling strategies for laboratory testing},
abstract = {We consider the optimal strategy for laboratory testing of biological samples when we wish to know the results for each sample rather than the average prevalence of positive samples. If the proportion of positive samples is low considerable resources may be devoted to testing samples most of which are negative. An attractive strategy is to pool samples. If the pooled samples test positive one must then test the individual samples, otherwise they can all be assumed to be negative. The pool should be big enough to reduce the number of tests but not so big that the pooled samples are almost all positive.},
language = {en},
author = {Williams, Brian G},
pages = {4},
file = {Williams - Optimal pooling strategies for laboratory testing.pdf:/Users/neil.hawkins/Zotero/storage/DDJNJJBG/Williams - Optimal pooling strategies for laboratory testing.pdf:application/pdf},
}
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