Background: Due to the ongoing COVID-19 pandemic, demand for diagnostic testing has
increased drastically, resulting in shortages of necessary materials to conduct the tests and …

In this paper, we propose algorithms that leverage a known community structure to make
group testing more efficient. We consider a population organized in disjoint communities …

Group testing is a technique that can reduce the number of tests needed to identify infected
members in a population, by pooling together multiple diagnostic samples. Despite the …

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12pt]?> Youden index, a linear function of sensitivity and specificity, provides a direct …

Group testing is the technique of pooling together diagnostic samples in order to increase
the efficiency of medical testing. Traditionally, works in group testing assume that the …

Background The role of immunological responses to exposed bacteria on disease incidence
is increasingly under investigation. With many bacterial species, and many potential …

We develop parametric estimators of a conditional prevalence in the group testing context.
Group testing is applied when a binary outcome variable, often a disease indicator, is …

We study Dorfman's classical group testing protocol in a novel setting where individual
specimen statuses are modeled as exchangeable random variables. We are motivated by …

We study the problem of group testing with non-identical, independent priors. So far, the
pooling strategies that have been proposed in the literature take the following approach: a …

Group testing study designs have been used since the 1940s to reduce screening costs for
uncommon diseases; for rare diseases, all cases are identifiable with substantially fewer …