Reader reaction: A note on the evaluation of group testing algorithms in the presence of misclassification
In the context of group testing screening, McMahan, Tebbs, and Bilder (2012, Biometrics 68,
287–296) proposed a two-stage procedure in a heterogenous population in the presence of …
287–296) proposed a two-stage procedure in a heterogenous population in the presence of …
Revisiting nested group testing procedures: new results, comparisons, and robustness
Y Malinovsky, PS Albert - The American Statistician, 2019 - Taylor & Francis
Group testing has its origin in the identification of syphilis in the US army during World War II.
Much of the theoretical framework of group testing was developed starting in the late 1950s …
Much of the theoretical framework of group testing was developed starting in the late 1950s …
[PDF][PDF] Group testing for identification
CR Bilder - Wiley StatsRef: Statistics Reference Online, 2019 - chrisbilder.com
Grouping (pooling) items together and testing them as one unit for a binary trait is the
process known concurrently as group testing and pooled testing. As long as trait prevalence …
process known concurrently as group testing and pooled testing. As long as trait prevalence …
Youden index estimation based on group-tested data
<? show [AQ ID= GQ2 POS=-24pt]?><? show [AQ ID= GQ4]?><? show [AQ ID= GQ5 POS=
12pt]?> Youden index, a linear function of sensitivity and specificity, provides a direct …
12pt]?> Youden index, a linear function of sensitivity and specificity, provides a direct …
Sequential estimation in the group testing problem
G Haber, Y Malinovsky, PS Albert - Sequential Analysis, 2018 - Taylor & Francis
Estimation using pooled sampling has long been an area of interest in the group testing
literature. Such research has focused primarily on the assumed use of fixed sampling plans …
literature. Such research has focused primarily on the assumed use of fixed sampling plans …
Nested group testing procedures for screening
Y Malinovsky, PS Albert - arXiv preprint arXiv:2102.03652, 2021 - arxiv.org
This article reviews a class of adaptive group testing procedures that operate under a
probabilistic model assumption as follows. Consider a set of $ N $ items, where item $ i …
probabilistic model assumption as follows. Consider a set of $ N $ items, where item $ i …
On the optimal configuration of a square array group testing algorithm
U Čižikovienė, V Skorniakov - arXiv preprint arXiv:2106.15603, 2021 - arxiv.org
Up to date, only lower and upper bounds for the optimal configuration of a Square Array (A2)
Group Testing (GT) algorithm are known. We establish exact analytical formulae and provide …
Group Testing (GT) algorithm are known. We establish exact analytical formulae and provide …
An elementary approach for minimax estimation of Bernoulli proportion in the restricted parameter space
H Sheen, Y Mei - arXiv preprint arXiv:2009.11413, 2020 - arxiv.org
We present an elementary mathematical method to find the minimax estimator of the
Bernoulli proportion $\theta $ under the squared error loss when $\theta $ belongs to the …
Bernoulli proportion $\theta $ under the squared error loss when $\theta $ belongs to the …
Optimal group testing when prevalence is varying
L Meškonytė - 2022 - epublications.vu.lt
Abstract [eng] Group (pooled) testing is an alternative to individual (one-by-one) testing that
can be used to efficiently (faster and cheaper) test a large set of objects …
can be used to efficiently (faster and cheaper) test a large set of objects …
On optimal policy in the group testing with incomplete identification
Y Malinovsky - Statistics & Probability Letters, 2018 - Elsevier
Consider a very large (infinite) population of items, where each item independent from the
others is defective with probability p, or good with probability q= 1− p. The goal is to identify …
others is defective with probability p, or good with probability q= 1− p. The goal is to identify …