Is group testing ready for prime‐time in disease identification?

G Haber, Y Malinovsky, PS Albert - Statistics in medicine, 2021 - Wiley Online Library
Large‐scale disease screening is a complicated process in which high costs must be
balanced against pressing public health needs. When the goal is screening for infectious …

Leveraging network structure to improve pooled testing efficiency

DK Sewell - Journal of the Royal Statistical Society Series C …, 2022 - academic.oup.com
Screening is a powerful tool for infection control, allowing for infectious individuals, whether
they be symptomatic or asymptomatic, to be identified and isolated. The resource burden of …

Solving Generalized Grouping Problems in Cellular Manufacturing Systems Using a Network Flow Model

MK Uddin, MS Islam, MA Jahin, MSI Seam… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper focuses on the generalized grouping problem in the context of cellular
manufacturing systems (CMS), where parts may have more than one process route. A …

The efficient design of Nested Group Testing algorithms for disease identification in clustered data

AF Best, Y Malinovsky, PS Albert - Journal of Applied Statistics, 2023 - Taylor & Francis
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 …

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 …

An optimal design for hierarchical generalized group testing

Y Malinovsky, G Haber, PS Albert - Journal of the Royal …, 2020 - academic.oup.com
Choosing an optimal strategy for hierarchical group testing is an important problem for
practitioners who are interested in disease screening with limited resources. For example …

Asymptotics Related to a Binary Search Scheme

VG Papanicolaou - arXiv preprint arXiv:2409.14468, 2024 - arxiv.org
Specimens are collected from $ N $ different sources. Each specimen has probability $ p $
of being contaminated, independently of the other specimens. We assume group testing is …

Conjectures on optimal nested generalized group testing algorithm

Y Malinovsky - Applied Stochastic Models in Business and …, 2020 - Wiley Online Library
Consider a finite population of N items, where item i has a probability pi to be defective. The
goal is to identify all items by means of group testing. This is the generalized group testing …

A binary search scheme for determining all contaminated specimens

VG Papanicolaou - Journal of Mathematical Biology, 2021 - Springer
Specimens are collected from N different sources. Each specimen has probability p of being
contaminated (in the case of a disease, eg, p is the prevalence rate), independently of the …

[引用][C] Problems in group testing estimation and design

G Haber - 2018