Constructions of Optimal Sparse r ‐Disjunct Matrices via Packings
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Combinatorial Designs"
DOI: 10.1002/jcd.21986
Abstract: Group testing has been widely used in various aspects, and the r ‐disjunct matrix plays a crucial role in group testing. The original purpose of the group testing is to identify a set of at… read more here.
Keywords: sparse disjunct; optimal sparse; disjunct matrices; group testing ... See more keywords
Grouping methods for estimating the prevalences of rare traits from complex survey data that preserve confidentiality of respondents.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7648
Abstract: Originally, 2-stage group testing was developed for efficiently screening individuals for a disease. In response to the HIV/AIDS epidemic, 1-stage group testing was adopted for estimating prevalences of a single or multiple traits from testing… read more here.
Keywords: survey data; estimating prevalences; group testing; group ... See more keywords
Capturing the pool dilution effect in group testing regression: A Bayesian approach
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9532
Abstract: Group (pooled) testing is becoming a popular strategy for screening large populations for infectious diseases. This popularity is owed to the cost savings that can be realized through implementing group testing methods. These methods involve… read more here.
Keywords: group; dilution effect; group testing; methodology ... See more keywords
Group testing regression analysis with covariates and specimens subject to missingness
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9640
Abstract: 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 assessed by testing a specimen for the presence… read more here.
Keywords: testing regression; subject missingness; group; conditional prevalence ... See more keywords
Extended symbol correction algorithm for group testing based non-binary error correction codes of minimum distance d
Sign Up to like & getrecommendations! Published in 2020 at "Microelectronics Reliability"
DOI: 10.1016/j.microrel.2020.113724
Abstract: Abstract This work presents a new decoding algorithm that extends the error-correction capacity of group testing based (GTB) non-binary error correction codes without modifying the number of parity symbols of the codeword. A list decoding… read more here.
Keywords: group testing; correction; error correction; non binary ... See more keywords
A mixed-effects Bayesian regression model for multivariate group testing data.
Sign Up to like & getrecommendations! Published in 2025 at "Biometrics"
DOI: 10.1093/biomtc/ujaf028
Abstract: Laboratories use group (pooled) testing with multiplex assays to reduce the time and cost associated with screening large populations for infectious diseases. Multiplex assays test for multiple diseases simultaneously, and combining their use with group… read more here.
Keywords: multivariate; group; group testing; testing data ... See more keywords
Noisy Adaptive Group Testing: Bounds and Algorithms
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2018.2883604
Abstract: The group testing problem consists of determining a small set of defective items from a larger set of items based on a number of possibly noisy tests, and is relevant in applications such as medical… read more here.
Keywords: group testing; bounds algorithms; testing bounds; adaptive group ... See more keywords
Sublinear-Time Non-Adaptive Group Testing With O(k log n) Tests via Bit-Mixing Coding
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2020.3046113
Abstract: The group testing problem consists of determining a small set of defective items from a larger set of items based on tests on groups of items, and is relevant in applications such as medical testing,… read more here.
Keywords: group testing; tex math; log; inline formula ... See more keywords
Performance Bounds for Group Testing With Doubly-Regular Designs
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2022.3210593
Abstract: In the group testing problem, the goal is to identify a subset of defective items within a larger set of items based on tests whose outcomes indicate whether any defective item is present. This problem… read more here.
Keywords: number; test; design; group testing ... See more keywords
Inverse sampling regression for pooled data
Sign Up to like & getrecommendations! Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280214568047
Abstract: Because pools are tested instead of individuals in group testing, this technique is helpful for estimating prevalence in a population or for classifying a large number of individuals into two groups at a low cost.… read more here.
Keywords: regression; group testing; sampling regression; inverse sampling ... See more keywords
Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance
Sign Up to like & getrecommendations! Published in 2021 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1008726
Abstract: We propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19. We first introduce a model of the RT-qPCR process used to test for the presence of virus in a sample… read more here.
Keywords: covid epidemiological; strategy covid; group testing; group ... See more keywords