{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T08:04:56Z","timestamp":1753862696043,"version":"3.41.2"},"reference-count":33,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T00:00:00Z","timestamp":1684195200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01 AI121351"],"award-info":[{"award-number":["R01 AI121351"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Biometrical J"],"published-print":{"date-parts":[[2023,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>When screening a population for infectious diseases, pooling individual specimens (e.g., blood, swabs, urine, etc.) can provide enormous cost savings when compared to testing specimens individually. In the biostatistics literature, testing pools of specimens is commonly known as group testing or pooled testing. Although estimating a population\u2010level prevalence with group testing data has received a large amount of attention, most of this work has focused on applications involving a single disease, such as human immunodeficiency virus. Modern methods of screening now involve testing pools and individuals for multiple diseases simultaneously through the use of multiplex assays. Hou et\u00a0al. (2017, <jats:italic>Biometrics<\/jats:italic>, <jats:italic>73<\/jats:italic>, 656\u2013665) and Hou et\u00a0al. (2020, <jats:italic>Biostatistics<\/jats:italic>, <jats:italic>21<\/jats:italic>, 417\u2013431) recently proposed group testing protocols for multiplex assays and derived relevant case identification characteristics, including the expected number of tests and those which quantify classification accuracy. In this article, we describe Bayesian methods to estimate population\u2010level disease probabilities from implementing these protocols or any other multiplex group testing protocol which might be carried out in practice. Our estimation methods can be used with multiplex assays for two or more diseases while incorporating the possibility of test misclassification for each disease. We use chlamydia and gonorrhea testing data collected at the State Hygienic Laboratory at the University of Iowa to illustrate our work. We also provide an online R resource practitioners can use to implement the methods in this\u00a0article.<\/jats:p>","DOI":"10.1002\/bimj.202200270","type":"journal-article","created":{"date-parts":[[2023,5,16]],"date-time":"2023-05-16T21:10:40Z","timestamp":1684271440000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Estimating the prevalence of two or more diseases using outcomes from multiplex group testing"],"prefix":"10.1002","volume":"65","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1740-4223","authenticated-orcid":false,"given":"Md S.","family":"Warasi","sequence":"first","affiliation":[{"name":"Department of Mathematics and Statistics Radford University Radford Virginia USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Joshua M.","family":"Tebbs","sequence":"additional","affiliation":[{"name":"Department of Statistics University of South Carolina Columbia South Carolina USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5056-9615","authenticated-orcid":false,"given":"Christopher S.","family":"McMahan","sequence":"additional","affiliation":[{"name":"School of Mathematical and Statistical Sciences Clemson University Clemson South Carolina USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher R.","family":"Bilder","sequence":"additional","affiliation":[{"name":"Department of Statistics University of Nebraska\u2010Lincoln Lincoln Nebraska USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,5,16]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1093\/ajcp\/aqaa064"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.8988"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa044029"},{"key":"e_1_2_11_5_1","unstructured":"Centers for Disease Control and Prevention. (2022).Sexually transmitted disease surveillance 2020.Department of Health and Human Services. 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