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This algorithmic process involves testing portions of specimens from separate individuals together as one unit (or \u201cgroup\u201d) to detect diseases. Retesting is performed on groups that test positively in order to differentiate between positive and negative individual specimens. The overall goal is to use the least number of tests possible across all individuals without sacrificing diagnostic accuracy. One of the most efficient group testing algorithms is array testing. In its simplest form, specimens are arranged into a grid\u2010like structure so that row and column groups can be formed. Positive\u2010testing rows\/columns indicate which specimens to retest. With the growing use of multiplex assays, the increasing number of diseases tested by these assays, and the availability of subject\u2010specific risk information, opportunities exist to make this testing process even more efficient. We propose specific specimen arrangements within an array that can reduce the number of retests needed when compared with other array testing algorithms. We examine how to calculate operating characteristics, including the expected number of tests and the SD for the number of tests, and then subsequently find a best arrangement. Our methods are illustrated for chlamydia and gonorrhea detection with the Aptima Combo 2 Assay. We also provide R functions to make our research accessible to laboratories.<\/jats:p>","DOI":"10.1002\/sim.8954","type":"journal-article","created":{"date-parts":[[2021,3,25]],"date-time":"2021-03-25T04:41:17Z","timestamp":1616647277000},"page":"3021-3034","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Informative array testing with multiplex assays"],"prefix":"10.1002","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2848-8576","authenticated-orcid":false,"given":"Christopher R.","family":"Bilder","sequence":"first","affiliation":[{"name":"Department of Statistics University of Nebraska\u2010Lincoln  Lincoln Nebraska USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6762-7241","authenticated-orcid":false,"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"}]}],"member":"311","published-online":{"date-parts":[[2021,3,24]]},"reference":[{"key":"e_1_2_9_2_1","unstructured":"CDC. 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New UK guidelines aimed at stopping potential sexually transmitted superbug;2018.https:\/\/www.cnn.com\/2018\/07\/11\/health\/guidelines\u2010superbug\u2010mycoplasma\u2010genitalium\u2010intl\/index.html. Accessed February 10 2021."},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12879-015-1041-6"},{"key":"e_1_2_9_10_1","unstructured":"CDC. New CDC analysis shows steep and sustained increases in STDs in recent years;2018.https:\/\/www.cdc.gov\/nchhstp\/newsroom\/2018\/press\u2010release\u20102018\u2010std\u2010prevention\u2010conference.html. 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