{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T16:00:22Z","timestamp":1747152022984,"version":"3.40.5"},"reference-count":23,"publisher":"Wiley","issue":"24","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/100000054","name":"The National Cancer Institute","doi-asserted-by":"publisher","award":["R01CA222147"],"award-info":[{"award-number":["R01CA222147"]}],"id":[{"id":"10.13039\/100000054","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["R01AI27271"],"award-info":[{"award-number":["R01AI27271"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["107752\/Z\/15\/Z"],"award-info":[{"award-number":["107752\/Z\/15\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Statistics in Medicine"],"published-print":{"date-parts":[[2020,10,30]]},"abstract":"<jats:p>Development of methods to accurately estimate human immunodeficiency virus (HIV) incidence rate remains a challenge. Ideally, one would follow a random sample of HIV\u2010negative individuals under a longitudinal study design and identify incident cases as they arise. Such designs can be prohibitively resource intensive and therefore alternative designs may be preferable. We propose such a simple, less resource\u2010intensive study design and develop a weighted log likelihood approach which simultaneously accounts for selection bias and outcome misclassification error. The design is based on a cross\u2010sectional survey which queries individuals' time since last HIV\u2010negative test, validates their test results with formal documentation whenever possible, and tests all persons who do not have documentation of being HIV\u2010positive. To gain efficiency, we update the weighted log likelihood function with potentially misclassified self\u2010reports from individuals who could not produce documentation of a prior HIV\u2010negative test and investigate large sample properties of validated sub\u2010sample only versus pooled sample estimators through extensive Monte Carlo simulations. We illustrate our method by estimating incidence rate for individuals who tested HIV\u2010negative within 1.5 and 5 years prior to Botswana Combination Prevention Project enrolment. This article establishes that accurate estimates of HIV incidence rate can be obtained from individuals' history of testing in a cross\u2010sectional cohort study design by appropriately accounting for selection bias and misclassification error. Moreover, this approach is notably less resource\u2010intensive compared to longitudinal and laboratory\u2010based methods.<\/jats:p>","DOI":"10.1002\/sim.8661","type":"journal-article","created":{"date-parts":[[2020,9,2]],"date-time":"2020-09-02T02:35:44Z","timestamp":1599014144000},"page":"3255-3271","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Efficient estimation of human immunodeficiency virus incidence rate using a pooled cross\u2010sectional cohort study design"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9293-4470","authenticated-orcid":false,"given":"Kesaobaka","family":"Molebatsi","sequence":"first","affiliation":[{"name":"Department of Statistics University of Botswana  Gaborone Botswana"},{"name":"Botswana Harvard AIDS Institute Partnership  Gaborone Botswana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lesego","family":"Gabaitiri","sequence":"additional","affiliation":[{"name":"Department of Statistics University of Botswana  Gaborone Botswana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lucky","family":"Mokgatlhe","sequence":"additional","affiliation":[{"name":"Department of Statistics University of Botswana  Gaborone Botswana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sikhulile","family":"Moyo","sequence":"additional","affiliation":[{"name":"Botswana Harvard AIDS Institute Partnership  Gaborone Botswana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Simani","family":"Gaseitsiwe","sequence":"additional","affiliation":[{"name":"Botswana Harvard AIDS Institute Partnership  Gaborone Botswana"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kathleen E.","family":"Wirth","sequence":"additional","affiliation":[{"name":"Department of Biostatistics Harvard T.H. 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