{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T02:05:12Z","timestamp":1776132312904,"version":"3.50.1"},"reference-count":21,"publisher":"Oxford University Press (OUP)","issue":"6","license":[{"start":{"date-parts":[[2019,5,20]],"date-time":"2019-05-20T00:00:00Z","timestamp":1558310400000},"content-version":"vor","delay-in-days":2,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"funder":[{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["T32 MH19105"],"award-info":[{"award-number":["T32 MH19105"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]},{"name":"University of California, San Francisco\u2019s International Traineeships in AIDS Prevention Studies"},{"DOI":"10.13039\/100000025","name":"NIMH","doi-asserted-by":"publisher","award":["R25MH064712"],"award-info":[{"award-number":["R25MH064712"]}],"id":[{"id":"10.13039\/100000025","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,12,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Estimating the number of people in hidden populations is needed for public health research, yet available methods produce highly variable and uncertain results. The Anchored Multiplier calculator uses a Bayesian framework to synthesize multiple population size estimates to generate a consensus estimate. Users submit point estimates and lower\/upper bounds which are converted to beta probability distributions and combined to form a single posterior probability distribution. The Anchored Multiplier calculator is available as a web browser-based application. The software allows for unlimited empirical population size estimates to be submitted and combined according to Bayes Theorem to form a single estimate. The software returns output as a forest plot (to visually compare data inputs and the final Anchored Multiplier estimate) and a table that displays results as population percentages and counts. The web application \u2018Anchored Multiplier Calculator\u2019 is free software and is available at [http:\/\/globalhealthsciences.ucsf.edu\/resources\/tools] or directly at [http:\/\/anchoredmultiplier.ucsf.edu\/].<\/jats:p>","DOI":"10.1093\/ije\/dyz101","type":"journal-article","created":{"date-parts":[[2019,4,27]],"date-time":"2019-04-27T07:13:54Z","timestamp":1556349234000},"page":"1744-1749","source":"Crossref","is-referenced-by-count":12,"title":["Software Application Profile: The Anchored Multiplier calculator\u2014a Bayesian tool to synthesize population size estimates"],"prefix":"10.1093","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7033-1038","authenticated-orcid":false,"given":"Paul D","family":"Wesson","sequence":"first","affiliation":[{"name":"Center for AIDS Prevention Studies, Traineeship in AIDS Prevention Studies Fellowship Program, University of California San Francisco, San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Willi","family":"McFarland","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Cong Charlie","family":"Qin","sequence":"additional","affiliation":[{"name":"Mission One, Fremont, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Mirzazadeh","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2019,5,18]]},"reference":[{"key":"2019122408074689600_dyz101-B1","year":"2014"},{"key":"2019122408074689600_dyz101-B2","doi-asserted-by":"crossref","first-page":"2188","DOI":"10.1007\/s10461-017-1678-9","article-title":"Theoretical and empirical comparisons of methods to estimate the size of hard-to-reach populations: a systematic review","volume":"21","author":"Wesson","year":"2017","journal-title":"AIDS Behav"},{"key":"2019122408074689600_dyz101-B3","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1097\/COH.0000000000000041","article-title":"Estimating the size of key populations: current status and future possibilities","volume":"9","author":"Abdul-Quader","year":"2014","journal-title":"Curr Opin HIV AIDS"},{"key":"2019122408074689600_dyz101-B4","doi-asserted-by":"crossref","first-page":"S137","DOI":"10.1097\/01.aids.0000343772.82647.2d","article-title":"Appropriateness and execution challenges of three formal size estimation methods for high-risk populations in India","volume":"22(Suppl 5)","author":"Vadivoo","year":"2008","journal-title":"AIDS"},{"key":"2019122408074689600_dyz101-B5","first-page":"1047","article-title":"Capture-recapture and multiple-record systems estimation. 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