{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T13:12:13Z","timestamp":1791033133951,"version":"4.1.0"},"reference-count":30,"publisher":"SAGE Publications","issue":"8","license":[{"start":{"date-parts":[[2016,12,21]],"date-time":"2016-12-21T00:00:00Z","timestamp":1482278400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Stat Methods Med Res"],"published-print":{"date-parts":[[2018,8]]},"abstract":"<jats:p>Copula mixed models for trivariate (or bivariate) meta-analysis of diagnostic test accuracy studies accounting (or not) for disease prevalence have been proposed in the biostatistics literature to synthesize information. However, many systematic reviews often include case-control and cohort studies, so one can either focus on the bivariate meta-analysis of the case-control studies or the trivariate meta-analysis of the cohort studies, as only the latter contains information on disease prevalence. In order to remedy this situation of wasting data we propose a hybrid copula mixed model via a combination of the bivariate and trivariate copula mixed model for the data from the case-control studies and cohort studies, respectively. Hence, this hybrid model can account for study design and also due to its generality can deal with dependence in the joint tails. We apply the proposed hybrid copula mixed model to a review of the performance of contemporary diagnostic imaging modalities for detecting metastases in patients with melanoma.<\/jats:p>","DOI":"10.1177\/0962280216682376","type":"journal-article","created":{"date-parts":[[2017,1,19]],"date-time":"2017-01-19T04:13:25Z","timestamp":1484799205000},"page":"2540-2553","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":10,"title":["Hybrid copula mixed models for combining case-control and cohort studies in meta-analysis of diagnostic tests"],"prefix":"10.1177","volume":"27","author":[{"given":"Aristidis K","family":"Nikoloulopoulos","sequence":"first","affiliation":[{"name":"School of Computing Sciences, University of East Anglia, Norwich, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2016,12,21]]},"reference":[{"issue":"2","key":"bibr1-0962280216682376","first-page":"357","volume":"62","author":"Jerant A","year":"2000","journal-title":"Am Fam Phys"},{"key":"bibr2-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1093\/jnci\/djq455"},{"key":"bibr3-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2006.06.011"},{"key":"bibr4-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-0258(19970515)16:9<981::AID-SIM510>3.0.CO;2-N"},{"key":"bibr5-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2008.04.007"},{"key":"bibr6-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1503\/cmaj.121286"},{"key":"bibr7-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1002\/sim.3627"},{"key":"bibr8-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1111\/rssc.12087"},{"key":"bibr9-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1007\/s10182-008-0060-7"},{"key":"bibr10-0962280216682376","first-page":"5","volume":"21","author":"Varin C","year":"2011","journal-title":"Stat Sin"},{"key":"bibr11-0962280216682376","author":"Chen Y","journal-title":"Stat Meth Med Res"},{"key":"bibr12-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1002\/0471728438"},{"key":"bibr13-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1002\/sim.6595"},{"key":"bibr14-0962280216682376","author":"Nikoloulopoulos AK","journal-title":"Stat Meth Med Res"},{"key":"bibr15-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1201\/b13150"},{"key":"bibr16-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1201\/b17116"},{"key":"bibr17-0962280216682376","volume-title":"An introduction to copulas","author":"Nelsen RB","year":"2006"},{"key":"bibr18-0962280216682376","first-page":"229","volume":"8","author":"Sklar M","year":"1959","journal-title":"Pub Inst Stat Univ Paris"},{"key":"bibr19-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1007\/s11336-013-9387-4"},{"key":"bibr20-0962280216682376","volume-title":"Dependence modeling \u2013 handbook on vine copulae","author":"Kurowicka D","year":"2011"},{"key":"bibr21-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2009.08.002"},{"key":"bibr22-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1016\/j.csda.2007.10.028"},{"key":"bibr23-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1016\/j.insmatheco.2007.02.001"},{"key":"bibr24-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmva.2013.04.014"},{"key":"bibr25-0962280216682376","volume-title":"Compact numerical methods for computers: Linear algebra and function minimisation","author":"Nash J","year":"1990","edition":"2"},{"key":"bibr26-0962280216682376","volume-title":"Gaussian quadrature formulas","author":"Stroud AH","year":"1966"},{"key":"bibr27-0962280216682376","first-page":"139","volume-title":"Dependence modeling: Handbook on vine copulae","author":"Joe H","year":"2011"},{"key":"bibr28-0962280216682376","doi-asserted-by":"publisher","DOI":"10.1177\/0962280216630190"},{"key":"bibr29-0962280216682376","author":"Ma X","journal-title":"Stat Meth Med Res"},{"key":"bibr30-0962280216682376","doi-asserted-by":"crossref","unstructured":"Nikoloulopoulos AK. 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