{"id":"https://openalex.org/W4399640453","doi":"https://doi.org/10.32614/cran.package.copularemada","title":"CopulaREMADA: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies","display_name":"CopulaREMADA: Copula Mixed Models for Multivariate Meta-Analysis of Diagnostic Test Accuracy Studies","publication_year":2015,"publication_date":"2015-02-23","ids":{"openalex":"https://openalex.org/W4399640453","doi":"https://doi.org/10.32614/cran.package.copularemada"},"language":"en","primary_location":{"id":"doi:10.32614/cran.package.copularemada","doi":"https://doi.org/10.32614/cran.package.copularemada","is_oa":true,"landing_page_url":"https://doi.org/10.32614/cran.package.copularemada","pdf_url":"https://cran.r-project.org/web/packages/CopulaREMADA/CopulaREMADA.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"volume":null,"type":"review","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://cran.r-project.org/web/packages/CopulaREMADA/CopulaREMADA.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051053502","display_name":"Aristidis K. Nikoloulopoulos","orcid":"https://orcid.org/0000-0003-0853-0084","observed_orcids":["https://orcid.org/0000-0003-0853-0084"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Aristidis K. Nikoloulopoulos","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-0853-0084","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5051053502"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2776,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.64583333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14374","display_name":"Statistical Methods in Epidemiology","score":0.003700000001117587,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10282","display_name":"Financial Risk and Volatility Modeling","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/2003","display_name":"Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multivariate-meta-analysis","display_name":"multivariate meta-analysis","score":0.8679999709129333},{"id":"https://openalex.org/keywords/diagnostic-accuracy","display_name":"diagnostic accuracy","score":0.9409999847412109},{"id":"https://openalex.org/keywords/vine-copulas","display_name":"vine copulas","score":0.7379999756813049},{"id":"https://openalex.org/keywords/d-vine-copula","display_name":"D-vine copula","score":0.890999972820282},{"id":"https://openalex.org/keywords/bivariate-copulas","display_name":"bivariate copulas","score":0.8159999847412109},{"id":"https://openalex.org/keywords/disease-prevalence","display_name":"disease prevalence","score":0.7200000286102295},{"id":"https://openalex.org/keywords/case-control-study","display_name":"case-control study","score":0.6650000214576721},{"id":"https://openalex.org/keywords/cohort-studies","display_name":"cohort studies","score":0.9290000200271606},{"id":"https://openalex.org/keywords/gold-standard","display_name":"gold standard","score":0.453000009059906},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.6890000104904175},{"id":"https://openalex.org/keywords/r-markdown","display_name":"R Markdown","score":0.3070000112056732},{"id":"https://openalex.org/keywords/shiny-app","display_name":"Shiny app","score":0.6129999756813049},{"id":"https://openalex.org/keywords/copula-parameter-estimation","display_name":"copula parameter estimation","score":0.3700000047683716}],"concepts":[{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.8804831504821777},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.6924811601638794},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.48124027252197266},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.46633481979370117},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4619152545928955},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.42587172985076904},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3830777108669281},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32168346643447876},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1304522454738617},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32614/cran.package.copularemada","doi":"https://doi.org/10.32614/cran.package.copularemada","is_oa":true,"landing_page_url":"https://doi.org/10.32614/cran.package.copularemada","pdf_url":"https://cran.r-project.org/web/packages/CopulaREMADA/CopulaREMADA.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"}],"best_oa_location":{"id":"doi:10.32614/cran.package.copularemada","doi":"https://doi.org/10.32614/cran.package.copularemada","is_oa":true,"landing_page_url":"https://doi.org/10.32614/cran.package.copularemada","pdf_url":"https://cran.r-project.org/web/packages/CopulaREMADA/CopulaREMADA.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CRAN: Contributed Packages","raw_type":"dataset"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.428600013256073,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399640453.pdf","grobid_xml":"https://content.openalex.org/works/W4399640453.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1898360268","https://openalex.org/W1923992966","https://openalex.org/W2336394106","https://openalex.org/W2551555237","https://openalex.org/W2804744026","https://openalex.org/W3020176950","https://openalex.org/W3034214220","https://openalex.org/W3048456369","https://openalex.org/W4402501235","https://openalex.org/W4409257761"],"related_works":["https://openalex.org/W3020176950","https://openalex.org/W1923992966","https://openalex.org/W2336394106","https://openalex.org/W2904783772","https://openalex.org/W3044704224","https://openalex.org/W2971645727","https://openalex.org/W7161914833","https://openalex.org/W1898360268","https://openalex.org/W4409257761","https://openalex.org/W4287756577"],"abstract_inverted_index":{"The":[0,20,50,70,87,106,122,147],"bivariate":[1],"copula":[2,22,53,72,91,108,127,150],"mixed":[3,23,54,73,92,109,128,151],"model":[4,24,55,74,93,110,129],"for":[5,25,33,43,56,75,94,111,130,137,153],"meta-analysis":[6,26,57,76,95,113,131,154],"of":[7,27,58,79,96,114,132,155],"diagnostic":[8,28,59,81,97,116,134,156],"test":[9,29,60],"accuracy":[10,30,61,157],"studies":[11,31,65,141,158],"in":[12,36,46,66,83,102,118,143],"Nikoloulopoulos":[13,17,37,47,67,84,103,119,144],"(2015)":[14],"<doi:10.1002/sim.6595>":[15],"and":[16,40,63,77,139],"(2018)":[18,68],"<doi:10.1007/s10182-017-0299-y>.":[19],"vine":[21,52],"accounting":[32,42,136],"disease":[34],"prevalence":[35],"(2017)":[38],"<doi:10.1177/0962280215596769>":[39],"also":[41],"non-evaluable":[44,100],"subjects":[45,101],"(2020)":[48,104],"<doi:10.1515/ijb-2019-0107>.":[49],"hybrid":[51],"case-control":[62],"cohort":[64],"<doi:10.1177/0962280216682376>.":[69],"D-vine":[71,90,126,149],"comparison":[78],"two":[80,133],"tests":[82,98,117,135],"(2019)":[85],"<doi:10.1177/0962280218796685>.":[86],"multinomial":[88,123],"quadrivariate":[89],"with":[99],"<doi:10.1177/0962280220913898>.":[105],"one-factor":[107],"joint":[112],"multiple":[115],"(2022)":[120],"<doi:10.1111/rssa.12838>.":[121],"six-variate":[124],"1-truncated":[125,148],"within":[138],"between":[140],"dependence":[142],"(2024)":[145],"<doi:10.1177/09622802241269645>.":[146],"models":[152],"without":[159],"a":[160],"gold":[161],"standard":[162],"(Nikoloulopoulos,":[163],"2025)":[164],"<doi:10.1093/biomtc/ujaf037>.":[165]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2024-06-14T00:00:00"}
