{"id":"https://openalex.org/W3007606493","doi":"https://doi.org/10.1093/biostatistics/kxaa004","title":"The identity of two meta-analytic likelihoods and the ignorability of double-zero studies","display_name":"The identity of two meta-analytic likelihoods and the ignorability of double-zero studies","publication_year":2020,"publication_date":"2020-01-18","ids":{"openalex":"https://openalex.org/W3007606493","doi":"https://doi.org/10.1093/biostatistics/kxaa004","mag":"3007606493","pmid":"https://pubmed.ncbi.nlm.nih.gov/32065224"},"language":"en","primary_location":{"id":"doi:10.1093/biostatistics/kxaa004","doi":"https://doi.org/10.1093/biostatistics/kxaa004","is_oa":false,"landing_page_url":"https://doi.org/10.1093/biostatistics/kxaa004","pdf_url":null,"source":{"id":"https://openalex.org/S190140075","display_name":"Biostatistics","issn_l":"1465-4644","issn":["1465-4644","1468-4357"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biostatistics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://eprints.soton.ac.uk/438207/1/DZR2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035868878","display_name":"Dankmar B\u00f6hning","orcid":"https://orcid.org/0000-0003-0638-7106","observed_orcids":["https://orcid.org/0000-0003-0638-7106"]},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dankmar B\u00f6hning","raw_affiliation_strings":["Mathematical Sciences and Southamption Statistical Sciences Research Institute, University of Southampton, Southampton SO17 1BJ, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mathematical Sciences and Southamption Statistical Sciences Research Institute, University of Southampton, Southampton SO17 1BJ, UK","institution_ids":["https://openalex.org/I43439940"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030924077","display_name":"Patarawan Sangnawakij","orcid":"https://orcid.org/0000-0002-9614-6869","observed_orcids":["https://orcid.org/0000-0002-9614-6869"]},"institutions":[{"id":"https://openalex.org/I108108428","display_name":"Thammasat University","ror":"https://ror.org/002yp7f20","country_code":"TH","type":"education","lineage":["https://openalex.org/I108108428"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Patarawan Sangnawakij","raw_affiliation_strings":["Department of Mathematics and Statistics, Thammasat University, Pathum Thani 12120, Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Thammasat University, Pathum Thani 12120, Thailand","institution_ids":["https://openalex.org/I108108428"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3296,"currency":"USD","value_usd":3296},"apc_paid":null,"fwci":0.5564,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.71028325,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"22","issue":"4","first_page":"890","last_page":"896"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9911999702453613,"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":0.9911999702453613,"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":0.005900000222027302,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.0010999999940395355,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/meta-analysis","display_name":"meta-analysis","score":0.6019999980926514},{"id":"https://openalex.org/keywords/relative-risk","display_name":"relative risk","score":0.7360000014305115},{"id":"https://openalex.org/keywords/poisson-regression","display_name":"Poisson regression","score":0.8209999799728394},{"id":"https://openalex.org/keywords/likelihood-based-inference","display_name":"likelihood-based inference","score":0.921999990940094},{"id":"https://openalex.org/keywords/event-counts","display_name":"event counts","score":0.33899998664855957}],"concepts":[{"id":"https://openalex.org/C73269764","wikidata":"https://www.wikidata.org/wiki/Q954529","display_name":"Poisson regression","level":3,"score":0.6419286727905273},{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.5911102294921875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5682403445243835},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5504502058029175},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5472128987312317},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5276461839675903},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5016460418701172},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.4983553886413574},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.4838663339614868},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.41869693994522095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.26475489139556885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0796704888343811},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011336","descriptor_name":"Probability","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016012","descriptor_name":"Poisson Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016017","descriptor_name":"Odds Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/biostatistics/kxaa004","doi":"https://doi.org/10.1093/biostatistics/kxaa004","is_oa":false,"landing_page_url":"https://doi.org/10.1093/biostatistics/kxaa004","pdf_url":null,"source":{"id":"https://openalex.org/S190140075","display_name":"Biostatistics","issn_l":"1465-4644","issn":["1465-4644","1468-4357"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biostatistics","raw_type":"journal-article"},{"id":"pmid:32065224","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32065224","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biostatistics (Oxford, England)","raw_type":"Journal Article"},{"id":"pmh:oai:eprints.soton.ac.uk:438207","doi":null,"is_oa":true,"landing_page_url":"https://eprints.soton.ac.uk/id/eprint/438207/1/DZR2.pdf","pdf_url":"https://eprints.soton.ac.uk/438207/1/DZR2.pdf","source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:eprints.soton.ac.uk:438207","doi":null,"is_oa":true,"landing_page_url":"https://eprints.soton.ac.uk/id/eprint/438207/1/DZR2.pdf","pdf_url":"https://eprints.soton.ac.uk/438207/1/DZR2.pdf","source":{"id":"https://openalex.org/S4306401019","display_name":"ePrints Soton (University of Southampton)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I43439940","host_organization_name":"University of Southampton","host_organization_lineage":["https://openalex.org/I43439940"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3007606493.pdf","grobid_xml":"https://content.openalex.org/works/W3007606493.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1922341507","https://openalex.org/W1989782940","https://openalex.org/W2052478986","https://openalex.org/W2077165978","https://openalex.org/W2109489289","https://openalex.org/W2114011456","https://openalex.org/W2120822075","https://openalex.org/W2127125241","https://openalex.org/W2148361291","https://openalex.org/W2793249117","https://openalex.org/W2952786881","https://openalex.org/W3121513383","https://openalex.org/W3176721814","https://openalex.org/W4297918764","https://openalex.org/W6640014965"],"related_works":["https://openalex.org/W1989782940","https://openalex.org/W6926734851","https://openalex.org/W4235288759","https://openalex.org/W4226040030","https://openalex.org/W4396552792","https://openalex.org/W2109489289","https://openalex.org/W3176721814","https://openalex.org/W4408720528","https://openalex.org/W2995449319","https://openalex.org/W6927486838"],"abstract_inverted_index":{"In":[0],"meta-analysis,":[1],"the":[2,14,20,26,35,40,47,55,97,100,113,132],"conventional":[3,56],"two-stage":[4],"approach":[5],"computes":[6],"an":[7,61],"effect":[8,23,41],"estimate":[9],"for":[10,99],"each":[11],"study":[12],"in":[13,25,128],"first":[15],"stage":[16],"and":[17,69,117],"proceeds":[18],"with":[19,52],"analysis":[21],"of":[22,31,43],"estimates":[24],"second":[27],"stage.":[28],"For":[29],"counts":[30],"events":[32,54],"as":[33],"outcome,":[34],"risk":[36],"ratio":[37],"is":[38,94],"often":[39],"measure":[42],"choice.":[44],"However,":[45,104],"if":[46],"meta-analysis":[48],"includes":[49],"many":[50],"studies":[51,80,119],"no":[53,78],"method":[57],"breaks":[58],"down.":[59],"As":[60],"alternative":[62],"one-stage":[63],"approach,":[64],"a":[65,70],"Poisson":[66,101],"regression":[67,102],"model":[68,73,88],"conditional":[71,86],"binomial":[72,87],"can":[74],"be":[75],"considered":[76],"where":[77],"event":[79],"do":[81,125],"not":[82,96,126],"cause":[83],"problems.":[84],"The":[85],"excludes":[89],"double-zero":[90,118],"studies,":[91],"whereas":[92],"this":[93],"seemingly":[95],"case":[98,130],"approach.":[103],"we":[105],"show":[106],"here":[107],"that":[108],"both":[109],"models":[110],"lead":[111],"to":[112,122,131],"same":[114],"likelihood":[115],"inference":[116],"(in":[120],"contrast":[121],"single-zero":[123],"studies)":[124],"contribute":[127],"either":[129],"likelihood.":[133]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-03-06T00:00:00"}
