{"id":"https://openalex.org/W2979566915","doi":"https://doi.org/10.1080/03610918.2019.1676439","title":"Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors","display_name":"Model selection for Bayesian linear mixed models with longitudinal data: Sensitivity to the choice of priors","publication_year":2019,"publication_date":"2019-10-11","ids":{"openalex":"https://openalex.org/W2979566915","doi":"https://doi.org/10.1080/03610918.2019.1676439","mag":"2979566915"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1676439","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1676439","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026991539","display_name":"Oludare Ariyo","orcid":"https://orcid.org/0000-0003-3375-1831"},"institutions":[{"id":"https://openalex.org/I18045400","display_name":"Federal University of Agriculture, Abeokuta","ror":"https://ror.org/050s1zm26","country_code":"NG","type":"education","lineage":["https://openalex.org/I18045400"]},{"id":"https://openalex.org/I4210157459","display_name":"Biostatistical Consulting (United States)","ror":"https://ror.org/05p8v7d26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210157459"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","NG","US"],"is_corresponding":true,"raw_author_name":"Oludare Ariyo","raw_affiliation_strings":["Department of Statistics, Federal University of Agriculture","Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven","Department of Statistics, Federal University of Agriculture, Abeokuta, Nigeria","Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-3375-1831","affiliations":[{"raw_affiliation_string":"Department of Statistics, Federal University of Agriculture","institution_ids":["https://openalex.org/I18045400"]},{"raw_affiliation_string":"Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven","institution_ids":["https://openalex.org/I4210157459"]},{"raw_affiliation_string":"Department of Statistics, Federal University of Agriculture, Abeokuta, Nigeria","institution_ids":["https://openalex.org/I18045400"]},{"raw_affiliation_string":"Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Emmanuel Lesaffre","orcid":"https://orcid.org/0000-0001-7268-2221"},"institutions":[{"id":"https://openalex.org/I4210157459","display_name":"Biostatistical Consulting (United States)","ror":"https://ror.org/05p8v7d26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210157459"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","US"],"is_corresponding":false,"raw_author_name":"Emmanuel Lesaffre","raw_affiliation_strings":["Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven","Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-7268-2221","affiliations":[{"raw_affiliation_string":"Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven","institution_ids":["https://openalex.org/I4210157459"]},{"raw_affiliation_string":"Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012712033","display_name":"Geert Verbeke","orcid":"https://orcid.org/0000-0001-8430-7576"},"institutions":[{"id":"https://openalex.org/I4210157459","display_name":"Biostatistical Consulting (United States)","ror":"https://ror.org/05p8v7d26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210157459"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","US"],"is_corresponding":false,"raw_author_name":"Geert Verbeke","raw_affiliation_strings":["Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven","Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven, Leuven, Belgium"],"raw_orcid":"https://orcid.org/0000-0001-8430-7576","affiliations":[{"raw_affiliation_string":"Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven","institution_ids":["https://openalex.org/I4210157459"]},{"raw_affiliation_string":"Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102908102","display_name":"Adrian Quintero","orcid":"https://orcid.org/0000-0001-7268-2221"},"institutions":[{"id":"https://openalex.org/I4210157459","display_name":"Biostatistical Consulting (United States)","ror":"https://ror.org/05p8v7d26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210157459"]},{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE","US"],"is_corresponding":false,"raw_author_name":"Adrian Quintero","raw_affiliation_strings":["Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven","Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven","institution_ids":["https://openalex.org/I4210157459"]},{"raw_affiliation_string":"Interuniversity Institute for Biostatistics and Statistical Bioinformatics (I-BioStat), KU Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026991539"],"corresponding_institution_ids":["https://openalex.org/I18045400","https://openalex.org/I4210157459","https://openalex.org/I99464096"],"apc_list":null,"apc_paid":null,"fwci":1.8683,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.8763869,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"51","issue":"4","first_page":"1591","last_page":"1615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9994999766349792,"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"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9994999766349792,"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":0.9990000128746033,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.9458622932434082},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5782960653305054},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5386746525764465},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.496265709400177},{"id":"https://openalex.org/keywords/inverse-wishart-distribution","display_name":"Inverse-Wishart distribution","score":0.4792625904083252},{"id":"https://openalex.org/keywords/random-effects-model","display_name":"Random effects model","score":0.4537045359611511},{"id":"https://openalex.org/keywords/wishart-distribution","display_name":"Wishart distribution","score":0.4471457898616791},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.44189316034317017},{"id":"https://openalex.org/keywords/marginal-likelihood","display_name":"Marginal likelihood","score":0.42492857575416565},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.417070209980011},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.40369749069213867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3092328906059265},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2539322078227997}],"concepts":[{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.9458622932434082},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5782960653305054},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5386746525764465},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.496265709400177},{"id":"https://openalex.org/C40851411","wikidata":"https://www.wikidata.org/wiki/Q3258368","display_name":"Inverse-Wishart distribution","level":4,"score":0.4792625904083252},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.4537045359611511},{"id":"https://openalex.org/C33962027","wikidata":"https://www.wikidata.org/wiki/Q1930697","display_name":"Wishart distribution","level":3,"score":0.4471457898616791},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44189316034317017},{"id":"https://openalex.org/C95923904","wikidata":"https://www.wikidata.org/wiki/Q6760420","display_name":"Marginal likelihood","level":3,"score":0.42492857575416565},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.417070209980011},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40369749069213867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3092328906059265},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2539322078227997},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/03610918.2019.1676439","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1676439","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/650159","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/650159/2/Ariyo%20Lesaffre%20et%20al%20Comm%20Stat%20Sim%20Comp%202019.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Communications In Statistics-Simulation And Computation, vol. 51 (4)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W1249696972","https://openalex.org/W1479881385","https://openalex.org/W1506421308","https://openalex.org/W1517555081","https://openalex.org/W1532756434","https://openalex.org/W1536497620","https://openalex.org/W1580282541","https://openalex.org/W1922851081","https://openalex.org/W1965284210","https://openalex.org/W1972790352","https://openalex.org/W1979185350","https://openalex.org/W1981457167","https://openalex.org/W1985054565","https://openalex.org/W1987758777","https://openalex.org/W1994149668","https://openalex.org/W1997063559","https://openalex.org/W2015558203","https://openalex.org/W2019420194","https://openalex.org/W2039181086","https://openalex.org/W2040713875","https://openalex.org/W2044077647","https://openalex.org/W2044269646","https://openalex.org/W2057765075","https://openalex.org/W2065183593","https://openalex.org/W2073261834","https://openalex.org/W2073364515","https://openalex.org/W2075384682","https://openalex.org/W2082246284","https://openalex.org/W2082935924","https://openalex.org/W2084045976","https://openalex.org/W2087691922","https://openalex.org/W2093223772","https://openalex.org/W2100128674","https://openalex.org/W2103996680","https://openalex.org/W2112995480","https://openalex.org/W2123222757","https://openalex.org/W2148534890","https://openalex.org/W2149927654","https://openalex.org/W2160063906","https://openalex.org/W2160306985","https://openalex.org/W2160652035","https://openalex.org/W2161245106","https://openalex.org/W2162193517","https://openalex.org/W2168331993","https://openalex.org/W2187957277","https://openalex.org/W2194057929","https://openalex.org/W2322720146","https://openalex.org/W2324473035","https://openalex.org/W2342070517","https://openalex.org/W2354729568","https://openalex.org/W2482566988","https://openalex.org/W2577537660","https://openalex.org/W2589196999","https://openalex.org/W2734806518","https://openalex.org/W2787706703","https://openalex.org/W2790279067","https://openalex.org/W2911352402","https://openalex.org/W2969749125","https://openalex.org/W4211213775","https://openalex.org/W4232383088","https://openalex.org/W4248681815"],"related_works":["https://openalex.org/W2389605595","https://openalex.org/W2072145805","https://openalex.org/W2385446126","https://openalex.org/W3145918735","https://openalex.org/W1971850883","https://openalex.org/W2131668296","https://openalex.org/W1586339758","https://openalex.org/W3119492335","https://openalex.org/W3049713613","https://openalex.org/W4296941160"],"abstract_inverted_index":{"We":[0,86,112,182],"explore":[1],"the":[2,16,20,42,63,72,75,79,89,95,99,104,119,129,159,163,166,170,185,188],"performance":[3,161,186],"of":[4,19,74,78,91,98,143,162,172,187],"three":[5],"popular":[6],"Bayesian":[7,109],"model-selection":[8],"criteria":[9,45,168,190],"when":[10],"vague":[11,92,126],"priors":[12,73,93,127,150,176],"are":[13],"used":[14],"for":[15,56,71,94],"covariance":[17,76,96],"parameters":[18,66],"random":[21,80,100,120,136],"effects":[22,81,101],"in":[23,82,179],"a":[24,35,83,152,192],"linear":[25],"mixed-effects":[26],"model":[27,65],"(LMM)":[28],"using":[29,107],"an":[30],"extensive":[31],"simulation":[32],"study.":[33],"In":[34],"previous":[36],"paper,":[37],"we":[38,123,138],"have":[39],"shown":[40],"that":[41,55],"conditional":[43,116,167],"selection":[44,110,189],"perform":[46],"worse":[47],"than":[48],"their":[49,60],"marginal":[50,114,164],"counterparts.":[51],"It":[52],"is":[53],"known":[54],"some":[57],"\u201cvague\u201d":[58],"priors,":[59],"impact":[61,90],"on":[62,102,191],"estimated":[64],"can":[67],"be":[68],"non-negligible,":[69],"e.g.,":[70],"matrix":[77,97],"longitudinal":[84],"LMM.":[85],"evaluate":[87],"here":[88],"selecting":[103],"correct":[105],"LMM":[106],"classical":[108],"criteria.":[111,117],"consider":[113],"and":[115,151,169,174],"For":[118],"intercept":[121],"case,":[122],"assign":[124],"different":[125,141,148],"to":[128],"variance":[130],"parameters.":[131],"With":[132],"two":[133],"or":[134],"more":[135],"effects,":[137],"considered":[139],"five":[140,147],"specifications":[142],"inverse-Wishart":[144],"(IW)":[145],"prior,":[146],"separation":[149,175],"joint":[153,173],"prior.":[154],"The":[155],"results":[156],"show":[157],"again":[158],"better":[160],"over":[165,177],"superiority":[171],"IW":[178],"all":[180],"settings.":[181],"also":[183],"illustrate":[184],"practical":[193],"dataset.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
