{"id":"https://openalex.org/W2606250871","doi":"https://doi.org/10.1080/03610918.2017.1315730","title":"Bayesian hierarchical joint modeling using skew-normal/independent distributions","display_name":"Bayesian hierarchical joint modeling using skew-normal/independent distributions","publication_year":2017,"publication_date":"2017-04-19","ids":{"openalex":"https://openalex.org/W2606250871","doi":"https://doi.org/10.1080/03610918.2017.1315730","mag":"2606250871","pmid":"https://pubmed.ncbi.nlm.nih.gov/30174369"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2017.1315730","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1315730","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"],"host_organization_lineage_names":["Taylor & Francis"],"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","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/10161/15474","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100765638","display_name":"Geng Chen","orcid":"https://orcid.org/0000-0001-8350-6581"},"institutions":[{"id":"https://openalex.org/I4210114143","display_name":"GlaxoSmithKline (United States)","ror":"https://ror.org/025vn3989","country_code":"US","type":"company","lineage":["https://openalex.org/I188950975","https://openalex.org/I4210114143"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Geng Chen","raw_affiliation_strings":["Clinical Statistics, GlaxoSmithKline, Collegeville, PA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clinical Statistics, GlaxoSmithKline, Collegeville, PA, USA","institution_ids":["https://openalex.org/I4210114143"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074197949","display_name":"Sheng Luo","orcid":"https://orcid.org/0000-0003-4214-5809"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sheng Luo","raw_affiliation_strings":["Department of Biostatistics, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5074197949"],"corresponding_institution_ids":["https://openalex.org/I919571938"],"apc_list":null,"apc_paid":null,"fwci":0.9091,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.77496518,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"47","issue":"5","first_page":"1420","last_page":"1438"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9779999852180481,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9779999852180481,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9677000045776367,"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/T10826","display_name":"Behavioral and Psychological Studies","score":0.9524000287055969,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7632039785385132},{"id":"https://openalex.org/keywords/skewness","display_name":"Skewness","score":0.7442253828048706},{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.6090982556343079},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.575924813747406},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.5482339859008789},{"id":"https://openalex.org/keywords/skew","display_name":"Skew","score":0.5473166108131409},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5146966576576233},{"id":"https://openalex.org/keywords/marginal-model","display_name":"Marginal model","score":0.5129899382591248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46221819519996643},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.45022010803222656},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3291444778442383},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.22952917218208313}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7632039785385132},{"id":"https://openalex.org/C122342681","wikidata":"https://www.wikidata.org/wiki/Q330828","display_name":"Skewness","level":2,"score":0.7442253828048706},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.6090982556343079},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.575924813747406},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.5482339859008789},{"id":"https://openalex.org/C43711488","wikidata":"https://www.wikidata.org/wiki/Q7534783","display_name":"Skew","level":2,"score":0.5473166108131409},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5146966576576233},{"id":"https://openalex.org/C197656967","wikidata":"https://www.wikidata.org/wiki/Q17058458","display_name":"Marginal model","level":3,"score":0.5129899382591248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46221819519996643},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.45022010803222656},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3291444778442383},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.22952917218208313},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1080/03610918.2017.1315730","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1315730","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"],"host_organization_lineage_names":["Taylor & Francis"],"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":"pmid:30174369","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30174369","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,"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":"Communications in statistics: Simulation and computation","raw_type":null},{"id":"pmh:oai:dukespace.lib.duke.edu:10161/15474","is_oa":true,"landing_page_url":"http://hdl.handle.net/10161/15474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400687","display_name":"DukeSpace (Duke University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170897317","host_organization_name":"Duke University","host_organization_lineage":["https://openalex.org/I170897317"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},{"id":"pmh:oai:europepmc.org:5285902","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6114938","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/4888241","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Bayesian_Hierarchical_Joint_Modeling_Using_Skew-Normal_Independent_Distributions/4888241","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6114938","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6114938","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Commun Stat Simul Comput","raw_type":"Text"},{"id":"doi:10.6084/m9.figshare.4888241.v2","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.4888241.v2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:dukespace.lib.duke.edu:10161/15474","is_oa":true,"landing_page_url":"http://hdl.handle.net/10161/15474","pdf_url":null,"source":{"id":"https://openalex.org/S4306400687","display_name":"DukeSpace (Duke University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I170897317","host_organization_name":"Duke University","host_organization_lineage":["https://openalex.org/I170897317"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"},"sustainable_development_goals":[{"score":0.6000000238418579,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G5312225535","display_name":null,"funder_award_id":"R01 NS091307","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"},{"id":"https://openalex.org/G5454456862","display_name":null,"funder_award_id":"U01 NS043127","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"}],"funders":[{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1533056363","https://openalex.org/W1576177737","https://openalex.org/W1973969964","https://openalex.org/W1996263047","https://openalex.org/W2001496329","https://openalex.org/W2041285652","https://openalex.org/W2048758213","https://openalex.org/W2068817959","https://openalex.org/W2077527474","https://openalex.org/W2088982973","https://openalex.org/W2096931643","https://openalex.org/W2105575181","https://openalex.org/W2110324098","https://openalex.org/W2115670772","https://openalex.org/W2131987069","https://openalex.org/W2147018298","https://openalex.org/W2151211296","https://openalex.org/W2161322814","https://openalex.org/W2162678629","https://openalex.org/W2219828210","https://openalex.org/W2301404923","https://openalex.org/W2595176684","https://openalex.org/W4232719749"],"related_works":["https://openalex.org/W4289406402","https://openalex.org/W2896097814","https://openalex.org/W3087516072","https://openalex.org/W2502284897","https://openalex.org/W2913537149","https://openalex.org/W3082395339","https://openalex.org/W2785616772","https://openalex.org/W4315866209","https://openalex.org/W4243596578","https://openalex.org/W1622180344"],"abstract_inverted_index":{"The":[0,19],"multiple":[1,57],"longitudinal":[2,58],"outcomes":[3,25],"collected":[4],"in":[5,26],"many":[6],"clinical":[7,89],"trials":[8],"are":[9,53],"often":[10],"analyzed":[11],"by":[12,44,87],"multilevel":[13],"item":[14],"response":[15],"theory":[16],"(MLIRT)":[17],"models.":[18],"normality":[20],"assumption":[21],"for":[22,73,91],"the":[23,27,56,68],"continuous":[24],"MLIRT":[28,69],"models":[29],"can":[30],"be":[31,42],"violated":[32],"due":[33],"to":[34,71],"skewness":[35],"and/or":[36],"outliers.":[37],"Moreover,":[38],"patients'":[39],"follow-up":[40],"may":[41],"stopped":[43],"some":[45],"terminal":[46],"events":[47],"(e.g.,":[48],"death":[49],"or":[50],"dropout)":[51],"which":[52],"dependent":[54,80],"on":[55,67],"outcomes.":[59],"We":[60],"proposed":[61],"a":[62,88],"joint":[63],"modeling":[64],"framework":[65],"based":[66],"model":[70],"account":[72],"three":[74],"data":[75],"features:":[76],"skewness,":[77],"outliers,":[78],"and":[79],"censoring.":[81],"Our":[82],"method":[83],"development":[84],"was":[85],"motivated":[86],"study":[90],"Parkinson's":[92],"disease.":[93]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
