{"id":"https://openalex.org/W2891673573","doi":"https://doi.org/10.1093/bioinformatics/bty803","title":"BhGLM: Bayesian hierarchical GLMs and survival models, with applications to genomics and epidemiology","display_name":"BhGLM: Bayesian hierarchical GLMs and survival models, with applications to genomics and epidemiology","publication_year":2018,"publication_date":"2018-09-12","ids":{"openalex":"https://openalex.org/W2891673573","doi":"https://doi.org/10.1093/bioinformatics/bty803","mag":"2891673573","pmid":"https://pubmed.ncbi.nlm.nih.gov/30219850"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/bty803","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty803","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"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":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7963076","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086059667","display_name":"Nengjun Yi","orcid":"https://orcid.org/0000-0001-5857-5868"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nengjun Yi","raw_affiliation_strings":["Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA","institution_ids":["https://openalex.org/I32389192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083525893","display_name":"Zaixiang Tang","orcid":"https://orcid.org/0000-0003-4981-3347"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zaixiang Tang","raw_affiliation_strings":["Department of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, School of Public Health, Medical College of Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100393363","display_name":"Xinyan Zhang","orcid":"https://orcid.org/0000-0002-8274-8711"},"institutions":[{"id":"https://openalex.org/I39815113","display_name":"Georgia Southern University","ror":"https://ror.org/04agmb972","country_code":"US","type":"education","lineage":["https://openalex.org/I39815113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinyan Zhang","raw_affiliation_strings":["Department of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA","institution_ids":["https://openalex.org/I39815113"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012987083","display_name":"Boyi Guo","orcid":"https://orcid.org/0000-0003-2950-2349"},"institutions":[{"id":"https://openalex.org/I32389192","display_name":"University of Alabama at Birmingham","ror":"https://ror.org/008s83205","country_code":"US","type":"education","lineage":["https://openalex.org/I32389192"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Boyi Guo","raw_affiliation_strings":["Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA","institution_ids":["https://openalex.org/I32389192"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086059667"],"corresponding_institution_ids":["https://openalex.org/I32389192"],"apc_list":{"value":3618,"currency":"USD","value_usd":3618},"apc_paid":null,"fwci":2.9793,"has_fulltext":false,"cited_by_count":48,"citation_normalized_percentile":{"value":0.92780375,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"35","issue":"8","first_page":"1419","last_page":"1421"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.5401999950408936,"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/T10136","display_name":"Statistical Methods and Inference","score":0.5401999950408936,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.18619999289512634,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.0729999989271164,"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/computer-science","display_name":"Computer science","score":0.6502727270126343},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6436782479286194},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.565746545791626},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.5202063918113708},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.44740888476371765},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39691343903541565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3355502486228943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30982497334480286}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502727270126343},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6436782479286194},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.565746545791626},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.5202063918113708},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.44740888476371765},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39691343903541565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3355502486228943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30982497334480286},{"id":"https://openalex.org/C459310","wikidata":"https://www.wikidata.org/wiki/Q117801","display_name":"Computational science","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/bioinformatics/bty803","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty803","pdf_url":null,"source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"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":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:30219850","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30219850","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":"Bioinformatics (Oxford, England)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7963076","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7963076","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":"Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7963076","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7963076","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":"Bioinformatics","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6700000166893005}],"awards":[{"id":"https://openalex.org/G1047213913","display_name":null,"funder_award_id":"81773541","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1570259014","display_name":null,"funder_award_id":"81573253","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3579988236","display_name":null,"funder_award_id":"R01 GM069430","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G6704334103","display_name":null,"funder_award_id":"R01 CA216108","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W571710515","https://openalex.org/W1513618424","https://openalex.org/W2014546191","https://openalex.org/W2045656233","https://openalex.org/W2046847917","https://openalex.org/W2047102900","https://openalex.org/W2060427373","https://openalex.org/W2097360283","https://openalex.org/W2157076315","https://openalex.org/W2543202932","https://openalex.org/W2611594661","https://openalex.org/W2766879793","https://openalex.org/W2805488111","https://openalex.org/W2950517073","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W2284300159","https://openalex.org/W2754214645","https://openalex.org/W2527940101","https://openalex.org/W1482399408","https://openalex.org/W2961085424","https://openalex.org/W49891529","https://openalex.org/W2605824594","https://openalex.org/W2284135609","https://openalex.org/W4245254016","https://openalex.org/W2004962817"],"abstract_inverted_index":{"SUMMARY:":[0],"BhGLM":[1,65],"is":[2,82,115],"a":[3],"freely":[4,116],"available":[5,117],"R":[6],"package":[7,81,114],"that":[8],"implements":[9],"Bayesian":[10,27],"hierarchical":[11,28],"modeling":[12],"for":[13,23,45,69,76,85],"high-dimensional":[14],"clinical":[15],"and":[16,35,52,59,73,75,94,104],"genomic":[17],"data.":[18],"It":[19],"consists":[20],"of":[21,42],"functions":[22,56,68],"setting":[24],"up":[25],"various":[26],"models,":[29,38,102],"including":[30],"generalized":[31],"linear":[32],"models":[33],"(GLMs)":[34],"Cox":[36],"survival":[37],"with":[39],"four":[40],"types":[41],"prior":[43],"distributions":[44],"coefficients,":[46],"i.e.":[47,90],"double-exponential,":[48],"Student-t,":[49],"mixture":[50,53],"double-exponential":[51],"Student-t.":[54],"These":[55],"adapt":[57],"fast":[58],"stable":[60],"algorithms":[61,103],"to":[62],"estimate":[63],"parameters.":[64],"also":[66],"provides":[67],"summarizing":[70],"results":[71],"numerically":[72],"graphically":[74],"evaluating":[77],"predictive":[78],"values.":[79],"The":[80,113],"particularly":[83],"useful":[84],"analyzing":[86],"large-scale":[87],"molecular":[88],"data,":[89],"detecting":[91],"disease-associated":[92],"variables":[93],"predicting":[95],"disease":[96],"outcomes.":[97],"We":[98],"here":[99],"describe":[100],"the":[101,119],"associated":[105],"features":[106],"implemented":[107],"in":[108],"BhGLM.":[109],"AVAILABILITY":[110],"AND":[111],"IMPLEMENTATION:":[112],"from":[118],"public":[120],"GitHub":[121],"repository,":[122],"https://github.com/nyiuab/BhGLM.":[123]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
