{"id":"https://openalex.org/W3039226036","doi":"https://doi.org/10.1093/jamia/ocaa044","title":"Learning from local to global: An efficient distributed algorithm for modeling time-to-event data","display_name":"Learning from local to global: An efficient distributed algorithm for modeling time-to-event data","publication_year":2020,"publication_date":"2020-03-28","ids":{"openalex":"https://openalex.org/W3039226036","doi":"https://doi.org/10.1093/jamia/ocaa044","mag":"3039226036","pmid":"https://pubmed.ncbi.nlm.nih.gov/32626900"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocaa044","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocaa044","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"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":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647322","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089178051","display_name":"Rui Duan","orcid":"https://orcid.org/0000-0002-9261-4864"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rui Duan","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011307249","display_name":"Chongliang Luo","orcid":"https://orcid.org/0000-0003-3682-9454"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chongliang Luo","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077586396","display_name":"Martijn J. Schuemie","orcid":"https://orcid.org/0000-0002-0817-5361"},"institutions":[{"id":"https://openalex.org/I4210151386","display_name":"Janssen (United States)","ror":"https://ror.org/05af73403","country_code":"US","type":"company","lineage":["https://openalex.org/I1330063522","https://openalex.org/I4210151386"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Martijn J Schuemie","raw_affiliation_strings":["Janssen Research and Development LLC, Titusville, New Jersey, USA"],"raw_orcid":"https://orcid.org/0000-0002-0817-5361","affiliations":[{"raw_affiliation_string":"Janssen Research and Development LLC, Titusville, New Jersey, USA","institution_ids":["https://openalex.org/I4210151386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009398988","display_name":"Jiayi Tong","orcid":"https://orcid.org/0000-0002-1213-6699"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiayi Tong","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102802467","display_name":"C Jason Liang","orcid":"https://orcid.org/0009-0009-7586-144X"},"institutions":[{"id":"https://openalex.org/I4210134534","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210134534"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"C Jason Liang","raw_affiliation_strings":["Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Bethesda, Maryland, USA","institution_ids":["https://openalex.org/I4210134534"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000225915","display_name":"Howard H. Chang","orcid":"https://orcid.org/0000-0002-6316-1640"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Howard H Chang","raw_affiliation_strings":["Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Bioinformatics, Emory University, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002364120","display_name":"Mary Regina Boland","orcid":"https://orcid.org/0000-0001-8576-6408"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mary Regina Boland","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0001-8576-6408","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030951014","display_name":"Jiang Bian","orcid":"https://orcid.org/0000-0002-2238-5429"},"institutions":[{"id":"https://openalex.org/I2800717037","display_name":"University of Florida Health","ror":"https://ror.org/04tk2gy88","country_code":"US","type":"education","lineage":["https://openalex.org/I2800717037"]},{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]},{"id":"https://openalex.org/I4390039331","display_name":"UF Health Cancer Center","ror":"https://ror.org/044vhe029","country_code":null,"type":"healthcare","lineage":["https://openalex.org/I2800717037","https://openalex.org/I4390039331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiang Bian","raw_affiliation_strings":["Cancer Informatics and eHealth Core, University of Florida Health Cancer Center, Gainesville, Florida, USA","Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cancer Informatics and eHealth Core, University of Florida Health Cancer Center, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I2800717037","https://openalex.org/I4390039331"]},{"raw_affiliation_string":"Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida, USA","institution_ids":["https://openalex.org/I33213144"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084072550","display_name":"Hua Xu","orcid":"https://orcid.org/0000-0002-5274-4672"},"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":false,"raw_author_name":"Hua Xu","raw_affiliation_strings":["School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0002-5274-4672","affiliations":[{"raw_affiliation_string":"School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032708536","display_name":"John H. Holmes","orcid":"https://orcid.org/0000-0003-2167-3602"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John H Holmes","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005348970","display_name":"Christopher B. Forrest","orcid":"https://orcid.org/0000-0003-1252-068X"},"institutions":[{"id":"https://openalex.org/I1335321130","display_name":"Children's Hospital of Philadelphia","ror":"https://ror.org/01z7r7q48","country_code":"US","type":"funder","lineage":["https://openalex.org/I1335321130"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Christopher B Forrest","raw_affiliation_strings":["Applied Clinical Research Center, Children\u2019s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Clinical Research Center, Children\u2019s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I1335321130"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103695957","display_name":"Sally C. Morton","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sally C Morton","raw_affiliation_strings":["Department of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, USA","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051242364","display_name":"Jesse A. Berlin","orcid":"https://orcid.org/0000-0002-9810-745X"},"institutions":[{"id":"https://openalex.org/I1330063522","display_name":"Johnson & Johnson (United States)","ror":"https://ror.org/03qd7mz70","country_code":"US","type":"company","lineage":["https://openalex.org/I1330063522"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jesse A Berlin","raw_affiliation_strings":["Johnson & Johnson, Titusville, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johnson & Johnson, Titusville, NJ, USA","institution_ids":["https://openalex.org/I1330063522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032971510","display_name":"Jason H. Moore","orcid":"https://orcid.org/0000-0002-5015-1099"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason H Moore","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005209337","display_name":"Kevin Mahoney","orcid":"https://orcid.org/0000-0001-9930-2575"},"institutions":[{"id":"https://openalex.org/I4210143392","display_name":"University of Pennsylvania Health System","ror":"https://ror.org/04h81rw26","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210143392"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin B Mahoney","raw_affiliation_strings":["University of Pennsylvania Health System, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pennsylvania Health System, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I4210143392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100454438","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0003-0835-0788"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yong Chen","raw_affiliation_strings":["Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":16,"corresponding_author_ids":["https://openalex.org/A5089178051"],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":8.9513,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.98486244,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"27","issue":"7","first_page":"1028","last_page":"1036"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.22300000488758087,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.22300000488758087,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.1339000016450882,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.06750000268220901,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7533841133117676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5685491561889648},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5519301295280457},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.516897439956665},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.49148404598236084},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.4753665328025818},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4721244275569916},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.41773557662963867},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4026453495025635},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3339589238166809},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31306037306785583},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.23233070969581604}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7533841133117676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5685491561889648},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5519301295280457},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.516897439956665},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.49148404598236084},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.4753665328025818},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4721244275569916},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.41773557662963867},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4026453495025635},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3339589238166809},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31306037306785583},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.23233070969581604},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015982","descriptor_name":"Bias","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015982","descriptor_name":"Bias","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015982","descriptor_name":"Bias","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015982","descriptor_name":"Bias","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","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":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016016","descriptor_name":"Proportional Hazards Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D066264","descriptor_name":"Datasets as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocaa044","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocaa044","pdf_url":null,"source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"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":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:32626900","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32626900","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":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:7647322","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647322","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":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7647322","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647322","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":"J Am Med Inform Assoc","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1413019591","display_name":null,"funder_award_id":"1R01AI130460","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3317517015","display_name":null,"funder_award_id":"1R01LM012607","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G4923956253","display_name":null,"funder_award_id":"R21AG061431","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7211153767","display_name":null,"funder_award_id":"UL1TR001427","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7937560773","display_name":null,"funder_award_id":"5R01LM010098","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8220595071","display_name":null,"funder_award_id":"1R01AI116794","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G8509218437","display_name":null,"funder_award_id":"R01CA246418","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320308927","display_name":"Patient-Centered Outcomes Research Institute","ror":"https://ror.org/014q65q44"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W34678172","https://openalex.org/W1126991912","https://openalex.org/W1580788756","https://openalex.org/W1786407144","https://openalex.org/W1946622722","https://openalex.org/W2048772309","https://openalex.org/W2063389953","https://openalex.org/W2098376057","https://openalex.org/W2112820664","https://openalex.org/W2117265097","https://openalex.org/W2124478641","https://openalex.org/W2134405146","https://openalex.org/W2148554370","https://openalex.org/W2151868700","https://openalex.org/W2157440718","https://openalex.org/W2171017045","https://openalex.org/W2395344476","https://openalex.org/W2410097662","https://openalex.org/W2560688864","https://openalex.org/W2725826768","https://openalex.org/W2759618036","https://openalex.org/W2765619636","https://openalex.org/W2888570419","https://openalex.org/W2902433360","https://openalex.org/W2964166170","https://openalex.org/W2964231067","https://openalex.org/W3147894994","https://openalex.org/W6627291559","https://openalex.org/W6711649141"],"related_works":["https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4381328000","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W2109147503","https://openalex.org/W2085630472","https://openalex.org/W4285201053"],"abstract_inverted_index":{"OBJECTIVE:":[0],"We":[1,93],"developed":[2],"and":[3,78,104,120,178,228,263,282,301],"evaluated":[4,94],"a":[5,12,32,45,71,85,101,106,146,236,261,304],"privacy-preserving":[6,262],"One-shot":[7],"Distributed":[8],"Algorithm":[9],"to":[10],"fit":[11],"multicenter":[13],"Cox":[14,51],"proportional":[15],"hazards":[16],"model":[17,76],"(ODAC)":[18],"without":[19],"sharing":[20],"patient-level":[21,29,57,151],"information":[22,39],"across":[23,165,174,270],"sites.":[24,61,272],"MATERIALS":[25],"AND":[26],"METHODS:":[27],"Using":[28],"data":[30,58,152],"from":[31,40,59,114,153],"single":[33,147],"site":[34,69],"combined":[35,150],"with":[36,99,210,278],"only":[37],"aggregated":[38],"other":[41,183],"sites,":[42],"we":[43],"constructed":[44,83],"surrogate":[46,65],"likelihood":[47,53,66],"function,":[48,67],"approximating":[49],"the":[50,64,75,79,90,95,115,125,137,140,149,157,182,185,192,198,205,211,217,223,232,249,279,285,289],"partial":[52],"function":[54],"obtained":[55,70,142,190],"using":[56,111],"all":[60,89,154,166],"By":[62],"maximizing":[63],"each":[68],"local":[72,91],"estimate":[73],"of":[74,88,97,170,197,243],"parameter,":[77],"ODAC":[80,98,133,171,233,259],"estimator":[81,141,281,287],"was":[82,163,189],"as":[84,139],"weighted":[86,195],"average":[87,196],"estimates.":[92],"performance":[96],"(1)":[100],"simulation":[102,129],"study":[103,110,130],"(2)":[105],"real-world":[107],"use":[108],"case":[109],"4":[112],"datasets":[113],"Observational":[116,224],"Health":[117,225],"Data":[118,226],"Sciences":[119,227],"Informatics":[121,229],"network.":[122],"RESULTS:":[123],"On":[124,181],"one":[126],"hand,":[127,184],"our":[128],"showed":[131],"that":[132],"provided":[134],"estimates":[135,234,251,275],"nearly":[136],"same":[138],"by":[143,191],"analyzing,":[144],"in":[145,303],"dataset,":[148],"sites":[155],"(ie,":[156],"pooled":[158,280],"estimator).":[159],"The":[160,168],"relative":[161,212,237],"bias":[162,203,213,238,255],"<0.1%":[164],"scenarios.":[167],"accuracy":[169],"remained":[172],"high":[173],"different":[175],"sample":[176],"sizes":[177],"event":[179,206,218,290],"rates.":[180],"meta-analysis":[186,250,286],"estimator,":[187],"which":[188],"inverse":[193],"variance":[194],"site-specific":[199],"estimates,":[200],"had":[201,252],"substantial":[202],"when":[204,216,288],"rate":[207,219],"is":[208,220,260,291],"<5%,":[209],"reaching":[214],"20%":[215],"1%.":[221],"In":[222],"network":[230],"application,":[231],"have":[235],"<5%":[239],"for":[240,266,297],"15":[241],"out":[242],"16":[244],"log":[245],"hazard":[246],"ratios,":[247],"whereas":[248],"substantially":[253,283],"higher":[254],"than":[256],"ODAC.":[257],"CONCLUSIONS:":[258],"noniterative":[264],"method":[265],"implementing":[267],"time-to-event":[268],"analyses":[269],"multiple":[271],"It":[273],"provides":[274],"on":[276],"par":[277],"outperforms":[284],"uncommon,":[292],"making":[293],"it":[294],"extremely":[295],"suitable":[296],"studying":[298],"rare":[299],"events":[300],"diseases":[302],"distributed":[305],"manner.":[306]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":6}],"updated_date":"2026-04-29T09:16:38.111599","created_date":"2025-10-10T00:00:00"}
