{"id":"https://openalex.org/W2947015920","doi":"https://doi.org/10.1080/03610918.2019.1619763","title":"Generalized estimating equations for analyzing multivariate survival data","display_name":"Generalized estimating equations for analyzing multivariate survival data","publication_year":2019,"publication_date":"2019-05-30","ids":{"openalex":"https://openalex.org/W2947015920","doi":"https://doi.org/10.1080/03610918.2019.1619763","mag":"2947015920"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1619763","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1619763","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"],"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/A5101870116","display_name":"Liya Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fu Liya","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi'an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101727948","display_name":"Zhuoran Yang","orcid":"https://orcid.org/0000-0001-5269-9958"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoran Yang","raw_affiliation_strings":["School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi'an, China","School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Xi\u2019an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"School of Mathematics and Statistics, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020692924","display_name":"Jun Zhang","orcid":"https://orcid.org/0000-0003-4332-5182"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhang","raw_affiliation_strings":["College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062193096","display_name":"Anle Long","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anle Long","raw_affiliation_strings":["College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100665398","display_name":"Yan Zhou","orcid":"https://orcid.org/0000-0002-7489-9405"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Zhou","raw_affiliation_strings":["College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Institute of Statistical Sciences, Shenzhen Key Laboratory of Advanced Machine Learning and Applications, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100665398"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07187538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"50","issue":"10","first_page":"3060","last_page":"3068"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9980000257492065,"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":0.9980000257492065,"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/T10136","display_name":"Statistical Methods and Inference","score":0.996399998664856,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.993399977684021,"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/generalized-estimating-equation","display_name":"Generalized estimating equation","score":0.8472211360931396},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7990537881851196},{"id":"https://openalex.org/keywords/gee","display_name":"Gee","score":0.7333680987358093},{"id":"https://openalex.org/keywords/estimating-equations","display_name":"Estimating equations","score":0.6983898878097534},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.572882890701294},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5593100190162659},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.544111430644989},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5333395600318909},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.49205178022384644},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3856014907360077}],"concepts":[{"id":"https://openalex.org/C27403532","wikidata":"https://www.wikidata.org/wiki/Q5532474","display_name":"Generalized estimating equation","level":2,"score":0.8472211360931396},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7990537881851196},{"id":"https://openalex.org/C53084192","wikidata":"https://www.wikidata.org/wiki/Q1485121","display_name":"Gee","level":3,"score":0.7333680987358093},{"id":"https://openalex.org/C204016326","wikidata":"https://www.wikidata.org/wiki/Q5401384","display_name":"Estimating equations","level":3,"score":0.6983898878097534},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.572882890701294},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5593100190162659},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.544111430644989},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5333395600318909},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.49205178022384644},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3856014907360077},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1619763","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1619763","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2349162836","display_name":"\u57fa\u4e8e\u9ad8\u7ef4\u7eb5\u5411\u6570\u636e\u8fb9\u9645\u6a21\u578b\u7684\u53d8\u91cf\u9009\u62e9\u53ca\u7406\u8bba\u7814\u7a76","funder_award_id":"11871390","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3932256435","display_name":null,"funder_award_id":"11701385","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8080196064","display_name":"\u9ad8\u7ef4\u6570\u636e\u5206\u6790\u7684\u5206\u6cbb\u7b56\u7565","funder_award_id":"11871411","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1580788756","https://openalex.org/W1950067960","https://openalex.org/W1995204316","https://openalex.org/W2005101140","https://openalex.org/W2010479172","https://openalex.org/W2024904863","https://openalex.org/W2031844781","https://openalex.org/W2059331042","https://openalex.org/W2083972068","https://openalex.org/W2125873615","https://openalex.org/W2140588408","https://openalex.org/W2149860264","https://openalex.org/W2977606681","https://openalex.org/W3147894994"],"related_works":["https://openalex.org/W188365466","https://openalex.org/W1988971925","https://openalex.org/W1855024394","https://openalex.org/W28525196","https://openalex.org/W2126177329","https://openalex.org/W1995444278","https://openalex.org/W2070243348","https://openalex.org/W4384568471","https://openalex.org/W1504376066","https://openalex.org/W2140093687"],"abstract_inverted_index":{"Generalized":[0],"estimating":[1],"equations":[2],"(GEE)":[3],"approach":[4],"has":[5,29],"been":[6],"used":[7],"to":[8,48,83],"estimate":[9],"the":[10,25,38,50,53,85,88],"parameters":[11],"in":[12],"semiparametric":[13],"accelerated":[14],"failure":[15],"time":[16],"(AFT)":[17],"models":[18],"with":[19,66],"clustered":[20,54],"and":[21,55,58,75],"censored":[22,56],"data.":[23],"However,":[24],"working":[26],"correlation":[27,46,68],"model":[28,47],"a":[30,44,92,96],"substantial":[31],"impact":[32],"on":[33],"estimator":[34,72],"efficiency":[35,64],"when":[36],"using":[37],"GEE":[39],"method.":[40,90],"This":[41],"article":[42],"proposes":[43],"general":[45],"incorporate":[49],"correlations":[51],"among":[52],"data":[57],"protect":[59],"against":[60],"avoidable":[61],"loss":[62],"of":[63,87],"associated":[65],"misspecified":[67],"structure.":[69],"The":[70],"proposed":[71,89],"is":[73,99],"consistent":[74],"asymptotically":[76],"normal.":[77],"Simulation":[78],"studies":[79],"are":[80],"carried":[81],"out":[82],"demonstrate":[84],"effectiveness":[86],"Finally,":[91],"real":[93],"dataset":[94],"from":[95],"toxicology":[97],"study":[98],"analyzed":[100],"for":[101],"illustration.":[102]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}