{"id":"https://openalex.org/W4299305591","doi":"https://doi.org/10.1201/9781315374871","title":"Joint Modeling of Longitudinal and Time-to-Event Data","display_name":"Joint Modeling of Longitudinal and Time-to-Event Data","publication_year":2016,"publication_date":"2016-10-04","ids":{"openalex":"https://openalex.org/W4299305591","doi":"https://doi.org/10.1201/9781315374871"},"language":"en","primary_location":{"id":"doi:10.1201/9781315374871","doi":"https://doi.org/10.1201/9781315374871","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781315374871","pdf_url":null,"source":{"id":"https://openalex.org/S4306467597","display_name":"Chapman & Hall/CRC eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320449","host_organization_name":"Informa","host_organization_lineage":["https://openalex.org/P4310320449"],"host_organization_lineage_names":["Informa"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"book"},"volume":null,"type":"book","is_traditional":true,"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/A5110150521","display_name":"Robert M. Elashoff","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Robert Elashoff","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438627","display_name":"Gang Li","orcid":"https://orcid.org/0000-0001-7101-9532","observed_orcids":["https://orcid.org/0000-0001-7101-9532","https://orcid.org/0000-0001-7835-4739"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gang li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100369063","display_name":"Ning Li","orcid":"https://orcid.org/0000-0002-9383-7381","observed_orcids":["https://orcid.org/0000-0002-9383-7381"]},"institutions":[{"id":"https://openalex.org/I161318765","display_name":"University of California, Los Angeles","ror":"https://ror.org/046rm7j60","country_code":"US","type":"education","lineage":["https://openalex.org/I161318765"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ning Li","raw_affiliation_strings":["UCLA School of Public Health, Los Angeles, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UCLA School of Public Health, Los Angeles, California, USA","institution_ids":["https://openalex.org/I161318765"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1466,"has_fulltext":false,"cited_by_count":82,"citation_normalized_percentile":{"value":0.86724138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"383","last_page":"384"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9976000189781189,"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":0.9976000189781189,"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":0.000699999975040555,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.00019999999494757503,"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/joint-modeling","display_name":"joint modeling","score":0.9829999804496765},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"longitudinal data","score":0.9860000014305115},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"survival analysis","score":0.7839999794960022},{"id":"https://openalex.org/keywords/lifetime-data","display_name":"time-to-event data","score":0.9779999852180481},{"id":"https://openalex.org/keywords/nonignorable-missing-data","display_name":"nonignorable missing data","score":0.8889999985694885},{"id":"https://openalex.org/keywords/informative-observation-times","display_name":"informative observation times","score":0.9919999837875366},{"id":"https://openalex.org/keywords/time-dependent-covariates","display_name":"time-varying covariates","score":0.8460000157356262},{"id":"https://openalex.org/keywords/measurement-error","display_name":"measurement error","score":0.9470000267028809},{"id":"https://openalex.org/keywords/clinical-research","display_name":"clinical research","score":0.6230000257492065}],"concepts":[{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6860513687133789},{"id":"https://openalex.org/C2987896495","wikidata":"https://www.wikidata.org/wiki/Q5416716","display_name":"Event data","level":3,"score":0.6827528476715088},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5653563737869263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4814678728580475},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.45895156264305115},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2489551305770874},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21248438954353333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12814739346504211},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09673270583152771},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.09244999289512634},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1201/9781315374871","doi":"https://doi.org/10.1201/9781315374871","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9781315374871","pdf_url":null,"source":{"id":"https://openalex.org/S4306467597","display_name":"Chapman & Hall/CRC eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320449","host_organization_name":"Informa","host_organization_lineage":["https://openalex.org/P4310320449"],"host_organization_lineage_names":["Informa"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"book"},{"id":"pmh:oai:HAL:hal-03010356v1","doi":null,"is_oa":false,"landing_page_url":"https://hal.science/hal-03010356","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Biometrics, In press, 74, pp.383-384","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:cds.cern.ch:2279396","doi":null,"is_oa":false,"landing_page_url":"http://cds.cern.ch/record/2279396","pdf_url":null,"source":{"id":"https://openalex.org/S4306402195","display_name":"CERN Document Server (European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2790058968","https://openalex.org/W2111793063","https://openalex.org/W7160274488","https://openalex.org/W2048108181","https://openalex.org/W4404349240","https://openalex.org/W2769934063","https://openalex.org/W3212205207","https://openalex.org/W2480960249","https://openalex.org/W3115261960","https://openalex.org/W4240400659"],"abstract_inverted_index":{"Longitudinal":[0,73],"studies":[1],"often":[2],"incur":[3],"several":[4],"problems":[5,15],"that":[6,43],"challenge":[7],"standard":[8],"statistical":[9,85],"methods":[10,93],"for":[11,115,136,164],"data":[12,19,59,98,111],"analysis.":[13],"These":[14],"include":[16],"non-ignorable":[17],"missing":[18],"in":[20,87,153,169],"longitudinal":[21,33,56,143],"measurements":[22],"of":[23,32,55,72,83,104,110,118],"one":[24],"or":[25,171],"more":[26],"response":[27],"variables,":[28],"informative":[29],"observation":[30],"times":[31],"data,":[34,146],"and":[35,57,74,81,113],"survival":[36,145],"analysis":[37],"with":[38],"intermittently":[39],"measured":[40],"time-dependent":[41],"covariates":[42],"are":[44,94,123],"subject":[45],"to":[46,66,141],"measurement":[47],"error":[48],"and/or":[49,144],"substantial":[50],"biological":[51],"variation.":[52],"Joint":[53,70],"modeling":[54,121],"time-to-event":[58],"has":[60],"emerged":[61],"as":[62,132,147,149,161],"a":[63,78,101,133,162,165],"novel":[64],"approach":[65],"handle":[67],"these":[68],"issues.":[69],"Modeling":[71],"Time-to-Event":[75],"Data":[76],"provides":[77],"systematic":[79],"introduction":[80],"review":[82],"state-of-the-art":[84],"methodology":[86,152],"this":[88,154],"active":[89],"research":[90,106],"field.":[91,155],"The":[92],"illustrated":[95],"by":[96],"real":[97],"examples":[99],"from":[100],"wide":[102],"range":[103],"clinical":[105],"topics.":[107],"A":[108],"collection":[109],"sets":[112],"software":[114],"practical":[116],"implementation":[117],"the":[119,126],"joint":[120],"methodologies":[122],"available":[124],"through":[125],"book":[127,130,135],"website.":[128],"This":[129],"serves":[131],"reference":[134],"scientific":[137],"investigators":[138],"who":[139],"need":[140],"analyze":[142],"well":[148],"researchers":[150],"developing":[151],"It":[156],"may":[157],"also":[158],"be":[159],"used":[160],"textbook":[163],"graduate":[166],"level":[167],"course":[168],"biostatistics":[170],"statistics.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-10-02T00:00:00"}