{"id":"https://openalex.org/W3026843729","doi":"https://doi.org/10.1080/03610918.2020.1770284","title":"Joint analysis of longitudinal and interval-censored failure time data","display_name":"Joint analysis of longitudinal and interval-censored failure time data","publication_year":2020,"publication_date":"2020-05-25","ids":{"openalex":"https://openalex.org/W3026843729","doi":"https://doi.org/10.1080/03610918.2020.1770284","mag":"3026843729"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2020.1770284","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1770284","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/A5046016482","display_name":"Shuo\u2010Chun Weng","orcid":"https://orcid.org/0000-0001-5269-1155"},"institutions":[{"id":"https://openalex.org/I4210091773","display_name":"Taichung Veterans General Hospital","ror":"https://ror.org/00e87hq62","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210091773"]},{"id":"https://openalex.org/I4210087697","display_name":"National Yang Ming University Hospital","ror":"https://ror.org/003xdw211","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210087697"]},{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shuo-Chun Weng","raw_affiliation_strings":["Center for Geriatrics and Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan","Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan","Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Center for Geriatrics and Gerontology, Taichung Veterans General Hospital, Taichung, Taiwan","institution_ids":["https://openalex.org/I4210091773"]},{"raw_affiliation_string":"Division of Nephrology, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan","institution_ids":["https://openalex.org/I4210091773"]},{"raw_affiliation_string":"Institute of Clinical Medicine, National Yang-Ming University, Taipei, Taiwan","institution_ids":["https://openalex.org/I4210087697","https://openalex.org/I148366613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021024146","display_name":"Yin-Chu Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I96323854","display_name":"National Yang Ming Chiao Tung University","ror":null,"country_code":"TW","type":null,"lineage":["https://openalex.org/I96323854"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yin-Chu Chang","raw_affiliation_strings":["Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan","institution_ids":["https://openalex.org/I148366613","https://openalex.org/I96323854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049243143","display_name":"Chyong\u2010Mei Chen","orcid":"https://orcid.org/0000-0001-6824-4819"},"institutions":[{"id":"https://openalex.org/I148366613","display_name":"National Yang Ming Chiao Tung University","ror":"https://ror.org/00se2k293","country_code":"TW","type":"education","lineage":["https://openalex.org/I148366613"]},{"id":"https://openalex.org/I96323854","display_name":"National Yang Ming Chiao Tung University","ror":null,"country_code":"TW","type":null,"lineage":["https://openalex.org/I96323854"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chyong-Mei Chen","raw_affiliation_strings":["Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Public Health, School of Medicine, National Yang-Ming University, Taipei, Taiwan","institution_ids":["https://openalex.org/I148366613","https://openalex.org/I96323854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049243143"],"corresponding_institution_ids":["https://openalex.org/I148366613","https://openalex.org/I96323854"],"apc_list":null,"apc_paid":null,"fwci":0.216,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.54333993,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"51","issue":"9","first_page":"5333","last_page":"5349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9990000128746033,"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":0.9990000128746033,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9966999888420105,"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":0.9901999831199646,"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/censoring","display_name":"Censoring (clinical trials)","score":0.7757675647735596},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6810250878334045},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.6476447582244873},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6255035400390625},{"id":"https://openalex.org/keywords/random-effects-model","display_name":"Random effects model","score":0.5494444370269775},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.5162386894226074},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.47571927309036255},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.45431941747665405},{"id":"https://openalex.org/keywords/hazard-ratio","display_name":"Hazard ratio","score":0.44918733835220337},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4366152286529541},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.398486465215683},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36849069595336914},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17553886771202087},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"Meta-analysis","score":0.08899322152137756}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.7757675647735596},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6810250878334045},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.6476447582244873},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6255035400390625},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.5494444370269775},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5162386894226074},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.47571927309036255},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.45431941747665405},{"id":"https://openalex.org/C207103383","wikidata":"https://www.wikidata.org/wiki/Q3930246","display_name":"Hazard ratio","level":3,"score":0.44918733835220337},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4366152286529541},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.398486465215683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36849069595336914},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17553886771202087},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.08899322152137756},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2020.1770284","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1770284","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":[{"score":0.7799999713897705,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[{"id":"https://openalex.org/G5714290433","display_name":null,"funder_award_id":"MOST 104-2118-M-126-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W283310529","https://openalex.org/W1912935324","https://openalex.org/W1974345349","https://openalex.org/W1976566530","https://openalex.org/W1977519343","https://openalex.org/W1981076387","https://openalex.org/W1983290178","https://openalex.org/W1985233017","https://openalex.org/W1985671636","https://openalex.org/W1986687652","https://openalex.org/W1999975842","https://openalex.org/W2001496329","https://openalex.org/W2029615513","https://openalex.org/W2034945547","https://openalex.org/W2045696418","https://openalex.org/W2049633694","https://openalex.org/W2050762021","https://openalex.org/W2063495279","https://openalex.org/W2080174667","https://openalex.org/W2090342357","https://openalex.org/W2101491117","https://openalex.org/W2105575181","https://openalex.org/W2135104889","https://openalex.org/W2142085546","https://openalex.org/W2142635246","https://openalex.org/W2145221418","https://openalex.org/W2149860264","https://openalex.org/W2150634422","https://openalex.org/W2163567340","https://openalex.org/W2167834874","https://openalex.org/W2883221993","https://openalex.org/W2977606681","https://openalex.org/W4243155135"],"related_works":["https://openalex.org/W2112143119","https://openalex.org/W2792777176","https://openalex.org/W2064181951","https://openalex.org/W2109650667","https://openalex.org/W2026784993","https://openalex.org/W2356632946","https://openalex.org/W2083447308","https://openalex.org/W3142993875","https://openalex.org/W4378619514","https://openalex.org/W3015225818"],"abstract_inverted_index":{"Methods":[0],"for":[1,50,66,96],"joint":[2,48,123],"analysis":[3],"of":[4,26,79,157],"longitudinal":[5,52,71,98],"measures":[6,72],"and":[7,21,54,73,89,100,116,136],"right-censored":[8],"survival":[9],"outcomes":[10,53],"have":[11],"received":[12],"much":[13],"attention":[14],"in":[15,19,36,121],"the":[16,24,32,37,51,55,67,70,77,90,97,101,111,122,132,137,144,155,158,165,174,179],"literature.":[17],"However,":[18],"clinic":[20],"epidemiology":[22],"research,":[23],"event":[25],"interest":[27],"is":[28,59,94,128],"only":[29],"examined":[30],"at":[31],"inspection":[33],"time,":[34,57,103],"resulting":[35],"interval-censored":[38],"failure":[39,56,74,102],"time":[40,75],"data.":[41],"In":[42],"this":[43],"article,":[44],"we":[45,172],"construct":[46],"a":[47],"model":[49,85,93],"which":[58],"subject":[60],"to":[61,109,130,153],"interval":[62],"censoring.":[63],"We":[64],"account":[65],"dependence":[68],"between":[69],"through":[76],"incorporation":[78],"random":[80,87],"effects.":[81],"The":[82,125],"semiparametric":[83],"regression":[84],"with":[86],"effects":[88],"Cox":[91],"frailty":[92],"used":[95,129],"outcome":[99],"respectively.":[104],"Spline":[105],"functions":[106],"are":[107,141,151],"applied":[108],"approximate":[110],"infinite-dimensional":[112],"baseline":[113,117],"mean":[114],"function":[115,120],"cumulative":[118],"hazard":[119],"model.":[124],"EM":[126],"algorithm":[127],"find":[131],"maximum":[133],"likelihood":[134],"estimators":[135],"estimated":[138],"standard":[139],"deviations":[140],"computed":[142],"from":[143],"log":[145],"observed-data":[146],"likelihood.":[147],"Extensive":[148],"simulation":[149],"studies":[150],"conducted":[152],"assess":[154],"performance":[156],"proposed":[159,166,175],"estimators.":[160],"Simulation":[161],"results":[162],"show":[163],"that":[164],"method":[167],"performs":[168],"quite":[169],"well.":[170],"Finally,":[171],"illustrate":[173],"approach":[176],"by":[177],"analyzing":[178],"chronic":[180],"kidney":[181],"disease.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
