{"id":"https://openalex.org/W3041583971","doi":"https://doi.org/10.1080/03610918.2020.1790600","title":"A gamma-frailty model for interval-censored data with dependent examination times: a computationally efficient approach","display_name":"A gamma-frailty model for interval-censored data with dependent examination times: a computationally efficient approach","publication_year":2020,"publication_date":"2020-07-09","ids":{"openalex":"https://openalex.org/W3041583971","doi":"https://doi.org/10.1080/03610918.2020.1790600","mag":"3041583971"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2020.1790600","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1790600","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/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, National Yang-Ming University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Public Health, National Yang-Ming University, Taipei, Taiwan","institution_ids":["https://openalex.org/I148366613","https://openalex.org/I96323854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058562614","display_name":"Pao\u2010Sheng Shen","orcid":"https://orcid.org/0000-0001-6050-8648"},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pao-sheng Shen","raw_affiliation_strings":["Department of Statistics, Tunghai University, Taichung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Tunghai University, Taichung, Taiwan","institution_ids":["https://openalex.org/I169090423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110697671","display_name":"Ting-Hsuan Lee","orcid":null},"institutions":[{"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"]},{"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":"Ting-Hsuan Lee","raw_affiliation_strings":["Institute of Public Health, National Yang-Ming University, Taipei, Taiwan"],"affiliations":[{"raw_affiliation_string":"Institute of Public Health, 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":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08609165,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"51","issue":"10","first_page":"6071","last_page":"6082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and 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/T10136","display_name":"Statistical Methods and 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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9847999811172485,"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/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.8128757476806641},{"id":"https://openalex.org/keywords/unobservable","display_name":"Unobservable","score":0.7522650361061096},{"id":"https://openalex.org/keywords/accelerated-failure-time-model","display_name":"Accelerated failure time model","score":0.6721299886703491},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.659368097782135},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.5930519104003906},{"id":"https://openalex.org/keywords/counting-process","display_name":"Counting process","score":0.5734838843345642},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.5504155158996582},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.546916127204895},{"id":"https://openalex.org/keywords/hazard-ratio","display_name":"Hazard ratio","score":0.5252223014831543},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5158526301383972},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4875337779521942},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.46096938848495483},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.4453483819961548},{"id":"https://openalex.org/keywords/gamma-process","display_name":"Gamma process","score":0.43891483545303345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41914451122283936},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4181826412677765},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4156125485897064},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3752460181713104},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.3540377616882324}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.8128757476806641},{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.7522650361061096},{"id":"https://openalex.org/C33114746","wikidata":"https://www.wikidata.org/wiki/Q4672282","display_name":"Accelerated failure time model","level":3,"score":0.6721299886703491},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.659368097782135},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.5930519104003906},{"id":"https://openalex.org/C2781104640","wikidata":"https://www.wikidata.org/wiki/Q11827313","display_name":"Counting process","level":2,"score":0.5734838843345642},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.5504155158996582},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.546916127204895},{"id":"https://openalex.org/C207103383","wikidata":"https://www.wikidata.org/wiki/Q3930246","display_name":"Hazard ratio","level":3,"score":0.5252223014831543},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5158526301383972},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4875337779521942},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.46096938848495483},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.4453483819961548},{"id":"https://openalex.org/C79495835","wikidata":"https://www.wikidata.org/wiki/Q5520315","display_name":"Gamma process","level":2,"score":0.43891483545303345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41914451122283936},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4181826412677765},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4156125485897064},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3752460181713104},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.3540377616882324},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2020.1790600","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1790600","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":0.41999998688697815,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"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":21,"referenced_works":["https://openalex.org/W107965176","https://openalex.org/W573849129","https://openalex.org/W1550022419","https://openalex.org/W1964136476","https://openalex.org/W1964313277","https://openalex.org/W1993542897","https://openalex.org/W2012500654","https://openalex.org/W2018670982","https://openalex.org/W2029761439","https://openalex.org/W2080373387","https://openalex.org/W2081686430","https://openalex.org/W2096574049","https://openalex.org/W2106053216","https://openalex.org/W2153135454","https://openalex.org/W2158436837","https://openalex.org/W2259439942","https://openalex.org/W2330574343","https://openalex.org/W2342834172","https://openalex.org/W2623593966","https://openalex.org/W4230667829","https://openalex.org/W4232029634"],"related_works":["https://openalex.org/W4241791143","https://openalex.org/W2400325187","https://openalex.org/W2778586139","https://openalex.org/W2901626990","https://openalex.org/W2990428857","https://openalex.org/W4390798516","https://openalex.org/W2380754093","https://openalex.org/W1930527620","https://openalex.org/W1973887383","https://openalex.org/W3041583971"],"abstract_inverted_index":{"Interval-censored":[0],"survival":[1],"data":[2,40,173],"arise":[3],"naturally":[4],"in":[5,13,67],"many":[6],"fields":[7],"such":[8],"as":[9],"medical":[10],"follow-up":[11],"studies,":[12],"which":[14],"the":[15,43,47,71,81,109,113,124,139,144,159,178],"event":[16],"or":[17,52,77,148],"failure":[18,38,48,84,110,130,152],"is":[19,64,120,181,195],"not":[20,65],"observed":[21],"exactly":[22],"but":[23],"only":[24],"known":[25],"to":[26,86,122,190],"occur":[27],"within":[28],"a":[29,171,191],"time":[30,39,49,111,131,153],"interval.":[31],"Most":[32],"existing":[33],"approaches":[34],"for":[35,93],"analyzing":[36],"interval-censored":[37,102],"assume":[41],"that":[42],"examination":[44],"times":[45],"and":[46,112,132,154,164,187],"are":[50],"independent":[51,54],"conditionally":[53],"given":[55],"covariates.":[56,95],"While":[57],"this":[58,97],"assumption":[59],"offers":[60],"considerable":[61],"simplification,":[62],"it":[63],"plausible":[66],"some":[68],"situations,":[69],"e.g.,":[70],"visiting":[72,115,136,155],"rate":[73],"can":[74],"be":[75],"positively":[76],"negatively":[78],"correlated":[79],"with":[80],"risk":[82],"of":[83,126,129,135,177],"due":[85],"unobservable":[87],"health":[88],"status":[89],"even":[90],"after":[91],"adjusting":[92],"observable":[94],"In":[96],"article,":[98],"we":[99],"consider":[100],"dependent":[101],"data,":[103],"where":[104],"there":[105],"exists":[106],"dependence":[107,125],"between":[108,151],"entire":[114],"process.":[116,137,156],"A":[117],"shared":[118],"frailty":[119],"used":[121],"characterize":[123],"hazard":[127],"function":[128,134],"intensity":[133],"Moreover,":[138],"joint":[140],"model":[141],"could":[142],"describe":[143],"possible":[145],"none,":[146],"positive":[147],"negative":[149],"association":[150],"We":[157],"propose":[158],"semiparametric":[160],"maximum":[161],"likelihood":[162],"estimators":[163],"develop":[165],"an":[166,188],"EM":[167],"algorithm":[168],"based":[169],"on":[170],"Poisson":[172],"augmentation.":[174],"The":[175],"performance":[176],"proposed":[179],"method":[180],"examined":[182],"through":[183],"extensive":[184],"simulation":[185],"studies":[186],"application":[189],"bladder":[192],"cancer":[193],"dataset":[194],"presented.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
