{"id":"https://openalex.org/W2520340760","doi":"https://doi.org/10.1080/03610918.2016.1217016","title":"Semiparametric estimation method for accelerated failure time model with dependent censoring","display_name":"Semiparametric estimation method for accelerated failure time model with dependent censoring","publication_year":2016,"publication_date":"2016-09-16","ids":{"openalex":"https://openalex.org/W2520340760","doi":"https://doi.org/10.1080/03610918.2016.1217016","mag":"2520340760"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2016.1217016","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2016.1217016","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/A5100764222","display_name":"Wenli Deng","orcid":"https://orcid.org/0000-0002-4718-3954"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenli Deng","raw_affiliation_strings":["Department of Mathematics and Information Science, Jiangxi Normal University, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Information Science, Jiangxi Normal University, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024205099","display_name":"Fei Ouyang","orcid":"https://orcid.org/0000-0002-8958-1379"},"institutions":[{"id":"https://openalex.org/I53592917","display_name":"Jiangxi Normal University","ror":"https://ror.org/05nkgk822","country_code":"CN","type":"education","lineage":["https://openalex.org/I53592917"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Ouyang","raw_affiliation_strings":["Department of Mathematics and Information Science, Jiangxi Normal University, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Information Science, Jiangxi Normal University, China","institution_ids":["https://openalex.org/I53592917"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100417649","display_name":"Jiajia Zhang","orcid":"https://orcid.org/0000-0003-4566-0822"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiajia Zhang","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA"],"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, USA","institution_ids":["https://openalex.org/I155781252"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100764222"],"corresponding_institution_ids":["https://openalex.org/I53592917"],"apc_list":null,"apc_paid":null,"fwci":0.3548,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68878357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"46","issue":"9","first_page":"6947","last_page":"6958"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9951000213623047,"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":0.994700014591217,"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":0.9218212366104126},{"id":"https://openalex.org/keywords/accelerated-failure-time-model","display_name":"Accelerated failure time model","score":0.7251689434051514},{"id":"https://openalex.org/keywords/copula","display_name":"Copula (linguistics)","score":0.6704312562942505},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5242324471473694},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4613073170185089},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4386959671974182},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.4021669328212738},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30552005767822266}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.9218212366104126},{"id":"https://openalex.org/C33114746","wikidata":"https://www.wikidata.org/wiki/Q4672282","display_name":"Accelerated failure time model","level":3,"score":0.7251689434051514},{"id":"https://openalex.org/C17618745","wikidata":"https://www.wikidata.org/wiki/Q207509","display_name":"Copula (linguistics)","level":2,"score":0.6704312562942505},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5242324471473694},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4613073170185089},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4386959671974182},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.4021669328212738},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30552005767822266}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2016.1217016","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2016.1217016","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":0.6100000143051147,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1964119288","https://openalex.org/W1967858306","https://openalex.org/W1978358551","https://openalex.org/W2010631330","https://openalex.org/W2039944302","https://openalex.org/W2040854684","https://openalex.org/W2054957279","https://openalex.org/W2059331042","https://openalex.org/W2068173195","https://openalex.org/W2074291883","https://openalex.org/W2107368116","https://openalex.org/W2114229287","https://openalex.org/W2119436275","https://openalex.org/W2120210546","https://openalex.org/W2128145681","https://openalex.org/W2152381850","https://openalex.org/W2158114082","https://openalex.org/W2351767899","https://openalex.org/W2407430309","https://openalex.org/W2796700885","https://openalex.org/W2971032797","https://openalex.org/W3124177394"],"related_works":["https://openalex.org/W2966361766","https://openalex.org/W2100281361","https://openalex.org/W2026784993","https://openalex.org/W2900876564","https://openalex.org/W2064181951","https://openalex.org/W2097380171","https://openalex.org/W3122109928","https://openalex.org/W2749556736","https://openalex.org/W4313645246","https://openalex.org/W2564068601"],"abstract_inverted_index":{"Independent":[0],"censoring":[1,14,25],"is":[2,15,44],"commonly":[3],"assumed":[4],"in":[5],"survival":[6],"analysis.":[7],"However,":[8],"it":[9],"may":[10],"be":[11],"questionable":[12],"when":[13,82],"related":[16],"to":[17,46,61],"event":[18,23],"time.":[19],"We":[20,89],"model":[21,34],"the":[22,48,54,57,62,71,74,83],"and":[24,33],"time":[26,31],"marginally":[27],"through":[28],"accelerated":[29],"failure":[30],"models,":[32],"their":[35],"association":[36],"by":[37,93],"a":[38],"known":[39],"copula.":[40],"An":[41],"iteration":[42],"algorithm":[43],"proposed":[45,58,75],"estimate":[47],"regression":[49],"parameters.":[50],"Simulation":[51],"results":[52],"show":[53],"improvement":[55],"of":[56,85],"method":[59,64,76],"compared":[60],"naive":[63],"under":[65],"independent":[66],"censoring.":[67],"Sensitivity":[68],"analysis":[69],"gives":[70],"evidences":[72],"that":[73],"can":[77],"obtain":[78],"reasonable":[79],"estimates":[80],"even":[81],"forms":[84],"copula":[86],"are":[87],"misspecified.":[88],"illustrate":[90],"its":[91],"application":[92],"analyzing":[94],"prostate":[95],"cancer":[96],"data.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
