{"id":"https://openalex.org/W2407484981","doi":"https://doi.org/10.1080/03610918.2015.1102281","title":"A semiparametric regression cure model for interval-censored and left-truncated data","display_name":"A semiparametric regression cure model for interval-censored and left-truncated data","publication_year":2015,"publication_date":"2015-10-30","ids":{"openalex":"https://openalex.org/W2407484981","doi":"https://doi.org/10.1080/03610918.2015.1102281","mag":"2407484981"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1102281","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1102281","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/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":true,"raw_author_name":"Pao-Sheng Shen","raw_affiliation_strings":["Department of Statistics, Tunghai University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Tunghai University, Taichung, Taiwan","institution_ids":["https://openalex.org/I169090423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5058562614"],"corresponding_institution_ids":["https://openalex.org/I169090423"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17222562,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and 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"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and 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/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.9613999724388123,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9606000185012817,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.8349367380142212},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6256306767463684},{"id":"https://openalex.org/keywords/semiparametric-regression","display_name":"Semiparametric regression","score":0.6211422085762024},{"id":"https://openalex.org/keywords/semiparametric-model","display_name":"Semiparametric model","score":0.5704797506332397},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5629802942276001},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.5411242246627808},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4735909104347229},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.458809494972229},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.45603784918785095},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3877784013748169},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3803866505622864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3782372772693634}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.8349367380142212},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6256306767463684},{"id":"https://openalex.org/C19539793","wikidata":"https://www.wikidata.org/wiki/Q7449609","display_name":"Semiparametric regression","level":3,"score":0.6211422085762024},{"id":"https://openalex.org/C78297888","wikidata":"https://www.wikidata.org/wiki/Q7449607","display_name":"Semiparametric model","level":3,"score":0.5704797506332397},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5629802942276001},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.5411242246627808},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4735909104347229},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.458809494972229},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.45603784918785095},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3877784013748169},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3803866505622864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3782372772693634},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1102281","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1102281","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.44999998807907104},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W138845272","https://openalex.org/W573849129","https://openalex.org/W1527691279","https://openalex.org/W1969094789","https://openalex.org/W1978958828","https://openalex.org/W1984130041","https://openalex.org/W1987182294","https://openalex.org/W1995336896","https://openalex.org/W2005021081","https://openalex.org/W2005810616","https://openalex.org/W2013654057","https://openalex.org/W2017906473","https://openalex.org/W2030451711","https://openalex.org/W2036925391","https://openalex.org/W2037629605","https://openalex.org/W2051305724","https://openalex.org/W2052922688","https://openalex.org/W2061893665","https://openalex.org/W2072672027","https://openalex.org/W2080373387","https://openalex.org/W2084696120","https://openalex.org/W2085874309","https://openalex.org/W2092338474","https://openalex.org/W2103527136","https://openalex.org/W2105687366","https://openalex.org/W2106053216","https://openalex.org/W2136546348","https://openalex.org/W2147700244","https://openalex.org/W2160842550","https://openalex.org/W2164414835","https://openalex.org/W2166379450","https://openalex.org/W2170813439","https://openalex.org/W2312300231","https://openalex.org/W2325018753","https://openalex.org/W4230667829","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2967621839","https://openalex.org/W3123217622","https://openalex.org/W3151010055","https://openalex.org/W1532780914","https://openalex.org/W3122686941","https://openalex.org/W1969957394","https://openalex.org/W2393877243","https://openalex.org/W2090382595","https://openalex.org/W2046181616","https://openalex.org/W2334294143"],"abstract_inverted_index":{"Medical":[0],"advancements":[1],"have":[2],"made":[3],"it":[4],"possible":[5],"for":[6,42,58],"patients":[7],"to":[8,26,71],"be":[9,24],"cured":[10],"of":[11,14,46,75],"certain":[12],"types":[13],"diseases.":[15],"In":[16,32],"follow-up":[17],"studies,":[18],"the":[19,43,59,73,76],"disease":[20],"event":[21],"time":[22],"can":[23],"subject":[25],"left":[27],"truncation":[28],"and":[29,48],"interval":[30],"censoring.":[31],"this":[33],"article,":[34],"we":[35],"propose":[36],"a":[37],"semiparametric":[38,54],"nonmixture":[39,60],"cure":[40,61],"model":[41,62],"regression":[44],"analysis":[45],"left-truncated":[47],"interval-censored":[49],"(LTIC)":[50],"data.":[51,65],"We":[52],"develop":[53],"maximum":[55],"likelihood":[56],"estimation":[57],"with":[63],"LTIC":[64],"A":[66],"simulation":[67],"study":[68],"is":[69],"conducted":[70],"investigate":[72],"performance":[74],"proposed":[77],"estimators.":[78]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}