{"id":"https://openalex.org/W3134084305","doi":"https://doi.org/10.1201/9780429032301-4","title":"Cure Models for Multivariate Survival Data and Competing Risks","display_name":"Cure Models for Multivariate Survival Data and Competing Risks","publication_year":2021,"publication_date":"2021-03-04","ids":{"openalex":"https://openalex.org/W3134084305","doi":"https://doi.org/10.1201/9780429032301-4","mag":"3134084305"},"language":"en","primary_location":{"id":"doi:10.1201/9780429032301-4","doi":"https://doi.org/10.1201/9780429032301-4","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9780429032301-4","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":"Cure Models","raw_type":"book-chapter"},"volume":{"id":"https://openalex.org/W3135680275","display_name":"Cure Models"},"type":"book-chapter","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/A5073771690","display_name":"Yingwei Peng","orcid":"https://orcid.org/0000-0001-7391-9788","observed_orcids":["https://orcid.org/0000-0001-7391-9788"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yingwei Peng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5032118390","display_name":"Binbing Yu","orcid":"https://orcid.org/0000-0003-3647-5852","observed_orcids":["https://orcid.org/0000-0003-3647-5852"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Binbing Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04155194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.8784000277519226,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.8784000277519226,"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/T10136","display_name":"Statistical Methods and Inference","score":0.052299998700618744,"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/T13500","display_name":"Probability and Statistical Research","score":0.030799999833106995,"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/cure-models","display_name":"cure models","score":0.8130000233650208},{"id":"https://openalex.org/keywords/multivariate-survival-data","display_name":"multivariate survival data","score":0.9649999737739563},{"id":"https://openalex.org/keywords/competing-risks","display_name":"competing risks","score":0.9860000014305115},{"id":"https://openalex.org/keywords/recurrent-events","display_name":"recurrent events","score":0.7419999837875366},{"id":"https://openalex.org/keywords/cure-fraction","display_name":"cure fraction","score":0.8040000200271606},{"id":"https://openalex.org/keywords/linear-transformation-model","display_name":"linear transformation model","score":0.6919999718666077},{"id":"https://openalex.org/keywords/latency-model","display_name":"latency model","score":0.7620000243186951},{"id":"https://openalex.org/keywords/shared-random-effects","display_name":"shared random effects","score":0.9190000295639038}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.8587933778762817},{"id":"https://openalex.org/C38180746","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate analysis","level":2,"score":0.5701871514320374},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40793949365615845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3461075723171234},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3309858441352844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2390560507774353}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1201/9780429032301-4","doi":"https://doi.org/10.1201/9780429032301-4","is_oa":false,"landing_page_url":"https://doi.org/10.1201/9780429032301-4","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":"Cure Models","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.504800021648407,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1567079089","https://openalex.org/W3135283893","https://openalex.org/W7141594849","https://openalex.org/W2004939947","https://openalex.org/W2078247886","https://openalex.org/W2996034879","https://openalex.org/W2132291400","https://openalex.org/W2108715089","https://openalex.org/W7034220682","https://openalex.org/W2522339821"],"abstract_inverted_index":{"Multivariate":[0],"survival":[1,21,29,38],"data":[2,39,48,71],"are":[3],"abundant":[4],"in":[5,85],"sociological":[6],"studies":[7],"and":[8,19,36],"biomedical":[9],"research.":[10],"This":[11],"chapter":[12,54],"shows":[13],"how":[14],"the":[15,61,66,82,86,98],"random-effects":[16,94],"frailty":[17],"models":[18,22,68,95],"marginal":[20,87,92],"can":[23,77],"be":[24,79],"adapted":[25],"to":[26,69],"accommodate":[27],"correlated":[28],"times":[30],"with":[31,40,49,57],"a":[32,41,50,58],"possible":[33],"cure":[34,42,51,67,89],"fraction":[35],"recurrent":[37],"fraction.":[43,52],"It":[44],"discusses":[45],"competing":[46],"risks":[47],"The":[53],"is":[55],"concluded":[56],"demonstration":[59],"of":[60,63,65],"applications":[62],"some":[64],"real":[70],"set.":[72],"A":[73],"linear":[74],"transformation":[75],"model":[76,84],"also":[78],"considered":[80],"as":[81],"latency":[83],"mixture":[88],"model.":[90],"Unlike":[91],"models,":[93],"account":[96],"for":[97],"correlation":[99],"within":[100],"clusters":[101],"explicitly":[102],"by":[103],"using":[104],"shared":[105],"random":[106],"effects.":[107]},"counts_by_year":[],"updated_date":"2026-10-10T09:11:00.788812","created_date":"2021-03-15T00:00:00"}
