{"id":"https://openalex.org/W7224124381","doi":"https://doi.org/10.1002/sim.70795","title":"Online Updating Mixture Cure Models for Large\u2010Scale Survival Data Streams","display_name":"Online Updating Mixture Cure Models for Large\u2010Scale Survival Data Streams","publication_year":2026,"publication_date":"2026-10-28","ids":{"openalex":"https://openalex.org/W7224124381","doi":"https://doi.org/10.1002/sim.70795","pmid":"https://pubmed.ncbi.nlm.nih.gov/42947606"},"language":"en","primary_location":{"id":"doi:10.1002/sim.70795","doi":"https://doi.org/10.1002/sim.70795","is_oa":true,"landing_page_url":"https://doi.org/10.1002/sim.70795","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.70795","source":{"id":"https://openalex.org/S55189604","display_name":"Statistics in Medicine","issn_l":"0277-6715","issn":["0277-6715","1097-0258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics in Medicine","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.70795","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101866669","display_name":"Li Jin","orcid":"https://orcid.org/0000-0003-4122-4943","observed_orcids":["https://orcid.org/0000-0003-4122-4943"]},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Jin","raw_affiliation_strings":["Department of Statistics and Data Science, School of Management Fudan University  Shanghai P. R. China","School of Mathematical Sciences Capital Normal University  Beijing P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-4122-4943","affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, School of Management Fudan University  Shanghai P. R. China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"School of Mathematical Sciences Capital Normal University  Beijing P. R. China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011266256","display_name":"Tao Hu","orcid":"https://orcid.org/0000-0003-4463-004X","observed_orcids":["https://orcid.org/0000-0003-4463-004X"]},"institutions":[{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Hu","raw_affiliation_strings":["School of Mathematical Sciences Capital Normal University  Beijing P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-4463-004X","affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences Capital Normal University  Beijing P. R. China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069802564","display_name":"Liming Xiang","orcid":"https://orcid.org/0000-0003-0698-5173","observed_orcids":["https://orcid.org/0000-0003-0698-5173"]},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Liming Xiang","raw_affiliation_strings":["School of Physical and Mathematical Sciences Nanyang Technological University  Singapore Singapore"],"raw_orcid":"https://orcid.org/0000-0003-0698-5173","affiliations":[{"raw_affiliation_string":"School of Physical and Mathematical Sciences Nanyang Technological University  Singapore Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069802564"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":{"value":5450,"currency":"USD","value_usd":5450},"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87613045,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"45","issue":"25-27","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9365000128746033,"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":0.9365000128746033,"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":0.042500000447034836,"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":0.006099999882280827,"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/mixture-cure-models","display_name":"mixture cure models","score":0.9359999895095825},{"id":"https://openalex.org/keywords/online-updating","display_name":"online updating","score":0.8230000138282776},{"id":"https://openalex.org/keywords/summary-statistics","display_name":"summary statistics","score":0.7099999785423279},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9860000014305115},{"id":"https://openalex.org/keywords/asymptotic-properties","display_name":"asymptotic properties","score":0.9620000123977661},{"id":"https://openalex.org/keywords/breast-cancer-survival","display_name":"breast cancer survival","score":0.7879999876022339},{"id":"https://openalex.org/keywords/computational-scalability","display_name":"computational scalability","score":0.6140000224113464}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7800999879837036},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5903000235557556},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5659999847412109},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5644000172615051},{"id":"https://openalex.org/C89198739","wikidata":"https://www.wikidata.org/wiki/Q3079880","display_name":"Data stream mining","level":2,"score":0.4950999915599823},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.41019999980926514},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.38019999861717224},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.3582000136375427},{"id":"https://openalex.org/C2778484313","wikidata":"https://www.wikidata.org/wiki/Q1172540","display_name":"Data stream","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C2994123057","wikidata":"https://www.wikidata.org/wiki/Q1595418","display_name":"Cure rate","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3366999924182892},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.3131999969482422},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.30410000681877136},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.2818000018596649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27090001106262207},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.263700008392334}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001943","descriptor_name":"Breast Neoplasms","qualifier_ui":"Q000401","qualifier_name":"mortality","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018426","descriptor_name":"SEER Program","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1002/sim.70795","doi":"https://doi.org/10.1002/sim.70795","is_oa":true,"landing_page_url":"https://doi.org/10.1002/sim.70795","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.70795","source":{"id":"https://openalex.org/S55189604","display_name":"Statistics in Medicine","issn_l":"0277-6715","issn":["0277-6715","1097-0258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics in Medicine","raw_type":"journal-article"},{"id":"pmid:42947606","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/42947606","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics in medicine","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1002/sim.70795","doi":"https://doi.org/10.1002/sim.70795","is_oa":true,"landing_page_url":"https://doi.org/10.1002/sim.70795","pdf_url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/sim.70795","source":{"id":"https://openalex.org/S55189604","display_name":"Statistics in Medicine","issn_l":"0277-6715","issn":["0277-6715","1097-0258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G5397882867","display_name":null,"funder_award_id":"JWZQ20240101027","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G9000362858","display_name":null,"funder_award_id":"12671349","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7224124381.pdf","grobid_xml":"https://content.openalex.org/works/W7224124381.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1711352584","https://openalex.org/W1944816357","https://openalex.org/W1977519343","https://openalex.org/W1999028553","https://openalex.org/W2012766753","https://openalex.org/W2042678655","https://openalex.org/W2068911395","https://openalex.org/W2074682976","https://openalex.org/W2082174016","https://openalex.org/W2092660489","https://openalex.org/W2129925362","https://openalex.org/W2137408364","https://openalex.org/W2155628440","https://openalex.org/W2167834874","https://openalex.org/W2170987805","https://openalex.org/W2226843294","https://openalex.org/W2264742324","https://openalex.org/W2618631233","https://openalex.org/W2969548036","https://openalex.org/W2998716009","https://openalex.org/W3122099541","https://openalex.org/W3147894994","https://openalex.org/W4389085095","https://openalex.org/W4391109100","https://openalex.org/W4404349240","https://openalex.org/W4404656111","https://openalex.org/W4407423695","https://openalex.org/W4413105614","https://openalex.org/W4415164218","https://openalex.org/W7125414875"],"related_works":["https://openalex.org/W7214449093","https://openalex.org/W4407423695","https://openalex.org/W4409708202","https://openalex.org/W3048710589","https://openalex.org/W3171211510","https://openalex.org/W4394959783","https://openalex.org/W2050427936","https://openalex.org/W4404656111","https://openalex.org/W2576650027","https://openalex.org/W2033171630"],"abstract_inverted_index":{"The":[0,100],"growing":[1],"availability":[2],"of":[3,18,103],"large-scale":[4],"survival":[5],"data":[6,73,117],"streams":[7],"present":[8],"significant":[9],"challenges":[10],"for":[11,71],"statistical":[12],"inference":[13],"particularly":[14],"in":[15],"the":[16,59,69,104,119,127],"presence":[17],"a":[19,45,91],"cure":[20,39],"fraction,":[21],"which":[22],"complicates":[23],"estimation":[24,48,86,129],"and":[25,66,87,111,122,133],"increases":[26],"computational":[27,98,134],"burden.":[28],"To":[29],"address":[30],"these":[31],"challenges,":[32],"we":[33],"propose":[34],"an":[35,112],"online":[36],"updating":[37],"mixture":[38],"model":[40,60],"framework.":[41],"Our":[42],"approach":[43],"employs":[44],"batchwise":[46],"renewable":[47,76],"procedure":[49],"that":[50],"aggregates":[51],"historical":[52,63],"information":[53],"into":[54],"summary":[55],"statistics":[56],"to":[57,82,96,114],"update":[58],"without":[61],"retaining":[62],"individual-level":[64],"data,":[65],"thus":[67],"eliminating":[68],"need":[70],"full":[72],"storage.":[74],"A":[75],"penalized":[77],"expectation-maximization":[78],"algorithm":[79],"is":[80,94],"developed":[81],"enable":[83],"simultaneous":[84],"parameter":[85],"variable":[88],"selection.":[89],"Furthermore,":[90],"tuning-free":[92],"strategy":[93],"incorporated":[95],"enhance":[97],"efficiency.":[99],"asymptotic":[101],"properties":[102],"proposed":[105],"method":[106],"are":[107],"established.":[108],"Simulation":[109],"studies":[110],"application":[113],"breast":[115],"cancer":[116],"from":[118],"Surveillance,":[120],"Epidemiology,":[121],"End":[123],"Results":[124],"database":[125],"demonstrate":[126],"method's":[128],"accuracy,":[130],"predictive":[131],"performance,":[132],"scalability.":[135]},"counts_by_year":[],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2026-10-29T00:00:00"}