{"id":"https://openalex.org/W4206547499","doi":"https://doi.org/10.1145/3503047.3503050","title":"Comparison of the proportional hazard model and the accelerated failure model in the mixed cure model","display_name":"Comparison of the proportional hazard model and the accelerated failure model in the mixed cure model","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W4206547499","doi":"https://doi.org/10.1145/3503047.3503050"},"language":"en","primary_location":{"id":"doi:10.1145/3503047.3503050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","raw_type":"proceedings-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/A5101564493","display_name":"Yuting Zhou","orcid":"https://orcid.org/0009-0000-8981-6724"},"institutions":[{"id":"https://openalex.org/I2801345734","display_name":"China Academy of Engineering Physics","ror":"https://ror.org/039vqpp67","country_code":"CN","type":"facility","lineage":["https://openalex.org/I2801345734"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuting Zhou","raw_affiliation_strings":["China Academy of Engineering Physics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Academy of Engineering Physics, China","institution_ids":["https://openalex.org/I2801345734"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061551123","display_name":"Xuemei Yang","orcid":"https://orcid.org/0000-0003-4005-978X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xuemei Yang","raw_affiliation_strings":["Shanghai Zhuguangya Strategic Research Institute, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Zhuguangya Strategic Research Institute, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100364281","display_name":"Xiaoying Wang","orcid":"https://orcid.org/0000-0001-5989-1539"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoying Wang","raw_affiliation_strings":["North China Electric Power University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101678893","display_name":"Junping Yin","orcid":"https://orcid.org/0000-0002-9270-2071"},"institutions":[{"id":"https://openalex.org/I4210145278","display_name":"Institute of Applied Physics and Computational Mathematics","ror":"https://ror.org/03sxpbt26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210145278"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Yin","raw_affiliation_strings":["Beijing Institute of Applied Physics and Computational Mathematics, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Applied Physics and Computational Mathematics, China","institution_ids":["https://openalex.org/I4210145278"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"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":0.28131755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9704999923706055,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9667999744415283,"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"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9110999703407288,"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/proportional-hazards-model","display_name":"Proportional hazards model","score":0.7742347121238708},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5630572438240051},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.5014827251434326},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.490427702665329},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.47279781103134155},{"id":"https://openalex.org/keywords/accelerated-failure-time-model","display_name":"Accelerated failure time model","score":0.44830620288848877},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3904549777507782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3723313808441162},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35438138246536255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17686882615089417}],"concepts":[{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.7742347121238708},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5630572438240051},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.5014827251434326},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.490427702665329},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.47279781103134155},{"id":"https://openalex.org/C33114746","wikidata":"https://www.wikidata.org/wiki/Q4672282","display_name":"Accelerated failure time model","level":3,"score":0.44830620288848877},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3904549777507782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3723313808441162},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35438138246536255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17686882615089417},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503047.3503050","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503047.3503050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Advanced Information Science and System","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1972987731","https://openalex.org/W2033432093","https://openalex.org/W2039672920","https://openalex.org/W2061893665","https://openalex.org/W2115230475","https://openalex.org/W2128145681","https://openalex.org/W2166379450","https://openalex.org/W2905118658"],"related_works":["https://openalex.org/W2099620796","https://openalex.org/W1603894845","https://openalex.org/W2104184505","https://openalex.org/W3200290661","https://openalex.org/W2737996489","https://openalex.org/W2217049562","https://openalex.org/W153028072","https://openalex.org/W2954143192","https://openalex.org/W1569221126","https://openalex.org/W2345624495"],"abstract_inverted_index":{"Traditional":[0],"survival":[1,221,246,279,295],"analysis":[2],"models":[3],"such":[4,26],"as":[5,27,202],"the":[6,10,36,43,90,95,104,115,118,124,154,158,162,183,186,199,203,206,213,220,225,230,245,250,253,259,283,299,302],"Cox":[7,92],"model":[8,14,93,97,113,125,135,140,160,235,264,275,291],"and":[9,40,42,81,94,102,130,136,161,176,193,209],"accelerated":[11,137,142],"failure":[12,138,143],"time":[13],"(AFT)":[15],"assume":[16],"that":[17,64,75,174,240,252,268,301],"all":[18],"individuals":[19,55,77],"will":[20,57,67,98],"eventually":[21],"experience":[22,59],"specified":[23],"endpoint":[24],"events,":[25],"recurrence":[28],"or":[29,70],"death.":[30],"However,":[31],"in":[32,48],"recent":[33],"years,":[34],"with":[35,141],"Advancement":[37],"of":[38,45,126,157,190,212,227,233,241,262,269,285],"science":[39],"technology":[41],"improvement":[44],"medical":[46],"standards,":[47],"many":[49],"clinical":[50],"trials,":[51],"there":[52],"are":[53,216],"some":[54],"who":[56],"not":[58,68,178,257,306],"terminal":[60],"events":[61],"after":[62],"treatment,":[63],"is,":[65],"they":[66],"relapse":[69],"die.":[71],"The":[72,273,289],"researchers":[73],"believe":[74],"these":[76],"have":[78,122],"been":[79],"cured":[80],"call":[82],"them":[83],"long-term":[84],"survivors.":[85],"In":[86,117,147],"this":[87,148],"case,":[88],"using":[89],"traditional":[91],"AFT":[96],"cause":[99],"large":[100],"errors":[101],"affect":[103],"judgment.":[105],"Therefore,":[106],"we":[107,121,150],"consider":[108],"applying":[109],"a":[110],"mixed":[111,133,144],"healing":[112,134,145],"to":[114,152,171,197],"data.":[116],"previous":[119],"period,":[120],"compared":[123],"proportional":[127,131,180,228,254,286,303],"risk":[128,132,255,287,304],"function":[129,139],"model.":[146,164,243,271],"paper,":[149],"want":[151],"compare":[153],"predicted":[155],"effects":[156],"PHMC":[159,234,270,274],"AFTMC":[163,242,263,290],"Methods:":[165],"We":[166],"use":[167],"Monte":[168],"Carlo":[169],"simulations":[170],"generate":[172],"data":[173,215,222,247,280,296],"satisfy":[175,179],"do":[177],"assumptions.":[181,288],"Using":[182],"consistency":[184],"probability,":[185],"average":[187],"square":[188],"error":[189],"regression":[191],"coefficient":[192],"95%":[194],"confidence":[195],"interval":[196],"cover":[198],"original":[200],"parameter":[201],"evaluation":[204],"index,":[205],"discriminant":[207],"precision":[208],"fitting":[210,231,260],"effect":[211,232,261],"same":[214],"compared.":[217],"Result:":[218],"For":[219,244],"based":[223,248,281,297],"on":[224,249,282,298],"assumption":[226,251,284,300],"risk,":[229],"is":[236,256,265,276,292,305],"more":[237],"accurate":[238],"than":[239,267],"satisfied,":[258],"better":[266],"Conclusion:":[272],"recommended":[277,293],"for":[278,294],"met.":[307]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
