{"id":"https://openalex.org/W4283652812","doi":"https://doi.org/10.1080/03610918.2022.2092639","title":"Ranking based variable selection for censored data using AFT models","display_name":"Ranking based variable selection for censored data using AFT models","publication_year":2022,"publication_date":"2022-06-28","ids":{"openalex":"https://openalex.org/W4283652812","doi":"https://doi.org/10.1080/03610918.2022.2092639"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2092639","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2092639","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/A5064463014","display_name":"Md Hasinur Rahaman Khan","orcid":"https://orcid.org/0000-0001-8405-4361"},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md Hasinur Rahaman Khan","raw_affiliation_strings":["Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0001-8405-4361","affiliations":[{"raw_affiliation_string":"Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090497379","display_name":"Marzan Akhter","orcid":null},"institutions":[{"id":"https://openalex.org/I205746353","display_name":"University of Dhaka","ror":"https://ror.org/05wv2vq37","country_code":"BD","type":"education","lineage":["https://openalex.org/I205746353"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Marzan Akhter","raw_affiliation_strings":["Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I205746353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064463014"],"corresponding_institution_ids":["https://openalex.org/I205746353"],"apc_list":null,"apc_paid":null,"fwci":0.4656,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.63706649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"53","issue":"6","first_page":"2917","last_page":"2939"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9962000250816345,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9940999746322632,"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":0.8058264255523682},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6727637052536011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6489355564117432},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.6480609774589539},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5643836259841919},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5447528958320618},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4949111342430115},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.47268468141555786},{"id":"https://openalex.org/keywords/clustering-high-dimensional-data","display_name":"Clustering high-dimensional data","score":0.4136175513267517},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34181612730026245},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34172534942626953},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.25051939487457275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2340937852859497},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.16438281536102295}],"concepts":[{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.8058264255523682},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6727637052536011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6489355564117432},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6480609774589539},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5643836259841919},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5447528958320618},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4949111342430115},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.47268468141555786},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.4136175513267517},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34181612730026245},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34172534942626953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25051939487457275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2340937852859497},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.16438281536102295},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2092639","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2092639","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":0.550000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1750383427","https://openalex.org/W1849963216","https://openalex.org/W1965125844","https://openalex.org/W1975766983","https://openalex.org/W1978494876","https://openalex.org/W2010706006","https://openalex.org/W2012309718","https://openalex.org/W2014604981","https://openalex.org/W2016119924","https://openalex.org/W2023205960","https://openalex.org/W2027401669","https://openalex.org/W2036242721","https://openalex.org/W2074682976","https://openalex.org/W2088498259","https://openalex.org/W2099620796","https://openalex.org/W2106161928","https://openalex.org/W2112850982","https://openalex.org/W2135046866","https://openalex.org/W2149144946","https://openalex.org/W2149199519","https://openalex.org/W2149879453","https://openalex.org/W2154560360","https://openalex.org/W2158497151","https://openalex.org/W2299467264","https://openalex.org/W2486032467","https://openalex.org/W2515548543","https://openalex.org/W2562162676","https://openalex.org/W2768091687","https://openalex.org/W2794872019","https://openalex.org/W2978964870","https://openalex.org/W3094221292","https://openalex.org/W3098306969","https://openalex.org/W3098713891","https://openalex.org/W3147894994","https://openalex.org/W3176867960","https://openalex.org/W6607674834"],"related_works":["https://openalex.org/W2985746494","https://openalex.org/W4206042385","https://openalex.org/W2511384863","https://openalex.org/W2080773131","https://openalex.org/W2096089271","https://openalex.org/W2923628599","https://openalex.org/W2014100433","https://openalex.org/W2051519658","https://openalex.org/W2792777176","https://openalex.org/W2145057176"],"abstract_inverted_index":{"Numerous":[0],"variable":[1,37,50],"selection":[2,38,51,120],"techniques":[3,20],"have":[4],"been":[5],"developed":[6],"for":[7,16,21,40,127,142],"complete":[8,22],"high-dimensional":[9,128,143],"data":[10,23,131,145],"but":[11],"very":[12],"few":[13],"of":[14,63,82,91,124],"them":[15],"censored":[17,144],"data.":[18,129],"The":[19],"must":[24],"be":[25,140],"modified":[26],"if":[27],"censoring":[28],"is":[29,103],"present.":[30],"In":[31],"this":[32,92],"paper,":[33],"we":[34],"consider":[35],"the":[36,48,61,68,80,83,89,107,109,113,136,153],"technique":[39],"accelerated":[41],"failure":[42],"time":[43],"(AFT)":[44],"models":[45],"by":[46],"extending":[47],"ranking-based":[49],"(RBVS)":[52],"algorithm":[53],"and":[54,118],"its":[55],"iterative":[56,114],"procedure":[57],"as":[58],"proposed":[59,84,110,137],"in":[60,122,147,152],"work":[62],"Baranowski":[64],"et":[65],"al.":[66],"through":[67],"Stute\u2019s":[69],"weighted":[70],"least":[71],"square":[72],"technique.":[73],"Simulation":[74],"studies":[75],"are":[76],"conducted":[77],"to":[78,149],"demonstrate":[79],"performance":[81,90,126],"methods.":[85],"We":[86],"further":[87],"illustrate":[88],"method":[93,111,138],"with":[94],"a":[95],"mantle":[96],"cell":[97],"lymphoma":[98],"microarray":[99],"example.":[100],"When":[101],"there":[102],"no":[104],"correlation":[105],"among":[106],"covariates,":[108],"outperforms":[112],"sure":[115],"independence":[116],"screening":[117],"stability":[119],"methods":[121,151],"terms":[123],"overall":[125],"Real":[130],"analysis":[132,146],"also":[133],"suggests":[134],"that":[135],"can":[139],"chosen":[141],"parallel":[148],"other":[150],"literature.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
