{"id":"https://openalex.org/W3041350452","doi":"https://doi.org/10.1080/03610918.2020.1775848","title":"Model free feature screening for ultrahigh dimensional covariates with right censored outcomes","display_name":"Model free feature screening for ultrahigh dimensional covariates with right censored outcomes","publication_year":2020,"publication_date":"2020-07-07","ids":{"openalex":"https://openalex.org/W3041350452","doi":"https://doi.org/10.1080/03610918.2020.1775848","mag":"3041350452"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2020.1775848","doi":"https://doi.org/10.1080/03610918.2020.1775848","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1775848","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,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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"},"volume":null,"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/A5036858894","display_name":"Fengli Song","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengli Song","raw_affiliation_strings":["School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101516126","display_name":"Peng Lai","orcid":"https://orcid.org/0000-0002-7669-8797","observed_orcids":["https://orcid.org/0000-0002-7669-8797"]},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Peng Lai","raw_affiliation_strings":["School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088772392","display_name":"Baohua Shen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baohua Shen","raw_affiliation_strings":["School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100556919","display_name":"Zhu Lianhua","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianhua Zhu","raw_affiliation_strings":["School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101516126"],"corresponding_institution_ids":["https://openalex.org/I200845125"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0955928,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"51","issue":"8","first_page":"4815","last_page":"4827"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":1.0,"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":1.0,"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":0.0,"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":0.0,"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/feature-screening","display_name":"feature screening","score":0.9710000157356262},{"id":"https://openalex.org/keywords/survival-data","display_name":"survival data","score":0.7860000133514404},{"id":"https://openalex.org/keywords/right-censoring","display_name":"right censoring","score":0.9449999928474426},{"id":"https://openalex.org/keywords/model-free-screening","display_name":"model-free screening","score":0.7820000052452087},{"id":"https://openalex.org/keywords/sure-screening-property","display_name":"sure screening property","score":0.859000027179718},{"id":"https://openalex.org/keywords/rank-based-methods","display_name":"rank-based methods","score":0.5830000042915344}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.846779465675354},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.8134170770645142},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7215937376022339},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6668729782104492},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6622708439826965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6002721190452576},{"id":"https://openalex.org/C2779915747","wikidata":"https://www.wikidata.org/wiki/Q17058619","display_name":"Inverse probability weighting","level":3,"score":0.5219911336898804},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.4637594223022461},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.45605558156967163},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4069706201553345},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3254004120826721},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3232780992984772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31305503845214844},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2734823226928711},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2474938929080963},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12217193841934204},{"id":"https://openalex.org/C17923572","wikidata":"https://www.wikidata.org/wiki/Q7250160","display_name":"Propensity score matching","level":2,"score":0.06406575441360474},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2020.1775848","doi":"https://doi.org/10.1080/03610918.2020.1775848","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2020.1775848","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,"listed_in":["anvur-scientific","cwts-core","dongbi-c","jufo-1","ki-jl-1","norway-1","poland-40","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"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":0.5683000087738037,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[{"score":0.46000000834465027,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"},{"score":0.4399999976158142,"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G6266403933","display_name":null,"funder_award_id":"BK20161530","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G7341385546","display_name":null,"funder_award_id":"2017YFA0603804","funder_id":"https://openalex.org/F4320321537","funder_display_name":"State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center"},{"id":"https://openalex.org/G7730302003","display_name":null,"funder_award_id":"2018YFC1505804","funder_id":"https://openalex.org/F4320321537","funder_display_name":"State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321537","display_name":"State Key Laboratory of Space Medicine Fundamentals and Application, China Astronaut Research and Training Center","ror":"https://ror.org/001ycj259"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1635317667","https://openalex.org/W1703549659","https://openalex.org/W1965125844","https://openalex.org/W1976564639","https://openalex.org/W1995668352","https://openalex.org/W2012309718","https://openalex.org/W2020695240","https://openalex.org/W2020925091","https://openalex.org/W2029947124","https://openalex.org/W2034260606","https://openalex.org/W2042894361","https://openalex.org/W2056938357","https://openalex.org/W2074682976","https://openalex.org/W2135046866","https://openalex.org/W2154560360","https://openalex.org/W2164092415","https://openalex.org/W2274262898","https://openalex.org/W2308962484","https://openalex.org/W2441359628","https://openalex.org/W2555531561","https://openalex.org/W2768021863","https://openalex.org/W2775309971","https://openalex.org/W3098306969","https://openalex.org/W3105340263","https://openalex.org/W3122008423","https://openalex.org/W4233413206"],"related_works":["https://openalex.org/W2064181951","https://openalex.org/W2792777176","https://openalex.org/W3209240733","https://openalex.org/W4405382134","https://openalex.org/W2300346501","https://openalex.org/W4386505310","https://openalex.org/W1754691347","https://openalex.org/W4286233809","https://openalex.org/W4382918593","https://openalex.org/W4399385910"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,58,67],"concerned":[3],"with":[4,112],"feature":[5,17],"screening":[6,18,90],"for":[7],"the":[8,22,51,54,61,70,81,88,101,113],"ultrahigh":[9],"dimensional":[10],"survival":[11],"data.":[12],"We":[13,86],"propose":[14],"a":[15],"new":[16],"procedure":[19,35,66,107],"by":[20],"extending":[21],"method":[23],"of":[24,72,83,100],"Zhu":[25],"et":[26],"al.":[27],"via":[28],"inverse":[29],"probability":[30],"censoring":[31],"weighting.":[32],"The":[33,96],"proposed":[34],"enjoys":[36],"two":[37],"appealing":[38],"merits.":[39],"First,":[40],"it":[41,57,78],"does":[42],"not":[43],"need":[44],"to":[45,60],"specify":[46],"any":[47],"model":[48,62],"assumption":[49],"between":[50],"response":[52],"and":[53,98],"covariates.":[55],"Thus,":[56],"robust":[59,68],"mis-specification.":[63],"Second,":[64],"our":[65,106],"in":[69,110],"presence":[71],"outliers":[73],"or":[74],"extreme":[75],"values":[76],"since":[77],"only":[79],"uses":[80],"rank":[82],"censored":[84],"outcomes.":[85],"establish":[87],"sure":[89],"property":[91],"under":[92],"some":[93],"regular":[94],"conditions.":[95],"simulations":[97],"analysis":[99],"real":[102],"data":[103],"demonstrate":[104],"that":[105],"exhibits":[108],"favorably":[109],"comparison":[111],"existing":[114],"competitors.":[115]},"counts_by_year":[],"updated_date":"2026-10-13T10:08:12.033832","created_date":"2025-10-10T00:00:00"}
