{"id":"https://openalex.org/W2000228459","doi":"https://doi.org/10.1093/biomet/83.3.491","title":"On assessing the strength of dependency between failure time variates","display_name":"On assessing the strength of dependency between failure time variates","publication_year":1996,"publication_date":"1996-09-01","ids":{"openalex":"https://openalex.org/W2000228459","doi":"https://doi.org/10.1093/biomet/83.3.491","mag":"2000228459"},"language":"en","primary_location":{"id":"doi:10.1093/biomet/83.3.491","doi":"https://doi.org/10.1093/biomet/83.3.491","is_oa":false,"landing_page_url":"https://doi.org/10.1093/biomet/83.3.491","pdf_url":null,"source":{"id":"https://openalex.org/S172180718","display_name":"Biometrika","issn_l":"0006-3444","issn":["0006-3444","1464-3510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biometrika","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/A5061038538","display_name":"Li Hsu","orcid":"https://orcid.org/0000-0001-8168-4712","observed_orcids":["https://orcid.org/0000-0001-8168-4712","https://orcid.org/0000-0002-1604-3043"]},"institutions":[{"id":"https://openalex.org/I4210089486","display_name":"Fred Hutch Cancer Center","ror":"https://ror.org/007ps6h72","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210089486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"L Hsu","raw_affiliation_strings":["Division of Public Health Sciences, Fred Hutchinson Cancer Research Center 1124 Columbia Street, Seattle, Washington 98104, USA","Division of Public Health Sciences, Fred Hutchinson Cancer Research Center1124 Columbia Street, Seattle, Washington 98104, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Public Health Sciences, Fred Hutchinson Cancer Research Center 1124 Columbia Street, Seattle, Washington 98104, USA","institution_ids":["https://openalex.org/I4210089486"]},{"raw_affiliation_string":"Division of Public Health Sciences, Fred Hutchinson Cancer Research Center1124 Columbia Street, Seattle, Washington 98104, USA","institution_ids":["https://openalex.org/I4210089486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061038538"],"corresponding_institution_ids":["https://openalex.org/I4210089486"],"apc_list":{"value":2724,"currency":"GBP","value_usd":3592},"apc_paid":null,"fwci":4.7503,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.96460764,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":98},"biblio":{"volume":"83","issue":"3","first_page":"491","last_page":"506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.6060000061988831,"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":0.6060000061988831,"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":0.3546999990940094,"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":0.02669999934732914,"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/bivariate-survival-models","display_name":"bivariate survival models","score":0.6790000200271606},{"id":"https://openalex.org/keywords/right-censoring","display_name":"right censoring","score":0.8700000047683716},{"id":"https://openalex.org/keywords/estimating-functions","display_name":"estimating functions","score":0.675000011920929},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"asymptotic distribution","score":0.828000009059906},{"id":"https://openalex.org/keywords/nonparametric-estimators","display_name":"nonparametric estimators","score":0.777999997138977},{"id":"https://openalex.org/keywords/semiparametric-models","display_name":"semiparametric models","score":0.7329999804496765}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.8542623519897461},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7093666791915894},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6382061839103699},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.6136865615844727},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.576988935470581},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.5457432270050049},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.46587392687797546},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.41230830550193787},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4017072916030884},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3599213659763336}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1093/biomet/83.3.491","doi":"https://doi.org/10.1093/biomet/83.3.491","is_oa":false,"landing_page_url":"https://doi.org/10.1093/biomet/83.3.491","pdf_url":null,"source":{"id":"https://openalex.org/S172180718","display_name":"Biometrika","issn_l":"0006-3444","issn":["0006-3444","1464-3510"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biometrika","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Peace, justice, and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6899999976158142}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W70543736","https://openalex.org/W1489433677","https://openalex.org/W1963509555","https://openalex.org/W1966439890","https://openalex.org/W1987067784","https://openalex.org/W2004840843","https://openalex.org/W2054957279","https://openalex.org/W2088389048","https://openalex.org/W2124023666","https://openalex.org/W2153321726","https://openalex.org/W2156841141","https://openalex.org/W2319384619","https://openalex.org/W2403080995","https://openalex.org/W2796930163"],"related_works":["https://openalex.org/W2363656491","https://openalex.org/W4376988598","https://openalex.org/W4388007941","https://openalex.org/W2587771768","https://openalex.org/W1967539619","https://openalex.org/W2160666902","https://openalex.org/W2513577153","https://openalex.org/W1978587380","https://openalex.org/W4241373677","https://openalex.org/W2358971312"],"abstract_inverted_index":{"The":[0],"correlation":[1,21,67,149],"p":[2],"between":[3,14,94,150],"cumulative":[4,64,155],"hazard":[5,65],"variates":[6],"is":[7,22,58,69,102,111,116],"considered":[8,70],"as":[9],"a":[10,55,80,154],"measure":[11],"of":[12,16,28,41,48,79,92,99,123,130,140],"dependence":[13,56],"pairs":[15],"failure":[17,50,90,143],"time":[18,51],"variates.":[19],"Such":[20],"readily":[23],"estimated":[24],"in":[25,38,53,59],"the":[26,39,63,84,88,138,141,148],"absence":[27],"censorship,":[29,127],"but":[30],"modelling":[31],"assumptions":[32],"are":[33,159,165],"required":[34],"for":[35,71,104],"its":[36],"estimation":[37,105,114],"presence":[40],"independent":[42],"right":[43],"censorship.":[44],"A":[45,74],"semiparametric":[46],"class":[47],"bivariate":[49],"models,":[52],"which":[54],"parameter":[57],"one-to-one":[60],"correspondence":[61],"with":[62],"variate":[66],"p,":[68],"this":[72],"purpose.":[73],"simple":[75],"estimating":[76],"function,":[77],"consisting":[78],"weighted":[81],"sum":[82],"over":[83],"grid":[85],"formed":[86],"by":[87],"observed":[89,142],"times":[91],"differences":[93],"nonparametric":[95,163],"and":[96,106,153,161],"model-restricted":[97],"estimates":[98],"covariance":[100],"rates,":[101],"proposed":[103],"corresponding":[107,162],"asymptotic":[108],"distribution":[109],"theory":[110],"given.":[112],"This":[113],"procedure":[115],"shown":[117],"to":[118,125],"lack":[119],"robustness":[120],"under":[121],"conditions":[122],"moderate":[124],"heavy":[126],"motivating":[128],"consideration":[129],"dependency":[131],"measures":[132],"that":[133],"can":[134],"be":[135],"defined":[136],"on":[137],"support":[139],"times.":[144],"Two":[145],"such":[146],"measures,":[147],"marginal":[151],"martingales,":[152],"cross":[156],"ratio":[157],"statistic,":[158],"discussed":[160],"estimators":[164],"proposed.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2025-10-10T00:00:00"}
