{"id":"https://openalex.org/W160995101","doi":null,"title":"On Correlation Models for Longitudinal Failure Time Data","display_name":"On Correlation Models for Longitudinal Failure Time Data","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W160995101","mag":"160995101"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.501.6447","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.501.6447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sankhya.isical.ac.in/search/69_3/2007026.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5068167422","display_name":"M. Tariqul Hasan","orcid":"https://orcid.org/0000-0001-7802-2910","observed_orcids":["https://orcid.org/0000-0001-7802-2910"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"M. Tariqul Hasan","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-7802-2910","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110121193","display_name":"Brajendra C. Sutradhar","orcid":"https://orcid.org/0000-0002-2073-9721","observed_orcids":["https://orcid.org/0000-0002-2073-9721"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brajendra C. Sutradhar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064937236","display_name":"Gary Sneddon","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gary Sneddon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3033,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59827299,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.36469998955726624,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.36469998955726624,"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":0.3474000096321106,"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/T10136","display_name":"Statistical Methods and Inference","score":0.17870000004768372,"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/correlation-model","display_name":"correlation model","score":0.5440000295639038},{"id":"https://openalex.org/keywords/hazard-ratio-estimation","display_name":"hazard ratio estimation","score":0.9300000071525574},{"id":"https://openalex.org/keywords/model-misspecification","display_name":"model misspecification","score":0.7490000128746033},{"id":"https://openalex.org/keywords/kendall-s-rank-correlation","display_name":"Kendall's rank correlation","score":0.8740000128746033}],"concepts":[{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.8151967525482178},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.7541726231575012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.664145827293396},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5057840347290039},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.4972703754901886},{"id":"https://openalex.org/C101601086","wikidata":"https://www.wikidata.org/wiki/Q3753228","display_name":"Rank correlation","level":2,"score":0.4914594888687134},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.45452961325645447},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.44231748580932617},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4101433753967285},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33577996492385864},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3242809772491455},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.501.6447","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.501.6447","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://sankhya.isical.ac.in/search/69_3/2007026.pdf","raw_type":"text"},{"id":"mag:160995101","doi":null,"is_oa":false,"landing_page_url":"http://sankhya.isical.ac.in/search/69_3/2007026.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1545685020","https://openalex.org/W1985390432","https://openalex.org/W2000228459","https://openalex.org/W2012053212","https://openalex.org/W2015796327","https://openalex.org/W2016238739","https://openalex.org/W2016482000","https://openalex.org/W2054957279","https://openalex.org/W2064374926","https://openalex.org/W2067387335","https://openalex.org/W2091532036","https://openalex.org/W2092648747","https://openalex.org/W2100290045","https://openalex.org/W2141570612","https://openalex.org/W2145159920","https://openalex.org/W2149860264","https://openalex.org/W2971032797","https://openalex.org/W2995133996"],"related_works":["https://openalex.org/W2176902858","https://openalex.org/W2080054069","https://openalex.org/W7095184408","https://openalex.org/W210835724","https://openalex.org/W2091532036","https://openalex.org/W2000228459","https://openalex.org/W2046061126","https://openalex.org/W2100290045","https://openalex.org/W2088200503","https://openalex.org/W2947015920"],"abstract_inverted_index":{"When":[0],"repeated":[1,49,72],"failure":[2,30,50,73,111,128],"times":[3,129],"are":[4],"collected":[5],"from":[6],"a":[7,101,120,168],"large":[8],"number":[9],"of":[10,21,24,34,42,47,103,137],"indepen-dent":[11],"individuals,":[12],"interest":[13],"is":[14,130,165,174],"focused":[15],"primarily":[16],"on":[17,28],"the":[18,22,25,29,35,40,43,48,60,66,71,83,94,116,134,138,146,153,178],"efficient":[19,36],"estimation":[20,179],"effects":[23],"associated":[26],"covariates":[27],"times.":[31,51,74],"The":[32,123,157],"construction":[33],"estimating":[37,150],"equations":[38,151],"requires":[39],"modelling":[41],"true":[44,147],"corre-lation":[45,77],"structure":[46,136],"There":[52],"exists":[53],"several":[54],"bivariate":[55,96],"correlation":[56,97,106,125,135,148],"structures,":[57,98],"such":[58],"as":[59,90,119],"Clayton":[61],"model,":[62],"Kendall\u2019s":[63],"rank":[64],"and":[65],"so-called":[67],"grade":[68],"models,":[69],"for":[70,109,127,152],"These":[75],"existing":[76,95],"structures":[78,107],"are,":[79],"however,":[80],"limited":[81],"to":[82,93,132,144,161,176],"equi-correlation":[84,117],"case":[85],"only.":[86],"In":[87],"this":[88],"paper,":[89],"an":[91],"alternative":[92],"we":[99],"introduce":[100],"class":[102],"observation-driven":[104],"multivariate":[105],"appropriate":[108],"non-stationary":[110],"times,":[112],"which":[113],"also":[114],"accommodate":[115],"model":[118,163],"special":[121],"case.":[122],"proposed":[124],"struc-ture":[126],"exploited":[131],"obtain":[133],"cumulative":[139],"hazard":[140,154],"variates":[141],"in":[142],"order":[143],"construct":[145],"based":[149],"ratio":[155],"parameters.":[156],"efficiency":[158],"loss":[159],"due":[160],"any":[162],"mis-specification":[164],"examined":[166],"through":[167],"simulation":[169],"study.":[170],"A":[171],"numerical":[172],"example":[173],"considered":[175],"illustrate":[177],"methodology.":[180],"AMS":[181],"(2000)":[182],"subject":[183],"classification.":[184],"Primary":[185],"62N02,":[186],"62N01.":[187]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2016-06-24T00:00:00"}