{"id":"https://openalex.org/W2048721400","doi":"https://doi.org/10.1007/s00180-010-0225-1","title":"Inference for Cox\u2019s regression models via adjusted empirical likelihood","display_name":"Inference for Cox\u2019s regression models via adjusted empirical likelihood","publication_year":2011,"publication_date":"2011-01-11","ids":{"openalex":"https://openalex.org/W2048721400","doi":"https://doi.org/10.1007/s00180-010-0225-1","mag":"2048721400"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-010-0225-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-010-0225-1","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","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/A5048109679","display_name":"Yichuan Zhao","orcid":"https://orcid.org/0000-0002-5069-1968"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yichuan Zhao","raw_affiliation_strings":["Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA","Georgia State University, Department of Mathematics and Statistics, 30303, Atlanta, GA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Georgia State University, Department of Mathematics and Statistics, 30303, Atlanta, GA, USA#TAB#","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067034453","display_name":"Ali Jinnah","orcid":null},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ali Jinnah","raw_affiliation_strings":["Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA","Georgia State University, Department of Mathematics and Statistics, 30303, Atlanta, GA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Georgia State University, Atlanta, GA, 30303, USA","institution_ids":["https://openalex.org/I181565077"]},{"raw_affiliation_string":"Georgia State University, Department of Mathematics and Statistics, 30303, Atlanta, GA, USA#TAB#","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048109679"],"corresponding_institution_ids":["https://openalex.org/I181565077"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":0.8565,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.76016012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"27","issue":"1","first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9965000152587891,"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":0.9954000115394592,"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":0.6949354410171509},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6302536725997925},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5751611590385437},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5355273485183716},{"id":"https://openalex.org/keywords/empirical-likelihood","display_name":"Empirical likelihood","score":0.5161556005477905},{"id":"https://openalex.org/keywords/hazard-ratio","display_name":"Hazard ratio","score":0.5129818320274353},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.49077972769737244},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4682515561580658},{"id":"https://openalex.org/keywords/hazard","display_name":"Hazard","score":0.4668603241443634},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.46143031120300293},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4575265347957611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4339936375617981},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41786038875579834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18300217390060425},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.1734512448310852}],"concepts":[{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.6949354410171509},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6302536725997925},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5751611590385437},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5355273485183716},{"id":"https://openalex.org/C2781117939","wikidata":"https://www.wikidata.org/wiki/Q5374245","display_name":"Empirical likelihood","level":3,"score":0.5161556005477905},{"id":"https://openalex.org/C207103383","wikidata":"https://www.wikidata.org/wiki/Q3930246","display_name":"Hazard ratio","level":3,"score":0.5129818320274353},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.49077972769737244},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4682515561580658},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.4668603241443634},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.46143031120300293},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4575265347957611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4339936375617981},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41786038875579834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18300217390060425},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.1734512448310852},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-010-0225-1","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-010-0225-1","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:compst:v:27:y:2012:i:1:p:1-12","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s00180-010-0225-1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310607","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18"},{"id":"https://openalex.org/F4320311089","display_name":"National Security Agency","ror":"https://ror.org/0047bvr32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1974234363","https://openalex.org/W1986705681","https://openalex.org/W1995392071","https://openalex.org/W2009214783","https://openalex.org/W2035602559","https://openalex.org/W2045661867","https://openalex.org/W2050480171","https://openalex.org/W2062452883","https://openalex.org/W2073762374","https://openalex.org/W2083541611","https://openalex.org/W2093861051","https://openalex.org/W2101503238","https://openalex.org/W2114488607","https://openalex.org/W2115221499","https://openalex.org/W2116855184","https://openalex.org/W2404907523","https://openalex.org/W3147894994","https://openalex.org/W4210688903","https://openalex.org/W4229840300","https://openalex.org/W4245958676"],"related_works":["https://openalex.org/W2775602707","https://openalex.org/W4297898818","https://openalex.org/W3021878258","https://openalex.org/W2254601135","https://openalex.org/W3143852415","https://openalex.org/W2060820907","https://openalex.org/W2031719988","https://openalex.org/W2072240935","https://openalex.org/W2011928446","https://openalex.org/W4299677624"],"abstract_inverted_index":null,"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}