{"id":"https://openalex.org/W3097254087","doi":"https://doi.org/10.1155/2020/2790123","title":"Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model","display_name":"Regression Analysis for Outcome-Dependent Sampling Design under the Covariate-Adjusted Additive Hazards Model","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3097254087","doi":"https://doi.org/10.1155/2020/2790123","mag":"3097254087"},"language":"en","primary_location":{"id":"doi:10.1155/2020/2790123","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/2790123","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/2790123.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/complexity/2020/2790123.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009924593","display_name":"Yingli Pan","orcid":"https://orcid.org/0000-0001-9603-7438"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingli Pan","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009339086","display_name":"Songlin Liu","orcid":"https://orcid.org/0000-0002-3663-537X"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songlin Liu","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China","institution_ids":["https://openalex.org/I75900474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075007923","display_name":"Yanli Zhou","orcid":"https://orcid.org/0000-0002-8491-2511"},"institutions":[{"id":"https://openalex.org/I158934434","display_name":"Zhongnan University of Economics and Law","ror":"https://ror.org/04yqxxq63","country_code":"CN","type":"education","lineage":["https://openalex.org/I158934434"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yanli Zhou","raw_affiliation_strings":["School of Finance, Zhongnan University of Economics and Law, Wuhan 430073, China"],"affiliations":[{"raw_affiliation_string":"School of Finance, Zhongnan University of Economics and Law, Wuhan 430073, China","institution_ids":["https://openalex.org/I158934434"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058787774","display_name":"Guangyu Song","orcid":"https://orcid.org/0000-0003-1478-9308"},"institutions":[{"id":"https://openalex.org/I75900474","display_name":"Hubei University","ror":"https://ror.org/03a60m280","country_code":"CN","type":"education","lineage":["https://openalex.org/I75900474"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyu Song","raw_affiliation_strings":["Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China"],"affiliations":[{"raw_affiliation_string":"Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan 430062, China","institution_ids":["https://openalex.org/I75900474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5009339086","https://openalex.org/A5075007923"],"corresponding_institution_ids":["https://openalex.org/I158934434","https://openalex.org/I75900474"],"apc_list":{"value":2300,"currency":"USD","value_usd":2300},"apc_paid":{"value":2300,"currency":"USD","value_usd":2300},"fwci":0.6617,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.72969477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":"2020","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9945999979972839,"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":0.9945999979972839,"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":0.9873999953269958,"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/T14374","display_name":"Statistical Methods in Epidemiology","score":0.9718000292778015,"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/covariate","display_name":"Covariate","score":0.9455841779708862},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.672805666923523},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5743968486785889},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.554222583770752},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5327999591827393},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4855172634124756},{"id":"https://openalex.org/keywords/sampling-design","display_name":"Sampling design","score":0.45675382018089294},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4496781826019287},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.44042742252349854},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4367292523384094},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.42223381996154785},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.41419780254364014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3419830799102783},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.0769512951374054},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07593861222267151}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.9455841779708862},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.672805666923523},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5743968486785889},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.554222583770752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5327999591827393},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4855172634124756},{"id":"https://openalex.org/C75373757","wikidata":"https://www.wikidata.org/wiki/Q7410160","display_name":"Sampling design","level":3,"score":0.45675382018089294},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4496781826019287},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.44042742252349854},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4367292523384094},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.42223381996154785},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.41419780254364014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3419830799102783},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.0769512951374054},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07593861222267151},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1155/2020/2790123","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/2790123","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/2790123.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:hin:complx:2790123","is_oa":false,"landing_page_url":"http://downloads.hindawi.com/journals/8503/2020/2790123.xml","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"},{"id":"pmh:oai:doaj.org/article:63648c7cc1014f8ebfe54196c3ed3c9c","is_oa":true,"landing_page_url":"https://doaj.org/article/63648c7cc1014f8ebfe54196c3ed3c9c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complexity, Vol 2020 (2020)","raw_type":"article"},{"id":"pmh:oai:hindawi.com:10.1155/2020/2790123","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2020/2790123","pdf_url":null,"source":{"id":"https://openalex.org/S4306400340","display_name":"Hindawi Journal of Chemistry (Hindawi)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210126990","host_organization_name":"Hindawi (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210126990"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Research Article"}],"best_oa_location":{"id":"doi:10.1155/2020/2790123","is_oa":true,"landing_page_url":"http://doi.org/10.1155/2020/2790123","pdf_url":"https://downloads.hindawi.com/journals/complexity/2020/2790123.pdf","source":{"id":"https://openalex.org/S207319443","display_name":"Complexity","issn_l":"1076-2787","issn":["1076-2787","1099-0526"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complexity","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1023443514","display_name":null,"funder_award_id":"HBAM201907","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1343820663","display_name":null,"funder_award_id":"17YJC630236","funder_id":"https://openalex.org/F4320321106","funder_display_name":"Ministry of Education of the People's Republic of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2258754871","display_name":null,"funder_award_id":"71901222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3744313044","display_name":null,"funder_award_id":"Social","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6363316520","display_name":null,"funder_award_id":"1901222","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G670471293","display_name":null,"funder_award_id":"17YJC630236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6886497955","display_name":null,"funder_award_id":"11901175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321106","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934"},{"id":"https://openalex.org/F4320329781","display_name":"Hubei University","ror":"https://ror.org/03a60m280"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3097254087.pdf","grobid_xml":"https://content.openalex.org/works/W3097254087.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1486087586","https://openalex.org/W1533866157","https://openalex.org/W1966779266","https://openalex.org/W1974807620","https://openalex.org/W1974939280","https://openalex.org/W1985933235","https://openalex.org/W1986705681","https://openalex.org/W2006927960","https://openalex.org/W2016482000","https://openalex.org/W2020371156","https://openalex.org/W2026525925","https://openalex.org/W2045963699","https://openalex.org/W2052464909","https://openalex.org/W2053301665","https://openalex.org/W2059932513","https://openalex.org/W2067442097","https://openalex.org/W2078311341","https://openalex.org/W2078902752","https://openalex.org/W2083095501","https://openalex.org/W2087089605","https://openalex.org/W2091485360","https://openalex.org/W2100676186","https://openalex.org/W2128113935","https://openalex.org/W2133992633","https://openalex.org/W2150589254","https://openalex.org/W2402440087","https://openalex.org/W2589958091","https://openalex.org/W2766509234","https://openalex.org/W2962856767","https://openalex.org/W3101590008","https://openalex.org/W3102693992"],"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/W2994787386","https://openalex.org/W2002304499"],"abstract_inverted_index":{"This":[0],"paper":[1,32,51,75,95],"provides":[2],"a":[3],"new":[4],"insight":[5],"into":[6],"an":[7],"economical":[8],"and":[9,28,61,81,101,108,132,138],"effective":[10],"sampling":[11,18],"design":[12,20],"method":[13,144],"relying":[14],"on":[15,53,67],"the":[16,26,40,46,55,65,68,78,83,86,90,97,105,115,120,127,141],"outcome-dependent":[17],"(ODS)":[19],"in":[21,145],"large-scale":[22],"cohort":[23],"research.":[24],"Firstly,":[25],"importance":[27],"originality":[29],"of":[30,64,71,85,104,119,140],"this":[31,50,74,94,146],"is":[33],"that":[34,126],"it":[35],"explores":[36],"how":[37],"to":[38,113],"fit":[39],"covariate-adjusted":[41],"additive":[42],"Hazard":[43],"model":[44],"under":[45],"ODS":[47,143],"design;":[48],"secondly,":[49],"focused":[52],"estimating":[54],"distortion":[56],"function":[57],"through":[58],"nonparametric":[59],"regression":[60],"required":[62],"observation":[63],"covariate":[66],"confounding":[69],"factors":[70],"distortion;":[72],"moreover,":[73],"further":[76],"calibrated":[77,91],"contaminated":[79],"covariates":[80],"proposed":[82,106,121,142],"estimators":[84,107],"parameters":[87],"by":[88],"analyzing":[89],"covariates;":[92],"finally,":[93],"established":[96],"large":[98],"sample":[99,117],"property":[100],"asymptotic":[102],"normality":[103],"conducted":[109],"many":[110],"more":[111],"simulations":[112],"evaluate":[114],"finite":[116],"performance":[118,137],"method.":[122],"Empirical":[123],"research":[124],"demonstrates":[125],"results":[128],"from":[129],"both":[130],"artificial":[131],"real":[133],"data":[134],"verified":[135],"good":[136],"practicality":[139],"paper.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
