{"id":"https://openalex.org/W2802620099","doi":"https://doi.org/10.1080/03610918.2018.1458128","title":"Statistical inference for generalized case-cohort design under the proportional hazards model with parameter constraints","display_name":"Statistical inference for generalized case-cohort design under the proportional hazards model with parameter constraints","publication_year":2018,"publication_date":"2018-05-08","ids":{"openalex":"https://openalex.org/W2802620099","doi":"https://doi.org/10.1080/03610918.2018.1458128","mag":"2802620099"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2018.1458128","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1458128","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,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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"},"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/A5084788149","display_name":"Yingli Pan","orcid":"https://orcid.org/0000-0002-5033-7301"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingli Pan","raw_affiliation_strings":["School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Huazhong University of Science and Technology, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048116978","display_name":"Jieli Ding","orcid":"https://orcid.org/0000-0001-7706-7164"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jieli Ding","raw_affiliation_strings":["School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416810","display_name":"Yanyan Liu","orcid":"https://orcid.org/0000-0002-1405-7345"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Liu","raw_affiliation_strings":["School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048116978"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.4741,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64889373,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"48","issue":"8","first_page":"2467","last_page":"2486"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9713000059127808,"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":0.9713000059127808,"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":0.9526000022888184,"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":0.9409000277519226,"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/estimator","display_name":"Estimator","score":0.8011276721954346},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6816540956497192},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5396632552146912},{"id":"https://openalex.org/keywords/proportional-hazards-model","display_name":"Proportional hazards model","score":0.49793171882629395},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.48544079065322876},{"id":"https://openalex.org/keywords/karush\u2013kuhn\u2013tucker-conditions","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","score":0.4786578416824341},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46400609612464905},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.42692604660987854},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.42204421758651733},{"id":"https://openalex.org/keywords/generalized-estimating-equation","display_name":"Generalized estimating equation","score":0.412127822637558},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3888487219810486},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3680902123451233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14387276768684387}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8011276721954346},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6816540956497192},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5396632552146912},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.49793171882629395},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.48544079065322876},{"id":"https://openalex.org/C50454189","wikidata":"https://www.wikidata.org/wiki/Q2075125","display_name":"Karush\u2013Kuhn\u2013Tucker conditions","level":2,"score":0.4786578416824341},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46400609612464905},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.42692604660987854},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42204421758651733},{"id":"https://openalex.org/C27403532","wikidata":"https://www.wikidata.org/wiki/Q5532474","display_name":"Generalized estimating equation","level":2,"score":0.412127822637558},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3888487219810486},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3680902123451233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14387276768684387},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2018.1458128","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1458128","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,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1493899791","https://openalex.org/W1533866157","https://openalex.org/W1580788756","https://openalex.org/W1971321637","https://openalex.org/W1979599124","https://openalex.org/W1985628372","https://openalex.org/W1986300655","https://openalex.org/W1986705681","https://openalex.org/W1994655246","https://openalex.org/W2009622908","https://openalex.org/W2012053212","https://openalex.org/W2016482000","https://openalex.org/W2017091074","https://openalex.org/W2023775301","https://openalex.org/W2026525925","https://openalex.org/W2028117746","https://openalex.org/W2030172320","https://openalex.org/W2030714888","https://openalex.org/W2039284087","https://openalex.org/W2045388132","https://openalex.org/W2050006819","https://openalex.org/W2050891282","https://openalex.org/W2053301665","https://openalex.org/W2056639472","https://openalex.org/W2059932513","https://openalex.org/W2060308631","https://openalex.org/W2066578574","https://openalex.org/W2070147779","https://openalex.org/W2078902752","https://openalex.org/W2080017255","https://openalex.org/W2081427592","https://openalex.org/W2082571806","https://openalex.org/W2091485360","https://openalex.org/W2095229916","https://openalex.org/W2099137021","https://openalex.org/W2100319671","https://openalex.org/W2107639732","https://openalex.org/W2128113935","https://openalex.org/W2129490831","https://openalex.org/W2139720125","https://openalex.org/W2149414429","https://openalex.org/W2152756304","https://openalex.org/W2160377088","https://openalex.org/W2162151760","https://openalex.org/W2237613034","https://openalex.org/W2488161968","https://openalex.org/W2743351726","https://openalex.org/W3147894994","https://openalex.org/W4250589301","https://openalex.org/W4255600897","https://openalex.org/W4289256748"],"related_works":["https://openalex.org/W3126482762","https://openalex.org/W2152704622","https://openalex.org/W3009706689","https://openalex.org/W2793969674","https://openalex.org/W3100081566","https://openalex.org/W2038710811","https://openalex.org/W2896145927","https://openalex.org/W2541575408","https://openalex.org/W2071350371","https://openalex.org/W3084273290"],"abstract_inverted_index":{"The":[0,62],"generalized":[1,47],"case-cohort":[2,48],"design":[3],"is":[4,88],"widely":[5],"used":[6],"in":[7,26,112],"large":[8],"cohort":[9],"studies":[10],"to":[11,100],"reduce":[12],"the":[13,17,32,57,66,72,91,95,106,109],"cost":[14],"and":[15,75],"improve":[16],"efficiency.":[18,34],"Taking":[19],"prior":[20],"information":[21],"of":[22,59,65,94,108],"parameters":[23],"into":[24],"consideration":[25],"modeling":[27],"process":[28],"can":[29],"further":[30],"raise":[31],"inference":[33],"In":[35],"this":[36],"paper,":[37],"we":[38],"consider":[39],"fitting":[40],"proportional":[41],"hazards":[42],"model":[43,60],"with":[44],"constraints":[45],"for":[46,56,90],"studies.":[49,83],"We":[50],"establish":[51],"a":[52,101],"working":[53],"likelihood":[54],"function":[55],"estimation":[58],"parameters.":[61],"asymptotic":[63],"properties":[64,78],"proposed":[67,110],"estimator":[68],"are":[69,79],"derived":[70],"via":[71],"Karush-Kuhn-Tucker":[73],"conditions,":[74],"their":[76],"finite":[77],"assessed":[80],"by":[81],"simulation":[82],"A":[84],"modified":[85],"minorization-maximization":[86],"algorithm":[87],"developed":[89],"numerical":[92],"calculation":[93],"constrained":[96],"estimator.":[97],"An":[98],"application":[99],"Wilms":[102],"tumor":[103],"study":[104],"demonstrates":[105],"utility":[107],"method":[111],"practice.":[113]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}