{"id":"https://openalex.org/W4388658600","doi":"https://doi.org/10.1007/s11222-023-10347-8","title":"Doubly robust estimation and robust empirical likelihood in generalized linear models with missing responses","display_name":"Doubly robust estimation and robust empirical likelihood in generalized linear models with missing responses","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4388658600","doi":"https://doi.org/10.1007/s11222-023-10347-8"},"language":"en","primary_location":{"id":"doi:10.1007/s11222-023-10347-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-023-10347-8","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","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/A5048977690","display_name":"Liugen Xue","orcid":"https://orcid.org/0000-0001-7625-649X"},"institutions":[{"id":"https://openalex.org/I173899330","display_name":"Henan University","ror":"https://ror.org/003xyzq10","country_code":"CN","type":"education","lineage":["https://openalex.org/I173899330"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liugen Xue","raw_affiliation_strings":["School of Mathematics and Statistics, Henan University, Kaifeng, People\u2019s Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Henan University, Kaifeng, People\u2019s Republic of China","institution_ids":["https://openalex.org/I173899330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048977690"],"corresponding_institution_ids":["https://openalex.org/I173899330"],"apc_list":{"value":2090,"currency":"EUR","value_usd":2690},"apc_paid":null,"fwci":0.3388,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65201999,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"34","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9991000294685364,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9991000294685364,"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":0.9979000091552734,"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":0.9894999861717224,"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/mathematics","display_name":"Mathematics","score":0.7477933764457703},{"id":"https://openalex.org/keywords/empirical-likelihood","display_name":"Empirical likelihood","score":0.7272416949272156},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"Asymptotic distribution","score":0.6197432279586792},{"id":"https://openalex.org/keywords/robust-regression","display_name":"Robust regression","score":0.5994981527328491},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5660403370857239},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.544571042060852},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.4782792031764984},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.46215111017227173},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.4585947096347809},{"id":"https://openalex.org/keywords/robust-statistics","display_name":"Robust statistics","score":0.4454880952835083},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4454546272754669},{"id":"https://openalex.org/keywords/estimating-equations","display_name":"Estimating equations","score":0.44022437930107117},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.437358558177948},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.43025723099708557},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4255627989768982},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.42179322242736816},{"id":"https://openalex.org/keywords/confidence-region","display_name":"Confidence region","score":0.41591835021972656},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3821880519390106},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.17907461524009705}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7477933764457703},{"id":"https://openalex.org/C2781117939","wikidata":"https://www.wikidata.org/wiki/Q5374245","display_name":"Empirical likelihood","level":3,"score":0.7272416949272156},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.6197432279586792},{"id":"https://openalex.org/C70259352","wikidata":"https://www.wikidata.org/wiki/Q1847839","display_name":"Robust regression","level":3,"score":0.5994981527328491},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5660403370857239},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.544571042060852},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.4782792031764984},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.46215111017227173},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.4585947096347809},{"id":"https://openalex.org/C67226441","wikidata":"https://www.wikidata.org/wiki/Q1665389","display_name":"Robust statistics","level":3,"score":0.4454880952835083},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4454546272754669},{"id":"https://openalex.org/C204016326","wikidata":"https://www.wikidata.org/wiki/Q5401384","display_name":"Estimating equations","level":3,"score":0.44022437930107117},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.437358558177948},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.43025723099708557},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4255627989768982},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.42179322242736816},{"id":"https://openalex.org/C143380155","wikidata":"https://www.wikidata.org/wiki/Q5160088","display_name":"Confidence region","level":3,"score":0.41591835021972656},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3821880519390106},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.17907461524009705},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s11222-023-10347-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s11222-023-10347-8","pdf_url":null,"source":{"id":"https://openalex.org/S5437875","display_name":"Statistics and Computing","issn_l":"0960-3174","issn":["0960-3174","1573-1375"],"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":"Statistics and Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3707623983","display_name":null,"funder_award_id":"11971001","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W111826236","https://openalex.org/W1963571612","https://openalex.org/W1974234363","https://openalex.org/W1997859853","https://openalex.org/W2018494512","https://openalex.org/W2041459037","https://openalex.org/W2062541416","https://openalex.org/W2069121057","https://openalex.org/W2079616023","https://openalex.org/W2137370054","https://openalex.org/W2140718540","https://openalex.org/W2313407065","https://openalex.org/W2912509763"],"related_works":["https://openalex.org/W2058915695","https://openalex.org/W1526323768","https://openalex.org/W1968870732","https://openalex.org/W2158303204","https://openalex.org/W3121219282","https://openalex.org/W1585351680","https://openalex.org/W4388293189","https://openalex.org/W2330005985","https://openalex.org/W3014432542","https://openalex.org/W3042102942"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}