{"id":"https://openalex.org/W2075037368","doi":"https://doi.org/10.1007/s00180-013-0476-8","title":"Estimation of relative risk using a log-binomial model with constraints","display_name":"Estimation of relative risk using a log-binomial model with constraints","publication_year":2014,"publication_date":"2014-01-08","ids":{"openalex":"https://openalex.org/W2075037368","doi":"https://doi.org/10.1007/s00180-013-0476-8","mag":"2075037368"},"language":"en","primary_location":{"id":"doi:10.1007/s00180-013-0476-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-013-0476-8","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/A5100842451","display_name":"Luo Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I90727586","display_name":"Zhejiang University of Finance and Economics","ror":"https://ror.org/055vj5234","country_code":"CN","type":"education","lineage":["https://openalex.org/I90727586"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ji Luo","raw_affiliation_strings":["School of Mathematics and Statistics, Zhejiang University of Finance and Economics, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Zhejiang University of Finance and Economics, Hangzhou, China","institution_ids":["https://openalex.org/I90727586"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100417649","display_name":"Jiajia Zhang","orcid":"https://orcid.org/0000-0003-4566-0822"},"institutions":[{"id":"https://openalex.org/I155781252","display_name":"University of South Carolina","ror":"https://ror.org/02b6qw903","country_code":"US","type":"education","lineage":["https://openalex.org/I155781252"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiajia Zhang","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, 29208, USA","Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, USA 29208"],"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, SC, 29208, USA","institution_ids":["https://openalex.org/I155781252"]},{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, USA 29208","institution_ids":["https://openalex.org/I155781252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059155045","display_name":"Han Sun","orcid":"https://orcid.org/0000-0001-9164-5282"},"institutions":[{"id":"https://openalex.org/I1316902750","display_name":"Cleveland Clinic","ror":"https://ror.org/03xjacd83","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1316902750"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Han Sun","raw_affiliation_strings":["Department of Quantitative Health Sciences, Cleveland Clinic, 9300 Euclid Ave, Cleveland, OH, 44195, USA","Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, USA 44195#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Quantitative Health Sciences, Cleveland Clinic, 9300 Euclid Ave, Cleveland, OH, 44195, USA","institution_ids":["https://openalex.org/I1316902750"]},{"raw_affiliation_string":"Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, USA 44195#TAB#","institution_ids":["https://openalex.org/I1316902750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100842451"],"corresponding_institution_ids":["https://openalex.org/I90727586"],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":1.0109,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.78426532,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"29","issue":"5","first_page":"981","last_page":"1003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9940999746322632,"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":0.9940999746322632,"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":0.9858999848365784,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.9684000015258789,"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/odds-ratio","display_name":"Odds ratio","score":0.6429523825645447},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.598426103591919},{"id":"https://openalex.org/keywords/relative-risk","display_name":"Relative risk","score":0.5593826770782471},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5275582671165466},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.48628342151641846},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.48441603779792786},{"id":"https://openalex.org/keywords/odds","display_name":"Odds","score":0.4802118241786957},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.47536057233810425},{"id":"https://openalex.org/keywords/negative-binomial-distribution","display_name":"Negative binomial distribution","score":0.4608907103538513},{"id":"https://openalex.org/keywords/binomial-regression","display_name":"Binomial regression","score":0.4336718022823334},{"id":"https://openalex.org/keywords/log-linear-model","display_name":"Log-linear model","score":0.42582768201828003},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4162672758102417},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3877711594104767},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3212607502937317},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.27486085891723633},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.2723079323768616},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.26157236099243164},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14391720294952393}],"concepts":[{"id":"https://openalex.org/C156957248","wikidata":"https://www.wikidata.org/wiki/Q1862216","display_name":"Odds ratio","level":2,"score":0.6429523825645447},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.598426103591919},{"id":"https://openalex.org/C82789193","wikidata":"https://www.wikidata.org/wiki/Q2142611","display_name":"Relative risk","level":3,"score":0.5593826770782471},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5275582671165466},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.48628342151641846},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.48441603779792786},{"id":"https://openalex.org/C143095724","wikidata":"https://www.wikidata.org/wiki/Q515895","display_name":"Odds","level":3,"score":0.4802118241786957},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.47536057233810425},{"id":"https://openalex.org/C199335787","wikidata":"https://www.wikidata.org/wiki/Q743364","display_name":"Negative binomial distribution","level":3,"score":0.4608907103538513},{"id":"https://openalex.org/C114494560","wikidata":"https://www.wikidata.org/wiki/Q4914493","display_name":"Binomial regression","level":3,"score":0.4336718022823334},{"id":"https://openalex.org/C70519679","wikidata":"https://www.wikidata.org/wiki/Q6666755","display_name":"Log-linear model","level":3,"score":0.42582768201828003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4162672758102417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3877711594104767},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3212607502937317},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.27486085891723633},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.2723079323768616},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.26157236099243164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14391720294952393}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s00180-013-0476-8","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00180-013-0476-8","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:29:y:2014:i:5:p:981-1003","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1007/s00180-013-0476-8","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":[{"display_name":"Good health and well-being","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1972795335","https://openalex.org/W1984320433","https://openalex.org/W1992332433","https://openalex.org/W2068367901","https://openalex.org/W2071808384","https://openalex.org/W2087208729","https://openalex.org/W2091201707","https://openalex.org/W2101347185","https://openalex.org/W2112669742","https://openalex.org/W2144422782","https://openalex.org/W2152053725","https://openalex.org/W2153941399","https://openalex.org/W2157036549","https://openalex.org/W2168277700","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4296836288","https://openalex.org/W2315792992","https://openalex.org/W2210164738","https://openalex.org/W2187867992","https://openalex.org/W1557941528","https://openalex.org/W2964935855","https://openalex.org/W2068245138","https://openalex.org/W828318135","https://openalex.org/W2018127194","https://openalex.org/W1971196763"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}