{"id":"https://openalex.org/W2935056047","doi":"https://doi.org/10.1080/03610918.2019.1589511","title":"On the relationship between multicollinearity and separation in logistic regression","display_name":"On the relationship between multicollinearity and separation in logistic regression","publication_year":2019,"publication_date":"2019-03-28","ids":{"openalex":"https://openalex.org/W2935056047","doi":"https://doi.org/10.1080/03610918.2019.1589511","mag":"2935056047"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1589511","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1589511","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":null,"display_name":"Guoping Zeng","orcid":"https://orcid.org/0000-0002-3403-5418"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guoping Zeng","raw_affiliation_strings":["4522 Oak Shores Dr, Plano, TX, USA"],"raw_orcid":"https://orcid.org/0000-0002-3403-5418","affiliations":[{"raw_affiliation_string":"4522 Oak Shores Dr, Plano, TX, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073596770","display_name":"Emily Zeng","orcid":"https://orcid.org/0000-0002-0299-5078"},"institutions":[{"id":"https://openalex.org/I134446601","display_name":"Berkeley College","ror":"https://ror.org/02xewxa75","country_code":"US","type":"education","lineage":["https://openalex.org/I134446601"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emily Zeng","raw_affiliation_strings":["College of Letters & Science, University of California at Berkeley","College of Letters & Science, University of California at Berkeley, Berkeley, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Letters & Science, University of California at Berkeley","institution_ids":["https://openalex.org/I134446601"]},{"raw_affiliation_string":"College of Letters & Science, University of California at Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I134446601"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1299,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.93097129,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"50","issue":"7","first_page":"1989","last_page":"1997"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9991999864578247,"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":0.9991999864578247,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.9593999981880188,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9581000208854675,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/multicollinearity","display_name":"Multicollinearity","score":0.9968154430389404},{"id":"https://openalex.org/keywords/separation","display_name":"Separation (statistics)","score":0.7664932012557983},{"id":"https://openalex.org/keywords/variance-inflation-factor","display_name":"Variance inflation factor","score":0.7654969692230225},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.720565915107727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6030281186103821},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5670410394668579},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.49669700860977173},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42804333567619324}],"concepts":[{"id":"https://openalex.org/C189285262","wikidata":"https://www.wikidata.org/wiki/Q1332350","display_name":"Multicollinearity","level":3,"score":0.9968154430389404},{"id":"https://openalex.org/C2776061190","wikidata":"https://www.wikidata.org/wiki/Q7451805","display_name":"Separation (statistics)","level":2,"score":0.7664932012557983},{"id":"https://openalex.org/C152732102","wikidata":"https://www.wikidata.org/wiki/Q13434396","display_name":"Variance inflation factor","level":4,"score":0.7654969692230225},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.720565915107727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6030281186103821},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5670410394668579},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.49669700860977173},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42804333567619324}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1589511","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1589511","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":[{"display_name":"Reduced inequalities","score":0.5600000023841858,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W359283280","https://openalex.org/W1790915160","https://openalex.org/W1970502168","https://openalex.org/W2054563378","https://openalex.org/W2076812056","https://openalex.org/W2078028891","https://openalex.org/W2138199749","https://openalex.org/W2148131058","https://openalex.org/W2336452334","https://openalex.org/W2473526392","https://openalex.org/W2498119267","https://openalex.org/W2509629856","https://openalex.org/W2513896513","https://openalex.org/W2547369813","https://openalex.org/W2550281959","https://openalex.org/W2555241759","https://openalex.org/W2564555473","https://openalex.org/W2790900497","https://openalex.org/W2791217744","https://openalex.org/W2801356077","https://openalex.org/W2913969657","https://openalex.org/W4244767189"],"related_works":["https://openalex.org/W3133529159","https://openalex.org/W2978826000","https://openalex.org/W2957606078","https://openalex.org/W2471082825","https://openalex.org/W137018658","https://openalex.org/W188292369","https://openalex.org/W3123569879","https://openalex.org/W3036029107","https://openalex.org/W2069789390","https://openalex.org/W3163084994"],"abstract_inverted_index":{"Multicollinearity":[0],"and":[1,23,46,61,76],"separation":[2,45,48,78],"are":[3],"two":[4],"major":[5],"issues":[6],"in":[7],"logistic":[8],"regression.":[9],"In":[10],"this":[11],"paper,":[12],"for":[13],"the":[14,19,57],"first":[15],"time":[16],"we":[17,36],"study":[18],"relationship":[20],"between":[21],"multicollinearity":[22,29,39,60,67],"separation.":[24,32,62],"We":[25,54,63],"analytically":[26,64],"prove":[27,65],"that":[28,38,47,66,77],"implies":[30],"quasi-complete":[31],"Through":[33],"counter":[34],"examples,":[35],"show":[37],"does":[40,49],"not":[41,50],"always":[42,51],"imply":[43,52],"complete":[44],"multicollinearity.":[53],"also":[55],"present":[56],"consequences":[58],"of":[59],"means":[68,79],"no":[69,80],"finite":[70,81],"solution":[71,82],"to":[72,83],"maximum":[73,84],"likelihood":[74,85],"estimate":[75],"estimate.":[86]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}