{"id":"https://openalex.org/W2140158068","doi":"https://doi.org/10.3233/mas-2006-1305","title":"Review of inference in logistic regression model parameters","display_name":"Review of inference in logistic regression model parameters","publication_year":2006,"publication_date":"2006-11-02","ids":{"openalex":"https://openalex.org/W2140158068","doi":"https://doi.org/10.3233/mas-2006-1305","mag":"2140158068"},"language":"en","primary_location":{"id":"doi:10.3233/mas-2006-1305","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-2006-1305","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","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/A5064496293","display_name":"M. A. Matin","orcid":"https://orcid.org/0000-0001-9312-4122"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"M.A. Matin","raw_affiliation_strings":["Department of Statistics, School of Mathematics, University of Leeds, Leeds, LS2 9JT, UK. E-mail: matin@maths.leeds.ac.uk"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, School of Mathematics, University of Leeds, Leeds, LS2 9JT, UK. E-mail: matin@maths.leeds.ac.uk","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110966564","display_name":"Subhash Bagui","orcid":null},"institutions":[{"id":"https://openalex.org/I83683471","display_name":"University of West Florida","ror":"https://ror.org/002w4zy91","country_code":"US","type":"education","lineage":["https://openalex.org/I83683471"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S.C. Bagui","raw_affiliation_strings":["Department of Mathematics and Statistics, The University of West Florida, Pensacola, FL 32514, USA. E-mail: sbagui@uwf.edu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, The University of West Florida, Pensacola, FL 32514, USA. E-mail: sbagui@uwf.edu","institution_ids":["https://openalex.org/I83683471"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.13546226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":"3","first_page":"169","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.42669999599456787,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14351","display_name":"Statistical and Computational Modeling","score":0.42669999599456787,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.8523527979850769},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6160704493522644},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.494464635848999},{"id":"https://openalex.org/keywords/logistic-model-tree","display_name":"Logistic model tree","score":0.45000460743904114},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4387189745903015},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.39150863885879517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31276530027389526},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26223140954971313}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.8523527979850769},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6160704493522644},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.494464635848999},{"id":"https://openalex.org/C61722155","wikidata":"https://www.wikidata.org/wiki/Q6667643","display_name":"Logistic model tree","level":3,"score":0.45000460743904114},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4387189745903015},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39150863885879517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31276530027389526},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26223140954971313}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/mas-2006-1305","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-2006-1305","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4300000071525574,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2750047195","https://openalex.org/W4223527116","https://openalex.org/W2347937125","https://openalex.org/W4236506546","https://openalex.org/W2089026391","https://openalex.org/W2085641264","https://openalex.org/W2755867900","https://openalex.org/W4377230287","https://openalex.org/W2784397281","https://openalex.org/W4224235697"],"abstract_inverted_index":{"This":[0],"study":[1],"attempts":[2],"to":[3],"review":[4],"the":[5],"existing":[6],"literature":[7],"in":[8,29],"inference":[9],"of":[10,18],"logistic":[11],"regression":[12],"(LR)":[13],"model":[14],"parameters.":[15],"The":[16],"use":[17,26],"maximum":[19],"likelihood":[20],"estimators":[21],"is":[22,27],"unquestionable;":[23],"however,":[24],"its":[25],"debatable":[28],"small-samples":[30],"because":[31],"they":[32],"may":[33],"be":[34],"biased,":[35],"al":[36]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}