{"id":"https://openalex.org/W2078817951","doi":"https://doi.org/10.1016/s0167-9473(02)00182-2","title":"Quantile dispersion graphs for evaluating and comparing designs for logistic regression models","display_name":"Quantile dispersion graphs for evaluating and comparing designs for logistic regression models","publication_year":2003,"publication_date":"2003-04-30","ids":{"openalex":"https://openalex.org/W2078817951","doi":"https://doi.org/10.1016/s0167-9473(02)00182-2","mag":"2078817951"},"language":"en","primary_location":{"id":"doi:10.1016/s0167-9473(02)00182-2","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(02)00182-2","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics & Data Analysis","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/A5102118775","display_name":"Kevin S. Robinson","orcid":null},"institutions":[{"id":"https://openalex.org/I110152177","display_name":"University of Akron","ror":"https://ror.org/02kyckx55","country_code":"US","type":"education","lineage":["https://openalex.org/I110152177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin S. Robinson","raw_affiliation_strings":["Department of Statistics, The University of Akron, Akron, OH 44325-1913, USA","Department of Statistics, The University of Akron, Akron, OH#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, The University of Akron, Akron, OH 44325-1913, USA","institution_ids":["https://openalex.org/I110152177"]},{"raw_affiliation_string":"Department of Statistics, The University of Akron, Akron, OH#TAB#","institution_ids":["https://openalex.org/I110152177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108785860","display_name":"Andr\u00e9 I. Khuri","orcid":null},"institutions":[{"id":"https://openalex.org/I33213144","display_name":"University of Florida","ror":"https://ror.org/02y3ad647","country_code":"US","type":"education","lineage":["https://openalex.org/I33213144"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Andr\u00e9 I. Khuri","raw_affiliation_strings":["Department of Statistics, University of Florida, P.O. Box 118545, 103 Griffin-Floyd Hall, Gainesville, FL 32611-8545, USA","Department of Statistics, University of Florida, P.O. Box 118545, 103 Griffin-Floyd Hall, Gainesville, FL#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Florida, P.O. Box 118545, 103 Griffin-Floyd Hall, Gainesville, FL 32611-8545, USA","institution_ids":["https://openalex.org/I33213144"]},{"raw_affiliation_string":"Department of Statistics, University of Florida, P.O. Box 118545, 103 Griffin-Floyd Hall, Gainesville, FL#TAB#","institution_ids":["https://openalex.org/I33213144"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5108785860"],"corresponding_institution_ids":["https://openalex.org/I33213144"],"apc_list":{"value":3340,"currency":"USD","value_usd":3340},"apc_paid":null,"fwci":2.2117,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.87826654,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"43","issue":"1","first_page":"47","last_page":"62"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9965999722480774,"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/quantile","display_name":"Quantile","score":0.8771188259124756},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6832997798919678},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.649711012840271},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5157980918884277},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.495613694190979},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.4930069148540497},{"id":"https://openalex.org/keywords/dispersion","display_name":"Dispersion (optics)","score":0.4904575049877167},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.4788122773170471},{"id":"https://openalex.org/keywords/maxima","display_name":"Maxima","score":0.44789087772369385},{"id":"https://openalex.org/keywords/logistic-distribution","display_name":"Logistic distribution","score":0.42341169714927673},{"id":"https://openalex.org/keywords/parameter-space","display_name":"Parameter space","score":0.41964447498321533},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.36120542883872986},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.35665518045425415}],"concepts":[{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.8771188259124756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6832997798919678},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.649711012840271},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5157980918884277},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.495613694190979},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4930069148540497},{"id":"https://openalex.org/C177562468","wikidata":"https://www.wikidata.org/wiki/Q182893","display_name":"Dispersion (optics)","level":2,"score":0.4904575049877167},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.4788122773170471},{"id":"https://openalex.org/C91528185","wikidata":"https://www.wikidata.org/wiki/Q520952","display_name":"Maxima","level":3,"score":0.44789087772369385},{"id":"https://openalex.org/C94465730","wikidata":"https://www.wikidata.org/wiki/Q589603","display_name":"Logistic distribution","level":3,"score":0.42341169714927673},{"id":"https://openalex.org/C73586568","wikidata":"https://www.wikidata.org/wiki/Q2600211","display_name":"Parameter space","level":2,"score":0.41964447498321533},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36120542883872986},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35665518045425415},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C554144382","wikidata":"https://www.wikidata.org/wiki/Q213156","display_name":"Performance art","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/s0167-9473(02)00182-2","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(02)00182-2","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics & Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:eee:csdana:v:43:y:2003:i:1:p:47-62","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0167-9473(02)00182-2","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W115078689","https://openalex.org/W121938757","https://openalex.org/W1510317613","https://openalex.org/W1528905581","https://openalex.org/W1606982116","https://openalex.org/W1968728426","https://openalex.org/W1972903239","https://openalex.org/W1977607018","https://openalex.org/W1995963238","https://openalex.org/W2003916101","https://openalex.org/W2009544437","https://openalex.org/W2014018052","https://openalex.org/W2028630741","https://openalex.org/W2052096063","https://openalex.org/W2058247645","https://openalex.org/W2094689242","https://openalex.org/W2162027833","https://openalex.org/W2316985810","https://openalex.org/W2399109940","https://openalex.org/W2531885524","https://openalex.org/W2797532987","https://openalex.org/W2801490189","https://openalex.org/W3022598036","https://openalex.org/W4240874411","https://openalex.org/W4245579611","https://openalex.org/W4251116176","https://openalex.org/W4298353238"],"related_works":["https://openalex.org/W2913309527","https://openalex.org/W2159775375","https://openalex.org/W2055124383","https://openalex.org/W1841759989","https://openalex.org/W4308335705","https://openalex.org/W1673232818","https://openalex.org/W2009619919","https://openalex.org/W2034521848","https://openalex.org/W2086987088","https://openalex.org/W1991115980"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-26T08:31:28.666265","created_date":"2025-10-10T00:00:00"}