{"id":"https://openalex.org/W1986994210","doi":"https://doi.org/10.1080/03610911003790106","title":"Prediction in Multilevel Logistic Regression","display_name":"Prediction in Multilevel Logistic Regression","publication_year":2010,"publication_date":"2010-05-07","ids":{"openalex":"https://openalex.org/W1986994210","doi":"https://doi.org/10.1080/03610911003790106","mag":"1986994210"},"language":"en","primary_location":{"id":"doi:10.1080/03610911003790106","is_oa":false,"landing_page_url":"http://doi.org/10.1080/03610911003790106","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":true,"oa_status":"green","oa_url":"https://doi.org/10.1080/03610911003790106","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036177929","display_name":"Karin Ayumi Tamura","orcid":null},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Karin Ayumi Tamura","raw_affiliation_strings":["Department of Statistics , University of S\u00e3o Paulo, Institute of Mathematics and Statistics , S\u00e3o Paulo , Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Statistics , University of S\u00e3o Paulo, Institute of Mathematics and Statistics , S\u00e3o Paulo , Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074469824","display_name":"Viviana Giampaoli","orcid":"https://orcid.org/0000-0001-7812-6963"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Viviana Giampaoli","raw_affiliation_strings":["Department of Statistics , University of S\u00e3o Paulo, Institute of Mathematics and Statistics , S\u00e3o Paulo , Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Statistics , University of S\u00e3o Paulo, Institute of Mathematics and Statistics , S\u00e3o Paulo , Brazil","institution_ids":["https://openalex.org/I17974374"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036177929"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.5971,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69969468,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"39","issue":"6","first_page":"1083","last_page":"1096"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9922999739646912,"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":0.9922999739646912,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9908999800682068,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9872000217437744,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.7768681645393372},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6172271966934204},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.607361376285553},{"id":"https://openalex.org/keywords/multilevel-model","display_name":"Multilevel model","score":0.5587413311004639},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.4394463896751404},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43537163734436035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.42652639746665955},{"id":"https://openalex.org/keywords/hierarchical-database-model","display_name":"Hierarchical database model","score":0.4209647476673126},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3892669379711151},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.22618532180786133}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.7768681645393372},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6172271966934204},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.607361376285553},{"id":"https://openalex.org/C53059260","wikidata":"https://www.wikidata.org/wiki/Q374758","display_name":"Multilevel model","level":2,"score":0.5587413311004639},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.4394463896751404},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43537163734436035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42652639746665955},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.4209647476673126},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3892669379711151},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.22618532180786133},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/03610911003790106","is_oa":false,"landing_page_url":"http://doi.org/10.1080/03610911003790106","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"},{"id":"pmh:oai:www.producao.usp.br:BDPI/30476","is_oa":false,"landing_page_url":"http://producao.usp.br/handle/BDPI/30476","pdf_url":null,"source":{"id":"https://openalex.org/S4306401373","display_name":"Scientific Electronic Library Online (S\u00e3o Paulo Research Foundation, Latin American and Caribbean Center on Health Sciences Information, Conselho Nacional de Desenvolvimento Cient\u00edfico e Tecnol\u00f3gico)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2982035970","host_organization_name":"Costa Rican Department of Social Security","host_organization_lineage":["https://openalex.org/I2982035970"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"article"},{"id":"pmh:001827817","is_oa":true,"landing_page_url":"https://doi.org/10.1080/03610911003790106","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:001827817","is_oa":true,"landing_page_url":"https://doi.org/10.1080/03610911003790106","pdf_url":null,"source":{"id":"https://openalex.org/S4306402641","display_name":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Cient\u00edficas)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4383465926","host_organization_name":"LA Referencia","host_organization_lineage":["https://openalex.org/I4383465926"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"reponame:Reposit\u00f3rio Institucional da USP (Biblioteca Digital da Produ\u00e7\u00e3o Intelectual)","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W657162135","https://openalex.org/W1518552727","https://openalex.org/W1541157178","https://openalex.org/W1590636096","https://openalex.org/W1972625678","https://openalex.org/W1989440796","https://openalex.org/W1991386268","https://openalex.org/W1997318672","https://openalex.org/W2011981966","https://openalex.org/W2014581807","https://openalex.org/W2062055526","https://openalex.org/W2093651810","https://openalex.org/W2093970674","https://openalex.org/W2117180217","https://openalex.org/W2124763785","https://openalex.org/W2128860785","https://openalex.org/W2147098768","https://openalex.org/W2317026079","https://openalex.org/W2497171922","https://openalex.org/W2533329771","https://openalex.org/W2794842365","https://openalex.org/W4206439534","https://openalex.org/W4206653471","https://openalex.org/W4236702380","https://openalex.org/W4238306122","https://openalex.org/W4249214388","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1970241727","https://openalex.org/W2401588063","https://openalex.org/W2183628556","https://openalex.org/W2163493657","https://openalex.org/W1511439703","https://openalex.org/W2357237528","https://openalex.org/W1988307110","https://openalex.org/W2127134898","https://openalex.org/W3124357298","https://openalex.org/W2042287631"],"abstract_inverted_index":{"The":[0,28,55],"purpose":[1],"of":[2,16,61,69],"this":[3],"article":[4],"is":[5,31],"to":[6,11],"present":[7],"a":[8,20,24,65],"new":[9,21,66],"method":[10],"predict":[12],"the":[13,34,39,59,62,70,77],"response":[14],"variable":[15],"an":[17,86],"observation":[18,68],"in":[19,74],"cluster":[22,67],"for":[23,38,45,58,64],"multilevel":[25,46,71],"logistic":[26,72,79],"regression.":[27],"central":[29],"idea":[30],"based":[32],"on":[33],"empirical":[35],"best":[36],"estimator":[37],"random":[40],"effect.":[41],"Two":[42],"estimation":[43],"methods":[44],"model":[47,73,80],"are":[48,81],"compared:":[49],"penalized":[50],"quasi-likelihood":[51],"and":[52,85],"Gauss-Hermite":[53],"quadrature.":[54],"performance":[56],"measures":[57],"prediction":[60],"probability":[63],"comparison":[75],"with":[76],"usual":[78],"examined":[82],"through":[83],"simulations":[84],"application.":[87]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2016-06-24T00:00:00"}
