Separation phenomena logistic regression
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista GEINTEC: Gestão. Inovação e Tecnologias |
Texto Completo: | http://www.revistageintec.net/index.php/revista/article/view/378 |
Resumo: | This paper proposes an application of concepts about the maximum likelihood estimation of the binomial logistic regression model to the separation phenomena. It generates bias in the estimation and provides different interpretations of the estimates on the different statistical tests (Wald, Likelihood Ratio and Score) and provides different estimates on the different iterative methods (Newton-Raphson and Fisher Score). It also presents an example that demonstrates the direct implications for the validation of the model and validation of variables, the implications for estimates of odds ratios and confidence intervals, generated from the Wald statistics. Furthermore, we present, briefly, the Firth correction to circumvent the phenomena of separation. |
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Revista GEINTEC: Gestão. Inovação e Tecnologias |
spelling |
Separation phenomena logistic regressionThis paper proposes an application of concepts about the maximum likelihood estimation of the binomial logistic regression model to the separation phenomena. It generates bias in the estimation and provides different interpretations of the estimates on the different statistical tests (Wald, Likelihood Ratio and Score) and provides different estimates on the different iterative methods (Newton-Raphson and Fisher Score). It also presents an example that demonstrates the direct implications for the validation of the model and validation of variables, the implications for estimates of odds ratios and confidence intervals, generated from the Wald statistics. Furthermore, we present, briefly, the Firth correction to circumvent the phenomena of separation.API - Associação Acadêmica de Propriedade IntelectualBarreto, Ikaro Daniel de CarvalhoRusso, Suzana LeitãoBrasil, Gutemberg HespanhaSimon, Vitor Hugo2014-03-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionNÃO ESTÁ ATIVAapplication/pdfhttp://www.revistageintec.net/index.php/revista/article/view/37810.7198/geintec.v4i1.378Revista GEINTEC - Gestão, Inovação e Tecnologias; v. 4, n. 1 (2014); 716-7282237-0722reponame:Revista GEINTEC: Gestão. Inovação e Tecnologiasinstname:Ensino Superior do Piauí (AESPI)instacron:AESPIporhttp://www.revistageintec.net/index.php/revista/article/view/378/394info:eu-repo/semantics/openAccess2019-10-06T00:04:47Zoai:ojs.pkp.sfu.ca:article/378Revistahttp://www.revistageintec.net/index.php/revista/oai2237-07222237-0722opendoar:null2020-06-25 22:43:05.599Revista GEINTEC: Gestão. Inovação e Tecnologias - Ensino Superior do Piauí (AESPI)true |
dc.title.none.fl_str_mv |
Separation phenomena logistic regression |
title |
Separation phenomena logistic regression |
spellingShingle |
Separation phenomena logistic regression Barreto, Ikaro Daniel de Carvalho |
title_short |
Separation phenomena logistic regression |
title_full |
Separation phenomena logistic regression |
title_fullStr |
Separation phenomena logistic regression |
title_full_unstemmed |
Separation phenomena logistic regression |
title_sort |
Separation phenomena logistic regression |
author |
Barreto, Ikaro Daniel de Carvalho |
author_facet |
Barreto, Ikaro Daniel de Carvalho Russo, Suzana Leitão Brasil, Gutemberg Hespanha Simon, Vitor Hugo |
author_role |
author |
author2 |
Russo, Suzana Leitão Brasil, Gutemberg Hespanha Simon, Vitor Hugo |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
|
dc.contributor.author.fl_str_mv |
Barreto, Ikaro Daniel de Carvalho Russo, Suzana Leitão Brasil, Gutemberg Hespanha Simon, Vitor Hugo |
dc.subject.none.fl_str_mv |
|
dc.description.none.fl_txt_mv |
This paper proposes an application of concepts about the maximum likelihood estimation of the binomial logistic regression model to the separation phenomena. It generates bias in the estimation and provides different interpretations of the estimates on the different statistical tests (Wald, Likelihood Ratio and Score) and provides different estimates on the different iterative methods (Newton-Raphson and Fisher Score). It also presents an example that demonstrates the direct implications for the validation of the model and validation of variables, the implications for estimates of odds ratios and confidence intervals, generated from the Wald statistics. Furthermore, we present, briefly, the Firth correction to circumvent the phenomena of separation. |
description |
This paper proposes an application of concepts about the maximum likelihood estimation of the binomial logistic regression model to the separation phenomena. It generates bias in the estimation and provides different interpretations of the estimates on the different statistical tests (Wald, Likelihood Ratio and Score) and provides different estimates on the different iterative methods (Newton-Raphson and Fisher Score). It also presents an example that demonstrates the direct implications for the validation of the model and validation of variables, the implications for estimates of odds ratios and confidence intervals, generated from the Wald statistics. Furthermore, we present, briefly, the Firth correction to circumvent the phenomena of separation. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-03-17 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion NÃO ESTÁ ATIVA |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.revistageintec.net/index.php/revista/article/view/378 10.7198/geintec.v4i1.378 |
url |
http://www.revistageintec.net/index.php/revista/article/view/378 |
identifier_str_mv |
10.7198/geintec.v4i1.378 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.revistageintec.net/index.php/revista/article/view/378/394 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
API - Associação Acadêmica de Propriedade Intelectual |
publisher.none.fl_str_mv |
API - Associação Acadêmica de Propriedade Intelectual |
dc.source.none.fl_str_mv |
Revista GEINTEC - Gestão, Inovação e Tecnologias; v. 4, n. 1 (2014); 716-728 2237-0722 reponame:Revista GEINTEC: Gestão. Inovação e Tecnologias instname:Ensino Superior do Piauí (AESPI) instacron:AESPI |
reponame_str |
Revista GEINTEC: Gestão. Inovação e Tecnologias |
collection |
Revista GEINTEC: Gestão. Inovação e Tecnologias |
instname_str |
Ensino Superior do Piauí (AESPI) |
instacron_str |
AESPI |
institution |
AESPI |
repository.name.fl_str_mv |
Revista GEINTEC: Gestão. Inovação e Tecnologias - Ensino Superior do Piauí (AESPI) |
repository.mail.fl_str_mv |
|
_version_ |
1674121144935907328 |