A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments

Detalhes bibliográficos
Autor(a) principal: Liska, Gilberto Rodrigues
Data de Publicação: 2020
Outros Autores: Citillo, Marcelo Ângelo, Menezes, Fortunato Silva de, Bueno Filho, Júlio Silvio de Sousa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44068
Resumo: A new approach to data analysis in mixture experiments is proposed using the simplex regression, that is in the class of dispersion models family. The advantages of this approach are illustrated in an experiment studying the mixture effect of fat, carbohydrate, and fiber on tumors’ proportion in mammary glands of rats. Model was evaluated by goodness of fit criteria, simulated envelope charts for residuals of adjusted models, odds ratios graphics and their respective confidence intervals. The simplex regression model showed better quality of fit and smaller odds ratio confidence intervals.
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spelling A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experimentsA simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experimentsdispersion model family; proportion; mixture model; mammary gland tumors; odds ratio.dispersion model family; proportion; mixture model; mammary gland tumors; odds ratio.A new approach to data analysis in mixture experiments is proposed using the simplex regression, that is in the class of dispersion models family. The advantages of this approach are illustrated in an experiment studying the mixture effect of fat, carbohydrate, and fiber on tumors’ proportion in mammary glands of rats. Model was evaluated by goodness of fit criteria, simulated envelope charts for residuals of adjusted models, odds ratios graphics and their respective confidence intervals. The simplex regression model showed better quality of fit and smaller odds ratio confidence intervals.A new approach to data analysis in mixture experiments is proposed using the simplex regression, that is in the class of dispersion models family. The advantages of this approach are illustrated in an experiment studying the mixture effect of fat, carbohydrate, and fiber on tumors’ proportion in mammary glands of rats. Model was evaluated by goodness of fit criteria, simulated envelope charts for residuals of adjusted models, odds ratios graphics and their respective confidence intervals. The simplex regression model showed better quality of fit and smaller odds ratio confidence intervals.Universidade Estadual De Maringá2020-05-28info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/4406810.4025/actascitechnol.v42i1.44068Acta Scientiarum. Technology; Vol 42 (2020): Publicação contínua; e44068Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e440681806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44068/751375150100Copyright (c) 2020 Acta Scientiarum. Technologyhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessLiska, Gilberto RodriguesCitillo, Marcelo ÂngeloMenezes, Fortunato Silva deBueno Filho, Júlio Silvio de Sousa2020-06-23T17:14:00Zoai:periodicos.uem.br/ojs:article/44068Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2020-06-23T17:14Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
title A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
spellingShingle A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
Liska, Gilberto Rodrigues
dispersion model family; proportion; mixture model; mammary gland tumors; odds ratio.
dispersion model family; proportion; mixture model; mammary gland tumors; odds ratio.
title_short A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
title_full A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
title_fullStr A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
title_full_unstemmed A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
title_sort A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments
author Liska, Gilberto Rodrigues
author_facet Liska, Gilberto Rodrigues
Citillo, Marcelo Ângelo
Menezes, Fortunato Silva de
Bueno Filho, Júlio Silvio de Sousa
author_role author
author2 Citillo, Marcelo Ângelo
Menezes, Fortunato Silva de
Bueno Filho, Júlio Silvio de Sousa
author2_role author
author
author
dc.contributor.author.fl_str_mv Liska, Gilberto Rodrigues
Citillo, Marcelo Ângelo
Menezes, Fortunato Silva de
Bueno Filho, Júlio Silvio de Sousa
dc.subject.por.fl_str_mv dispersion model family; proportion; mixture model; mammary gland tumors; odds ratio.
dispersion model family; proportion; mixture model; mammary gland tumors; odds ratio.
topic dispersion model family; proportion; mixture model; mammary gland tumors; odds ratio.
dispersion model family; proportion; mixture model; mammary gland tumors; odds ratio.
description A new approach to data analysis in mixture experiments is proposed using the simplex regression, that is in the class of dispersion models family. The advantages of this approach are illustrated in an experiment studying the mixture effect of fat, carbohydrate, and fiber on tumors’ proportion in mammary glands of rats. Model was evaluated by goodness of fit criteria, simulated envelope charts for residuals of adjusted models, odds ratios graphics and their respective confidence intervals. The simplex regression model showed better quality of fit and smaller odds ratio confidence intervals.
publishDate 2020
dc.date.none.fl_str_mv 2020-05-28
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44068
10.4025/actascitechnol.v42i1.44068
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44068
identifier_str_mv 10.4025/actascitechnol.v42i1.44068
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/44068/751375150100
dc.rights.driver.fl_str_mv Copyright (c) 2020 Acta Scientiarum. Technology
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Acta Scientiarum. Technology
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual De Maringá
publisher.none.fl_str_mv Universidade Estadual De Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Technology; Vol 42 (2020): Publicação contínua; e44068
Acta Scientiarum. Technology; v. 42 (2020): Publicação contínua; e44068
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta scientiarum. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
_version_ 1799315336925806592

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