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: Cirillo, Marcelo Ângelo, Menezes, Fortunato Silva de, Bueno Filho, Julio Silvio de Sousa
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/42536
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 experimentsDispersion model familyMixture modelMammary gland tumorsOdds ratioModelo de misturaTumores da glândula mamáriaRazão de probabilidadeA 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 Maringá2020-08-21T16:34:35Z2020-08-21T16:34:35Z2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfLISKA, G. R. et al. A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments. Acta Scientiarum. Technology, Maringá, v. 42, e44068, 2020.http://repositorio.ufla.br/jspui/handle/1/42536Acta Scientiarum. Technologyreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessLiska, Gilberto RodriguesCirillo, Marcelo ÂngeloMenezes, Fortunato Silva deBueno Filho, Julio Silvio de Sousaeng2023-05-09T17:34:50Zoai:localhost:1/42536Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-09T17:34:50Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv 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
Mixture model
Mammary gland tumors
Odds ratio
Modelo de mistura
Tumores da glândula mamária
Razão de probabilidade
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
Cirillo, Marcelo Ângelo
Menezes, Fortunato Silva de
Bueno Filho, Julio Silvio de Sousa
author_role author
author2 Cirillo, Marcelo Ângelo
Menezes, Fortunato Silva de
Bueno Filho, Julio Silvio de Sousa
author2_role author
author
author
dc.contributor.author.fl_str_mv Liska, Gilberto Rodrigues
Cirillo, Marcelo Ângelo
Menezes, Fortunato Silva de
Bueno Filho, Julio Silvio de Sousa
dc.subject.por.fl_str_mv Dispersion model family
Mixture model
Mammary gland tumors
Odds ratio
Modelo de mistura
Tumores da glândula mamária
Razão de probabilidade
topic Dispersion model family
Mixture model
Mammary gland tumors
Odds ratio
Modelo de mistura
Tumores da glândula mamária
Razão de probabilidade
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 2020-08-21T16:34:35Z
2020-08-21T16:34:35Z
2020
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv LISKA, G. R. et al. A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments. Acta Scientiarum. Technology, Maringá, v. 42, e44068, 2020.
http://repositorio.ufla.br/jspui/handle/1/42536
identifier_str_mv LISKA, G. R. et al. A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments. Acta Scientiarum. Technology, Maringá, v. 42, e44068, 2020.
url http://repositorio.ufla.br/jspui/handle/1/42536
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://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
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
_version_ 1815439266942025728

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