Use este identificador para citar ou linkar para este item:
http://repositorio.ufla.br/jspui/handle/1/42536| Título: | A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments |
| Palavras-chave: | Dispersion model family Mixture model Mammary gland tumors Odds ratio Modelo de mistura Tumores da glândula mamária Razão de probabilidade |
| Data do documento: | 2020 |
| Editor: | Universidade Estadual de Maringá |
| Citação: | 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. |
| 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. |
| URI: | http://repositorio.ufla.br/jspui/handle/1/42536 |
| Aparece nas coleções: | DFI - Artigos publicados em periódicos |
Arquivos associados a este item:
| Arquivo | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| ARTIGO_A simplex dispersion model for improving precision in the odds ratio confidence interval in mixture experiments.pdf | 1,02 MB | Adobe PDF | Visualizar/Abrir |
Este item está licenciada sob uma Licença Creative Commons
