V
Viviana Giampaoli
Researcher at University of São Paulo
Publications - 30
Citations - 501
Viviana Giampaoli is an academic researcher from University of São Paulo. The author has contributed to research in topics: Logistic regression & Periodontitis. The author has an hindex of 12, co-authored 29 publications receiving 402 citations. Previous affiliations of Viviana Giampaoli include Federal University of Pernambuco.
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Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data
TL;DR: In this article, a negative binomial mixed model was used to analyze longitudinal count responses under over-dispersion, and the model was shown to be better described with a Poisson mixed model.
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Comparison of two normal populations with restricted means
TL;DR: An alternative test is proposed and it is shown via a simulation study, that its power is greater than of the usual Z test in most cases of practical interest.
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Análisis proposicional cuantitativo aplicado a la investigación en administración
TL;DR: An analysis tool comprising a set of techniques apt to generate linguistic units that can be statistically described, compared, modeled and inferred: the Quantitative Propositional Analysis (QPA).
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Exercise-induced muscle vasodilatation and treadmill exercise test responses in individuals without overt heart disease.
Rafael Amorim Belo Nunes,Viviana Giampaoli,Humberto F. G. Freitas,Alexandre C. Pereira,Fernando Araújo,Gustavo Ferreira Correia,Maria Urbana P. B. Rondon,Carlos Eduardo Negrão,Alfredo José Mansur +8 more
TL;DR: It is suggested that favorable hemodynamic and chronotropic responses are associated with better vasodilator capacity, but exercise capacity does not predict muscle vasodILatation.
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Análise proposicional quantitativa aplicada à pesquisa em administração
TL;DR: Analise Proposicional Quantitativa (APQ) as mentioned in this paper is a metodo for the analise of entrevistas, which is based on a conjunto of procedimentos for a geracao de unidades linguisticas passiveis de descricao, comparacao, modelagem e inferencia estatisticas.