MГ©todos: foram avaliadas 80 telerradiografias de perfil de 80 pacientes com 10 a 17 anos de idade, sendo 40 com mГЎ oclusГЈo de Classe I e 40 com Classe II mandibular, pareados por idade. Assim, o objetivo do presente estudo foi avaliar as vias aГ©reas superiores de pacientes com Classe II esquelГ©tica, verificando a associaГ§ГЈo entre essas dimensГµes e a posiГ§ГЈo mandibular, o comprimento mandibular e a tendГЄncia de crescimento, comparando-os com um grupo pareado de pacientes com Classe I. IntroduГ§ГЈo: as mГЎs oclusГµes de Classe II mandibulares parecem interferir nas dimensГµes das vias aГ©reas superiores. There was a correlation between mandibular length and position and the size of oropharynx and nasopharynx. Conclusion: Individuals with mandibular Class II malocclusion were shown to have upper airways measurements diminished. In addition, the size of the nasopharynx was found to be correlated with Xi-Pm, Co-Gn, facial depth, SNB, facial axis and FMA. There was a statistically significant positive correlation between the size of the oropharynx and Xi-Pm, Co-Gn and SNB measurements. Oropharynx and nasopharynx sizes as well as mandibular position and length were found to be reduced in Class II individuals. Results:В There were differences between groups. A 95% confidence interval and 5% significance level were adopted to interpret the results. StudentвЂ™s t-test, Pearson correlation and intraclass correlation coefficient were used. Data were submitted to descriptive and inferential statistical analysis by means of SPSS 20.0 statistical package. McNamara Jr., Ricketts, Downs and JarabakвЂ™s measurements were used for cephalometric evaluation. Forty radiographs of Class I malocclusion individuals were matched by age with forty radiographs of individuals with mandibular Class II malocclusion. Methods: A total of 80 lateral cephalograms from 80 individuals aged between 10 and 17 years old were assessed. The aim of this study was to assess the upper airways measurements of patients with skeletal Class II malocclusion in order to investigate the association between these measurements and the position and length of the mandible as well as mandibular growth trend, comparing the Class II group with a Class I one. Objective: Mandibular Class II malocclusions seem to interfere in upper airways measurements.

13ВЄ Escola de Modelos de RegressГЈo, Maresias, SP.Assessment of upper airways measurements in patients with mandibular skeletal Class II malocclusion Nayanna Nadja e Silva1, Rosa Helena Wanderley Lacerda2, Alexandre Wellos Cunha Silva3, Tania Braga Ramos4 DOI: (2013) Modelos de regressГЈo com respostas limitadas e censuradas. Em preparaГ§ГЈo, versГЈo para artigo.Д«olfarine, H., Santos, B., Correia, L., Martinez, G., Gomez, H., e Bazan, J. linkД«ayesian spatial quantile regression. On Bayesian quantile regression and outliers. Bayesian quantile regression analysis for continuous data with a discrete component at zero. Proceedings of the 30th International Workshop on Statistical Modelling (Herwig Friedl, Helga Wagner, editors), vol. Analysis of BrazilвЂ™s presidential election viaД«ayesian spatial quantile regression. Communications in Statistics - Theory and Methods. Influence measures in quantile regression models. Journal of Statistical Computation and Simulation. Bayesian analysis for zero-or-one inflated proportion data using quantile regression. Association of pollution with quantiles and expectations of the hospitalization rate of elderly people by respiratory diseases in the city of SГЈo Paulo, Brazil. Muggeo, Vincenza Capursi, Giovanni Boscaino, Gianfranco Lovison, editors), vol. Proceedings of the 28th International Workshop on Statistical Modelling (Vito M.R. A two-part model using quantile regression under a Bayesian perspective. Proceedings of the 27th International Workshop on Statistical Modelling (Arnost Komarek, Stanislav Nagy, editors), vol.

Analysis of residuals in quantile regression: an application to income data in Brazil.

Modelos de regressГЈo quantГlica, sob orientaГ§ГЈo da ProfВЄ Silvia Nagib Elian. TambГ©m tenho interesse em estudar mГ©todos de seleГ§ГЈo de variГЎveis dentro da classe de modelos de regressГЈo quantГlica. Meus atuais interesses de pesquisa sГЈo extensГµes dos modelos de regressГЈo quantГlica, para dados distribuГdos no intervalo (0,1), assim como para dados com suposiГ§ГЈo de excesso de zeros.

Estatistica intervalo de classe