974 resultados para Survival Analysis


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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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With the emergence of new filling materials with different properties and behaviors, the approach of endodontic treatment must be readjusted so that the appropriate result can be achieved. New endodontic sealers include methacrylate resin-based, plant resin-based and the evolution of epoxy-based sealers. This study verified the behavior of new materials that presents controversial results in the literature, about coronal bacterial leakage. That for, 56 single-rooted human teeth were prepared in the direction crown-apex and filled with gutta-percha points with taper of 4% using the single cone technique. Roots were divided randomly into 4 groups according to the sealer (Apexit Plus, AH Plus, EndoREZ and Polifil). After filling, the roots were incorporated in a leakage model, which upper chamber contained a suspension of Streptococcus mutans, and lower chamber a broth, leaving 3 mm of root apical portion immersed. Leakage was assessed for turbidity in lower chamber every day for 60 days. Survival analysis was performed using the nonparametric Kaplan- Meier method (p<0,05). All experimental groups presented leakage during the study’s period, however the maximum time achieve was 22 days. The medium time of leakage was: Apexit Plus 6,3 days, AH Plus 6,3 days and Polifil 5,1 days, but in EndoREZ all specimens infiltrated in the first day, presenting shorter capacity of impermeabilization compared to the other groups. Concluding that none of the sealers tested was able to prevent coronal bacterial leakage

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Pós-graduação em Biometria - IBB

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The purpose of this study was to evaluate the 12-month clinical performance of glass ionomer restorations in teeth with MIH. First permanent molars affected by MIH (48) were restored with glass ionomer cement (GIC) and evaluated at baseline, at 6 and at 12 months, by assessing tooth enamel breakdown, GIC breakdown and caries lesion associations. The data were analyzed using the chi-square test and actuarial survival analysis. The likelihood of a restored tooth remaining unchanged at the end of 12 months was 78%. No statistically significant difference was observed in the association between increased MIH severity and caries at baseline (p > 0.05) for a 6-month period, or between increased MIH severity and previous unsatisfactory treatment at baseline (p > 0.05) for both a 6- and 12-month period. A statistically significant difference was observed in the association between increased MIH severity and extension of the restoration, involving 2 or more surfaces (p < 0.05) at both periods, and between increased MIH severity and caries at baseline (p < 0.05) at a 12-month period. Because the likelihood of maintaining the tooth structures with GIC restorations is high, invasive treatment should be postponed until the child is sufficiently mature to cooperate with the treatment, mainly of teeth affected on just one face.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Pós-graduação em Biopatologia Bucal - ICT

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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In this paper we propose a hybrid hazard regression model with threshold stress which includes the proportional hazards and the accelerated failure time models as particular cases. To express the behavior of lifetimes the generalized-gamma distribution is assumed and an inverse power law model with a threshold stress is considered. For parameter estimation we develop a sampling-based posterior inference procedure based on Markov Chain Monte Carlo techniques. We assume proper but vague priors for the parameters of interest. A simulation study investigates the frequentist properties of the proposed estimators obtained under the assumption of vague priors. Further, some discussions on model selection criteria are given. The methodology is illustrated on simulated and real lifetime data set.

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In this paper, a new family of survival distributions is presented. It is derived by considering that the latent number of failure causes follows a Poisson distribution and the time for these causes to be activated follows an exponential distribution. Three different activation schemes are also considered. Moreover, we propose the inclusion of covariates in the model formulation in order to study their effect on the expected value of the number of causes and on the failure rate function. Inferential procedure based on the maximum likelihood method is discussed and evaluated via simulation. The developed methodology is illustrated on a real data set on ovarian cancer.