950 resultados para AFT Models for Crash Duration Survival Analysis


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

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Biometria - IBB

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From the organization of social movements in the late 1960s to the institutionalization of participatory politics in the Brazilian Federal Constitution in 1998 , the research agenda on participatory institutions in Brazil was not only consolidated in the academic setting as been growing and diversifying in the past decades. The main objective of this paper is to put the most recent literature of policy process applied to studies of participatory institutions. This paper assumes that the public policy are multidisciplinary epistemological field of knowledge. Thus, it is through the explanation of some of his theories and models of the policy process analysis that we aims to show new perspectives for the research agenda on participatory institutions.

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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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Pós-graduação em Agronomia (Entomologia Agrícola) - FCAV

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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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Background: Percutaneous coronary intervention (PCI) has increased as the initial revascularization strategy in chronic coronary artery disease. Consequently, more patients undergoing coronary artery bypass grafting (CABG) have history of coronary stent. Objective: Evaluate the impact of previous PCI on in-hospital mortality after CABG in patients with multivessel coronary artery disease. Methods: Between May/2007 and June/2009, 1099 consecutive patients underwent CABG on cardiopulmonary bypass. Patients with no PCI (n=938, 85.3%) were compared with patients with previous PCI (n=161, 14.6%). Logistic regression models and propensity score matching analysis were used to assess the risk-adjusted impact of previous PCI on in-hospital mortality. Results: Both groups were similar, except for the fact that patients with previous PCI were more likely to have unstable angina (16.1% x 9.9%, p=0.019). In-hospital mortality after CABG was higher in patients with previous PCI (9.3% x 5.1%, p=0.034) and it was comparable with EuroSCORE and 2000 Bernstein-Parsonnet risk score. Using multivariate logistic regression analysis, previous PCI emerged as an independent predictor of postoperative in-hospital mortality (odds ratio 1.94, 95% CI 1.02-3.68, p=0.044) as strong as diabetes (odds ratio 1.86, 95% CI 1.07-3.24, p=0.028). After computed propensity score matching based on preoperative risk factors, in-hospital mortality remained higher among patients with previous PCI (odds ratio 3.46, 95% CI 1.10-10.93, p=0.034). Conclusions: Previous PCI in patients with multivessel coronary artery disease is an independent risk factor for in-hospital mortality after CABG. This fact must be considered when PCI is indicated as initial alternative in patients with more severe coronary artery disease. (Arq Bras Cardiol 2012;99(1):586-595)

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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.