987 resultados para Box-Cox model


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A associação entre consumo de bebidas alcoólicas e a incidência de hipertensão pode ser dependente do padrão de consumo e raça. Em um estudo de coorte de base populacional, foram entrevistados no domicílio 1089 adultos, selecionados ao acaso. A pressão arterial e medidas antropométricas foram aferidas de acordo com recomendações padronizadas. A quantidade de álcool consumida foi avaliada por um questionário de quantidade-freqüência. Binge drinking foi definido pelo consumo de 5 ou mais drinques em uma ocasião para homens ou 4 drinques para mulheres, e abuso de álcool, por consumo de 30 ou mais gramas por dia em homens ou 15 g ou mais em mulheres. Os entrevistadores classificaram a cor da pele dos participantes em brancos e não-brancos. Casos incidentes de hipertensão foram caracterizados por PA ≥ 140/90 mmHg ou uso de medicamento anti-hipertensivo. A razão de risco (RR) para incidência de hipertensão arterial foi computada em modelo de Cox. Entre os 589 indivíduos normotensos na entrevista basal, foram identificados 127 casos incidentes de hipertensão, após um seguimento de 5,6 ± 1,1 anos. Não houve associação de binge drinking e dependência de álcool (CAGE) com a incidência de hipertensão. A RR ajustada (idade, educação) para a incidência de hipertensão (IC 95% ) foi significativa apenas para indivíduos não-brancos que consumiam 30 g ou mais de etanol por dia: 7,3 (1,4 - 39,3). A pressão arterial sistólica aumentou entre os abusadores não brancos 16,1 ± 3,5 mmHg, em comparação com 4,9 ± 1,5 mmHg entre os abusadores brancos (P= 0,004). Indivíduos com ancestrais africanos que consumisam grandes quantidades de álcool apresentaram maior risco de desenvolverem hipertensão arterial. Este risco não foi explicado por binge drinking ou dependência de álcool.

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This paper develops a family of autoregressive conditional duration (ACD) models that encompasses most specifications in the literature. The nesting relies on a Box-Cox transformation with shape parameter λ to the conditional duration process and a possibly asymmetric shocks impact curve. We establish conditions for the existence of higher-order moments, strict stationarity, geometric ergodicity and β-mixing property with exponential decay. We next derive moment recursion relations and the autocovariance function of the power λ of the duration process. Finally, we assess the practical usefulness of our family of ACD models using NYSE price duration data on the IBM stock. The results warrant the extra flexibility provided either by the Box-Cox transformation or by the asymmetric response to shocks.

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Environmental sustainability has become one of the topics of greatest interest in industry, mainly due to effluent generation. Phenols are found in many industries effluents, these industries might be refineries, coal processing, pharmaceutical, plastics, paints and paper and pulp industries. Because phenolic compounds are toxic to humans and aquatic organisms, Federal Resolution CONAMA No. 430 of 13.05.2011 limits the maximum content of phenols, in 0.5 mg.L-1, for release in freshwater bodies. In the effluents treatment, the liquid-liquid extraction process is the most economical for the phenol recovery, because consumes little energy, but in most cases implements an organic solvent, and the use of it can cause some environmental problems due to the high toxicity of this compound. Because of this, exists a need for new methodologies, which aims to replace these solvents for biodegradable ones. Some literature studies demonstrate the feasibility of phenolic compounds removing from aqueous effluents, by biodegradable solvents. In this extraction kind called "Cloud Point Extraction" is used a nonionic surfactant as extracting agent of phenolic compounds. In order to optimize the phenol extraction process, this paper studies the mathematical modeling and optimization of extraction parameters and investigates the effect of the independent variables in the process. A 32 full factorial design has been done with operating temperature and surfactant concentration as independent variables and, parameters extraction: Volumetric fraction of coacervate phase, surfactant and residual concentration of phenol in dilute phase after separation phase and phenol extraction efficiency, as dependent variables. To achieve the objectives presented before, the work was carried out in five steps: (i) selection of some literature data, (ii) use of Box-Behnken model to find out mathematical models that describes the process of phenol extraction, (iii) Data analysis were performed using STATISTICA 7.0 and the analysis of variance was used to assess the model significance and prediction (iv) models optimization using the response surface method (v) Mathematical models validation using additional measures, from samples different from the ones used to construct the model. The results showed that the mathematical models found are able to calculate the effect of the surfactant concentration and the operating temperature in each extraction parameter studied, respecting the boundaries used. The models optimization allowed the achievement of consistent and applicable results in a simple and quick way leading to high efficiency in process operation.

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FUNDAMENTO: A hipertrofia ventricular esquerda é potente preditor de mortalidade em renais crônicos. Estudo prévio de nosso grupo mostrou que renais crônicos com menor escolaridade têm hipertrofia ventricular mais intensa. OBJETIVO: Ampliar estudo prévio e verificar se a hipertrofia ventricular esquerda pode justificar a associação entre escolaridade e mortalidade cardiovascular de pacientes em hemodiálise. MÉTODOS: Foram avaliados 113 pacientes entre janeiro de 2005 e março de 2008 e seguidos até outubro de 2010. Foram traçadas curvas de sobrevida comparando a mortalidade cardiovascular, e por todas as causas dos pacientes com escolaridade de até três anos (mediana da escolaridade) e pacientes com escolaridade igual ou superior a quatro anos. Foram construídos modelos múltiplos de Cox ajustados para as variáveis de confusão. RESULTADOS: Observou-se associação entre nível de escolaridade e hipertrofia ventricular. A diferença estatística de mortalidade de origem cardiovascular e por todas as causas entre os diferentes níveis de escolaridade ocorreu aos cinco anos e meio de seguimento. No modelo de Cox, a hipertrofia ventricular e a proteína-C reativa associaram-se à mortalidade por todas as causas e de origem cardiovascular. A etiologia da insuficiência renal associou-se à mortalidade por todas as causas e a creatinina associou-se à mortalidade de origem cardiovascular. A associação entre escolaridade e mortalidade perdeu significância estatística no modelo ajustado. CONCLUSÃO: Os resultados do presente trabalho confirmam estudo prévio e demonstram, ademais, que a maior mortalidade cardiovascular observada nos pacientes com menor escolaridade pôde ser explicada por fatores de risco de ordem bioquímica e de morfologia cardíaca.

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Ties among event times are often recorded in survival studies. For example, in a two week laboratory study where event times are measured in days, ties are very likely to occur. The proportional hazards model might be used in this setting using an approximated partial likelihood function. This approximation works well when the number of ties is small. on the other hand, discrete regression models are suggested when the data are heavily tied. However, in many situations it is not clear which approach should be used in practice. In this work, empirical guidelines based on Monte Carlo simulations are provided. These recommendations are based on a measure of the amount of tied data present and the mean square error. An example illustrates the proposed criterion.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Agronomia (Energia na Agricultura) - FCA

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Saúde Coletiva - FMB

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The purpose of this study was to evaluate in vitro the shear bond strenght to bovine dentin, during 24h and 30 days with the following variables: resin cements Enforce and Panavia F; aesthetics restorative materials Art Glass, IPS Empress 2 and Targis, with surface treatment with microetching with aluminium oxide, fluoridric acid and silane. Two hundred eighty eight sound bovine teeth from 3 years old animals constituted the samples after inclusion on polyester resin box. lnstron model 430 Universal Testing Machine, a crosshead speed 0,5 mm/min and load cells of 500 Kg, was used for shear bond strenght testing (MPa). The results were statistically analysed by ANOVA The best result was obtained with /PS Empress 2, microetched with aluminium oxide, fluoridric acid and silane, cemented with Panavia F and stored in distilled water, 3f'C during 30 days

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

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Aims: Development of effective immune-based therapies for patients with non-small-cell lung carcinoma (NSCLC) depends on an accurate characterization of complex interactions that occur between immune cells and the tumour environment. Methods and results: Innate and adaptive immune responses were evaluated in relation to prognosis in 65 patients with surgically excised NSCLC. Immunohistochemistry and morphometry were used to determine the abundance and distribution of immune cells. We found low numbers of immune cells and levels of cytokines in the tumour environment when compared with surrounding parenchyma. Smoking was associated inversely with the adaptive immune response and directly with innate immunity. We observed a prominent adaptive immune response in squamous cell carcinomas (SCC) but greater innate immune responses in adenocarcinomas and large cell carcinomas. Cox model analysis showed a low risk of death for smoking <41 packs/year, N-0 tambour stage, squamous carcinoma, CD4(+) > 16.81% and macrophages/monocytes >4.5%. Collectively, the data indicate that in NSCLC there is not a substantive local immune cell infiltrate within the tumour. Conclusion: Although immune cell infiltration is limited in NSCLC it appears to have an impact on prognosis and this may be of relevance for new immunotherapeutic approaches.

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Background: The purpose of this study was to estimate the genetic influences on the initiation of cigarette smoking, the persistence, quantity and age-at-onset of regular cigarette use in Brazilian families. Methods: The data set consisted of 1,694 individuals enrolled in the Baependi Heart Study. The heritability and the heterogeneity in genetic and environmental variance components by gender were estimated from variance components approaches, using the SOLAR (Sequential Oligogenic Linkage Analysis Routines) computer package. The mixed-effects Cox model was used for the genetic analysis of the age-at onset of regular cigarette use. Results: The heritability estimates were high (> 50%) for smoking initiation and were intermediate, ranging from 23.4 to 31.9%, for smoking persistence and quantity. Significant evidence for heterogeneity in variance components by gender was observed for smoking initiation and age-at-onset of regular cigarette use. Genetic factors play an important role in the interindividual variation of these phenotypes in females, while in males there is a predominant environmental component, which could be explained by greater social influences in the initiation of tobacco use. Conclusions: Significant heritabilities were observed in smoking phenotypes for both males and females from the Brazilian population. These data add to the literature and are concordant with the notion of significant biological determination in smoking behavior. Samples from the Baependi Heart Study may be valuable for the mapping of genetic loci that modulate this complex biological trait.

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Background: Several models have been designed to predict survival of patients with heart failure. These, while available and widely used for both stratifying and deciding upon different treatment options on the individual level, have several limitations. Specifically, some clinical variables that may influence prognosis may have an influence that change over time. Statistical models that include such characteristic may help in evaluating prognosis. The aim of the present study was to analyze and quantify the impact of modeling heart failure survival allowing for covariates with time-varying effects known to be independent predictors of overall mortality in this clinical setting. Methodology: Survival data from an inception cohort of five hundred patients diagnosed with heart failure functional class III and IV between 2002 and 2004 and followed-up to 2006 were analyzed by using the proportional hazards Cox model and variations of the Cox's model and also of the Aalen's additive model. Principal Findings: One-hundred and eighty eight (188) patients died during follow-up. For patients under study, age, serum sodium, hemoglobin, serum creatinine, and left ventricular ejection fraction were significantly associated with mortality. Evidence of time-varying effect was suggested for the last three. Both high hemoglobin and high LV ejection fraction were associated with a reduced risk of dying with a stronger initial effect. High creatinine, associated with an increased risk of dying, also presented an initial stronger effect. The impact of age and sodium were constant over time. Conclusions: The current study points to the importance of evaluating covariates with time-varying effects in heart failure models. The analysis performed suggests that variations of Cox and Aalen models constitute a valuable tool for identifying these variables. The implementation of covariates with time-varying effects into heart failure prognostication models may reduce bias and increase the specificity of such models.

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Assessing the efficacy of implantable cardioverter-defibrillators (ICD) in patients with Chagas' heart disease (ChHD) and identifying the clinical predictors of mortality and ICD shock during long-term follow-up. ChHD is associated with ventricular tachyarrhythmias and an increased risk of sudden cardiac death. Although ChHD is a common form of cardiomyopathy in Latin American ICD users, little is known about its efficacy in the treatment of this population. The study cohort included 116 consecutive patients with ChHD and an ICD implanted for secondary prevention. Of the 116 patients, 83 (72%) were men; the mean age was 54 +/- 10.7 years. Several clinical variables were tested in a multivariate Cox model for predicting long-term mortality. The average follow-up was 45 +/- 32 months. New York Heart Association class I-II developed in 83% of patients. The mean left ventricular ejection fraction was 42 +/- 16% at implantation. Of the 116 patients, 58 (50%) had appropriate shocks and 13 (11%) had inappropriate therapy. A total of 31 patients died (7.1% annual mortality rate). New York Heart Association class III (hazard ratio [HR] 3.09, 95% confidence interval 1.37 to 6.96, p = 0.0064) was a predictor of a worse prognosis. The left ventricular ejection fraction (HR 0.972, 95% confidence interval 0.94 to 0.99, p = 0.0442) and low cumulative right ventricular pacing (HR 0.23, 95% confidence interval 0.11 to 0.49, p = 0.0001) were predictors of better survival. The left ventricular diastolic diameter was an independent predictor of appropriate shock (I-ER 1.032, 95% confidence interval 1.004 to 1.060, p = 0.025). In conclusion, in a long-term follow-up, ICD efficacy for secondary sudden cardiac death prevention in patients with ChHD was marked by a favorable annual rate of all-cause mortality (7.1%); 50% of the cohort received appropriate shock therapy. New York Heart Association class III and left ventricular ejection fraction were independent predictors of worse prognosis, and low cumulative right ventricular pacing defined better survival. (C) 2012 Elsevier Inc. All rights reserved. (Am J Cardiol 2012;110:1040-1045)