914 resultados para label regression


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A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics

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INTRODUCTION: Malaria is a serious problem in the Brazilian Amazon region, and the detection of possible risk factors could be of great interest for public health authorities. The objective of this article was to investigate the association between environmental variables and the yearly registers of malaria in the Amazon region using Bayesian spatiotemporal methods. METHODS: We used Poisson spatiotemporal regression models to analyze the Brazilian Amazon forest malaria count for the period from 1999 to 2008. In this study, we included some covariates that could be important in the yearly prediction of malaria, such as deforestation rate. We obtained the inferences using a Bayesian approach and Markov Chain Monte Carlo (MCMC) methods to simulate samples for the joint posterior distribution of interest. The discrimination of different models was also discussed. RESULTS: The model proposed here suggests that deforestation rate, the number of inhabitants per km², and the human development index (HDI) are important in the prediction of malaria cases. CONCLUSIONS: It is possible to conclude that human development, population growth, deforestation, and their associated ecological alterations are conducive to increasing malaria risk. We conclude that the use of Poisson regression models that capture the spatial and temporal effects under the Bayesian paradigm is a good strategy for modeling malaria counts.

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The presented dissertation was developed within a partnership between Nova School of Business and Economics and the Portuguese retailer Sonae MC. The main objective of the study was to develop an analysis for the confectionary category to identify potential development opportunities for new Private Label products. In order to do so, the starting point was to understand how the confectionery market was behaving, followed by and understanding of Continente’s performance in that market. Aiming to point out development opportunities, the analysis was split between the subcategories – Chocolate, Chewing Gums and Sweets. The Subcategory performance was assessed in terms of sales, number of SKU’s, Private Label weight and it market position in terms of share. For the potential development opportunities a comparison between the top selling Branded Product and the competitors’ position was developed, in order to establish a reasonable size and retail price for such products. Key Word: Private Label, Branded Products, Continente, Sonae MC, Retail, SKU’s, Sales, Price, Market Share,

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Abstract: INTRODUCTION: Geographic information systems (GIS) enable public health data to be analyzed in terms of geographical variability and the relationship between risk factors and diseases. This study discusses the application of the geographic weighted regression (GWR) model to health data to improve the understanding of spatially varying social and clinical factors that potentially impact leprosy prevalence. METHODS: This ecological study used data from leprosy case records from 1998-2006, aggregated by neighborhood in the Duque de Caxias municipality in the State of Rio de Janeiro, Brazil. In the GWR model, the associations between the log of the leprosy detection rate and social and clinical factors were analyzed. RESULTS: Maps of the estimated coefficients by neighborhood confirmed the heterogeneous spatial relationships between the leprosy detection rates and the predictors. The proportion of households with piped water was associated with higher detection rates, mainly in the northeast of the municipality. Indeterminate forms were strongly associated with higher detections rates in the south, where access to health services was more established. CONCLUSIONS: GWR proved a useful tool for epidemiological analysis of leprosy in a local area, such as Duque de Caxias. Epidemiological analysis using the maps of the GWR model offered the advantage of visualizing the problem in sub-regions and identifying any spatial dependence in the local study area.

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Extreme value models are widely used in different areas. The Birnbaum–Saunders distribution is receiving considerable attention due to its physical arguments and its good properties. We propose a methodology based on extreme value Birnbaum–Saunders regression models, which includes model formulation, estimation, inference and checking. We further conduct a simulation study for evaluating its performance. A statistical analysis with real-world extreme value environmental data using the methodology is provided as illustration.

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O sector do calçado português apresenta excelentes indicadores económicos e um desempenho competitivo assinalável. Os últimos quatro anos foram particularmente fortes, tendo Portugal atingido o 11º lugar entre os 15 maiores exportadores mundiais, com o segundo preço mais elevado por par de sapato vendido, superado apenas pela Itália. O artigo analisa o tipo de inovação realizada pelas empresas consideradas inovadoras dentro do sector do calçado em Portugal, de acordo com o manual de Oslo, e analisa a evolução que as empresas fizeram ao passarem de um regime dominado pelo private label para o desenvolvimento de produtos, de coleções e de marcas próprias. A pesquisa foi de natureza qualitativa, envolvendo sete empresas com inovação, sendo realizado estudos de caso através de entrevistas semi-estruturadas, análise de documentos e visitas às empresas e aos seus processos produtivos e de criação. Os resultados obtidos na investigação evidenciam uma relação entre os indicadores económicos e de desempenho e a existência de determinadas categorias de inovação. Evidencia ainda a relação existente entre o regime de produção e os indicadores económicos das empresas.

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Supplementary data associated with this article can be found, in the online version, at: http://dx.doi.org/10.1016/j.electacta.2015.09.169.

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OBJECTIVE: To evaluate the efficacy and tolerability of telmisartan, given once a day to patients with mild to moderate hypertension, as well as to assess the 24-hour blood pressure profile with ABPM. METHODS: Initially, 163 patients over 18 were selected, regardless of sex, with blood pressure levels >140/90mmHg at visit 1, which was confirmed at visit 2. One hundred thirty-four patients completed the study. After a 4-week placebo run-in phase, telmisartan 40mg/daily was given for 6 weeks. In those patients whose blood pressure (BP) levels were lower than 140/90mmHg, the same dosage was kept for an additional period of 6 weeks. For those who had BP higher than 140/90mmHg, the dosage was increased to 80mg/daily. Sixty-two patients were included in a subgroup that underwent ABPM 3 different times during the study. RESULTS: In the overall group, blood pressure reduction ranged from 162.3±14.5/101.3±5.75 mmHg (baseline) to 147.3±20.1/90.8±10.9 mmHg (week 12) (p<0.05). Mean blood pressure decreases were 14.4mmHg for systolic BP and 10.3mmHg for diastolic BP, after 12 weeks of active treatment. A subanalysis showed that 47 (35%) patients took telmisartan 40mg throughout the study and 81 (65%) had the dosage increased to 80mg daily. Using ABPM, an 8-mmHg reduction in systolic BP as well as a 5-mmHg reduction in diastolic BP were observed, when compared with baseline values in the final 6 hours (18-24 hours after the last dose of study medication). CONCLUSION: Our results confirm that telmisartan given once a day is effective in reducing blood pressure levels in mild to moderate hypertensive patients. This reduction occurs in a sustained and gradual manner during a 24-hour period confirmed by ABPM.

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La explotación comercial de la llama facilita la aparición de patologías bacterianas y parasitarias que producen importantes pérdidas económicas. Su prevención y el tratamiento exigen establecer regímenes terapéuticos eficaces y seguros que eviten la aparición de resistencias. La ausencia de especialidades farmacéuticas propias para esta especie y la falta de información científica sobre el comportamiento de los fármacos de uso habitual en llamas, obligan al veterinario a establecer pautas terapéuticas “fuera de prospecto”, a partir de su experiencia en otras especies. Esto conlleva el riesgo de alcanzar o bien niveles tóxicos o bien sub-terapéuticos, estos últimos facilitan la aparición de resistencias bacterianas transmisibles a otras poblaciones. Pretendemos describir el comportamiento cinético de dos antimicrobianos de amplio espectro y uso exclusivo en veterinaria (enrofloxacina y marbofloxacina). Los datos obtenidos nos permitirán evaluar la seguridad y eficacia de diferentes regímenes terapéuticos que puedan dar respuesta a las necesidades clínicas en esta especie. El proyecto que abordamos se encuentra en una línea de aprovechamiento de los recursos naturales dentro de un espíritu de compromiso social, desarrollo sostenible, bienestar animal y salud pública.

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Background:Previous reports have inferred a linear relationship between LDL-C and changes in coronary plaque volume (CPV) measured by intravascular ultrasound. However, these publications included a small number of studies and did not explore other lipid markers.Objective:To assess the association between changes in lipid markers and regression of CPV using published data.Methods:We collected data from the control, placebo and intervention arms in studies that compared the effect of lipidlowering treatments on CPV, and from the placebo and control arms in studies that tested drugs that did not affect lipids. Baseline and final measurements of plaque volume, expressed in mm3, were extracted and the percentage changes after the interventions were calculated. Performing three linear regression analyses, we assessed the relationship between percentage and absolute changes in lipid markers and percentage variations in CPV.Results:Twenty-seven studies were selected. Correlations between percentage changes in LDL-C, non-HDL-C, and apolipoprotein B (ApoB) and percentage changes in CPV were moderate (r = 0.48, r = 0.47, and r = 0.44, respectively). Correlations between absolute differences in LDL-C, non‑HDL-C, and ApoB with percentage differences in CPV were stronger (r = 0.57, r = 0.52, and r = 0.79). The linear regression model showed a statistically significant association between a reduction in lipid markers and regression of plaque volume.Conclusion:A significant association between changes in different atherogenic particles and regression of CPV was observed. The absolute reduction in ApoB showed the strongest correlation with coronary plaque regression.

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Magdeburg, Univ., Fak. für Mathematik, Diss., 2010

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Magdeburg, Univ., Fak. für Informatik, Diss., 2012

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Magdeburg, Univ., Fak. für Mathematik, Diss., 2015