998 resultados para Comparative Modeling
Resumo:
Odds ratios for head and neck cancer increase with greater cigarette and alcohol use and lower body mass index (BMI; weight (kg)/height(2) (m(2))). Using data from the International Head and Neck Cancer Epidemiology Consortium, the authors conducted a formal analysis of BMI as a modifier of smoking- and alcohol-related effects. Analysis of never and current smokers included 6,333 cases, while analysis of never drinkers and consumers of < or =10 drinks/day included 8,452 cases. There were 8,000 or more controls, depending on the analysis. Odds ratios for all sites increased with lower BMI, greater smoking, and greater drinking. In polytomous regression, odds ratios for BMI (P = 0.65), smoking (P = 0.52), and drinking (P = 0.73) were homogeneous for oral cavity and pharyngeal cancers. Odds ratios for BMI and drinking were greater for oral cavity/pharyngeal cancer (P < 0.01), while smoking odds ratios were greater for laryngeal cancer (P < 0.01). Lower BMI enhanced smoking- and drinking-related odds ratios for oral cavity/pharyngeal cancer (P < 0.01), while BMI did not modify smoking and drinking odds ratios for laryngeal cancer. The increased odds ratios for all sites with low BMI may suggest related carcinogenic mechanisms; however, BMI modification of smoking and drinking odds ratios for cancer of the oral cavity/pharynx but not larynx cancer suggests additional factors specific to oral cavity/pharynx cancer.
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This paper uses an infinite hidden Markov model (IIHMM) to analyze U.S. inflation dynamics with a particular focus on the persistence of inflation. The IHMM is a Bayesian nonparametric approach to modeling structural breaks. It allows for an unknown number of breakpoints and is a flexible and attractive alternative to existing methods. We found a clear structural break during the recent financial crisis. Prior to that, inflation persistence was high and fairly constant.
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Les évidences s'accumulent concernant des problèmes de corrosion touchant les prothèses à col modulaires. Plusieurs études récentes révèlent des taux d'ions métalliques élevés. Le but de cette étude était de comparer les taux d'ions métalliques (Co, Cr, Mo, Ti), dans le sérum, chez des porteurs de prothèses à col modulaire, à tige monobloc, ainsi que sans implant. Méthodes Nous avons recruté 60 patients, dont 50 porteurs d'une PTH, unilatérale, sans aucun autre implant, non-cimentée, avec tête en céramique, à minimum 1 année postopératoire. Quarante avaient une tige SPS (Symbios) (Ti6Al4 V) modulaire (col en CoCr) et 10 une SPS monobloc (non-modulaire). Les cupules étaient toutes en alliage de Ti (Ti6Al4 V) avec insert céramique ou PE. Nous avons constitué un groupe témoin sans aucun implant. Dans le groupe o modulaires O, le col a été choisi en préopératoire sur la base d'une planification 3D et assemblé à sec avant implantation. Nous avons prélevé un échantillon sérique, un autre sanguin, qui ont été analysés par spectrométrie de masse, permettant une détermination atomique quantitative. Le résultat clinique a été estimé à l'aide du o Oxford Hip Score O. Résultats Nous avons trouvé un Co sérique moyen à 1,54 Ig L dans le groupe O modulaires O et à 0,32 Ig L dans le groupe o monobloc O avec un p < 0,001. Pour le Cr, on a 1,12 Ig L (modulaires) vs 0,60 Ig L (monoblocs) avec un p < 0,001, pour le Ti 31 Ig L (modulaires) vs 22 Ig L (monoblocs) avec p < 0,001 et pour le Mo, 0,96 Ig L (modulaires) vs 0,74 (monoblocs) avec p = 0,254. Deux patients avaient des valeurs de Co supérieures à 7 Ig L et 11 étaient au-dessus de 1 Ig L, valeur considérée comme limite. Les valeurs dans le sang complet étaient similaires. Nous n'avons pas trouvé de différence significative selon les types de col modulaires (longs vs courts et rétro vs normaux). Curieusement, le taux de Cr était significativement plus élevé chez les patients sans aucun implant que chez les porteurs de SPS monobloc, par contre les différences n'étaient pas significatives pour les autres éléments. Conclusion Les taux sériques et sanguins de ions Co, Cr et Ti étaient significativement plus élevés dans le groupe des patients avec col modulaire, avec 2 valeurs 40 extrêmement hautes et plus de la moitié (11 40) anormalement hautes. Bien que ces valeurs soient inférieures à celles d'autres études, nous avons arrêter d'utiliser de tiges à cols modulaires, et avons initié un suivi annuel des patients porteurs, similaire à celui instauré pour les grosses têtes métal-métal.
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INTRODUCTION: Many clinical practice guidelines (CPG) have been published in reply to the development of the concept of "evidence-based medicine" (EBM) and as a solution to the difficulty of synthesizing and selecting relevant medical literature. Taking into account the expansion of new CPG, the question of choice arises: which CPG to consider in a given clinical situation? It is of primary importance to evaluate the quality of the CPG, but until recently, there has been no standardized tool of evaluation or comparison of the quality of the CPG. An instrument of evaluation of the quality of the CPG, called "AGREE" for appraisal of guidelines for research and evaluation was validated in 2002. AIM OF THE STUDY: The six principal CPG concerning the treatment of schizophrenia are compared with the help of the "AGREE" instrument: (1) "the Agence nationale pour le développement de l'évaluation médicale (ANDEM) recommendations"; (2) "The American Psychiatric Association (APA) practice guideline for the treatment of patients with schizophrenia"; (3) "The quick reference guide of APA practice guideline for the treatment of patients with schizophrenia"; (4) "The schizophrenia patient outcomes research team (PORT) treatment recommendations"; (5) "The Texas medication algorithm project (T-MAP)" and (6) "The expert consensus guideline for the treatment of schizophrenia". RESULTS: The results of our study were then compared with those of a similar investigation published in 2005, structured on 24 CPG tackling the treatment of schizophrenia. The "AGREE" tool was also used by two investigators in their study. In general, the scores of the two studies differed little and the two global evaluations of the CPG converged; however, each of the six CPG is perfectible. DISCUSSION: The rigour of elaboration of the six CPG was in general average. The consideration of the opinion of potential users was incomplete, and an effort made in the presentation of the recommendations would facilitate their clinical use. Moreover, there was little consideration by the authors regarding the applicability of the recommendations. CONCLUSION: Globally, two CPG are considered as strongly recommended: "the quick reference guide of the APA practice guideline for the treatment of patients with schizophrenia" and "the T-MAP".
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This study examines the impact of globalization on cross-country inequality and poverty using a panel data set for 65 developing counties, over the period 1970-2008. With separate modelling for poverty and inequality, explicit control for financial intermediation, and comparative analysis for developing countries, the study attempts to provide a deeper understanding of cross country variations in income inequality and poverty. The major findings of the study are five fold. First, a non-monotonic relationship between income distribution and the level of economic development holds in all samples of countries. Second, both openness to trade and FDI do not have a favourable effect on income distribution in developing countries. Third, high financial liberalization exerts a negative and significant influence on income distribution in developing countries. Fourth, inflation seems to distort income distribution in all sets of countries. Finally, the government emerges as a major player in impacting income distribution in developing countries.
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In recent years, multi-atlas fusion methods have gainedsignificant attention in medical image segmentation. Inthis paper, we propose a general Markov Random Field(MRF) based framework that can perform edge-preservingsmoothing of the labels at the time of fusing the labelsitself. More specifically, we formulate the label fusionproblem with MRF-based neighborhood priors, as an energyminimization problem containing a unary data term and apairwise smoothness term. We present how the existingfusion methods like majority voting, global weightedvoting and local weighted voting methods can be reframedto profit from the proposed framework, for generatingmore accurate segmentations as well as more contiguoussegmentations by getting rid of holes and islands. Theproposed framework is evaluated for segmenting lymphnodes in 3D head and neck CT images. A comparison ofvarious fusion algorithms is also presented.
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This paper extends previous research and discussion on the use of multivariate continuous data, which are about to become more prevalent in forensic science. As an illustrative example, attention is drawn here on the area of comparative handwriting examinations. Multivariate continuous data can be obtained in this field by analysing the contour shape of loop characters through Fourier analysis. This methodology, based on existing research in this area, allows one describe in detail the morphology of character contours throughout a set of variables. This paper uses data collected from female and male writers to conduct a comparative analysis of likelihood ratio based evidence assessment procedures in both, evaluative and investigative proceedings. While the use of likelihood ratios in the former situation is now rather well established (typically, in order to discriminate between propositions of authorship of a given individual versus another, unknown individual), focus on the investigative setting still remains rather beyond considerations in practice. This paper seeks to highlight that investigative settings, too, can represent an area of application for which the likelihood ratio can offer a logical support. As an example, the inference of gender of the writer of an incriminated handwritten text is forwarded, analysed and discussed in this paper. The more general viewpoint according to which likelihood ratio analyses can be helpful for investigative proceedings is supported here through various simulations. These offer a characterisation of the robustness of the proposed likelihood ratio methodology.
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Currently, financial economics is unable to predict changes in asset prices with respect to changes in the underlying risk factors, even when an asset's dividend is independent of a given factor. This paper takes steps towards addressing this issue by highlighting a crucial component of wealth effects on asset prices hitherto ignored by the literature. Changes in wealth do not only alter an agents risk aversion, but also her perceived 'riskiness' of a security. The latter enhances significantly the extent to which market- clearing leads to endogenously-generated correlation across asset prices, over and above that induced by correlation between payoffs, giving the appearance of 'contagion.'
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Host blood source was found to affect both the development and the reproductive performance of Rhodnius prolixus. The insects were reared on citrated human, rabbit, chicken, sheep and horse blood sources, through a membrane feeder, during an entire life cycle, from eggs to adults. Development and reproduction in terms of the number of unfed insects, number of moulting, mortality intermoulting period, number of egg/female, conversion of blood into egg (mg meal/egg) and percentage of hatch as effective physiological parameters were investigated. Our results showed that human or rabbit blood meals were more nutritionally efficient than the other blood samples used because (i) the insects developed faster, presented low mortality and about 80% of them reached the adult stage; and (ii) females oviposited an average of at least 100% more eggs. The inefficiency of chicken and horse blood sources as diets for R. prolixus was manifested in (i) a decrease of the amount of ingested blood and (ii) only a reasonable nutritional quality. The inadequacy of sheep blood was observed by a mortality extremely high, poor moulting response and drastic reduction in egg production.
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We study the asymmetric and dynamic dependence between financial assets and demonstrate, from the perspective of risk management, the economic significance of dynamic copula models. First, we construct stock and currency portfolios sorted on different characteristics (ex ante beta, coskewness, cokurtosis and order flows), and find substantial evidence of dynamic evolution between the high beta (respectively, coskewness, cokurtosis and order flow) portfolios and the low beta (coskewness, cokurtosis and order flow) portfolios. Second, using three different dependence measures, we show the presence of asymmetric dependence between these characteristic-sorted portfolios. Third, we use a dynamic copula framework based on Creal et al. (2013) and Patton (2012) to forecast the portfolio Value-at-Risk of long-short (high minus low) equity and FX portfolios. We use several widely used univariate and multivariate VaR models for the purpose of comparison. Backtesting our methodology, we find that the asymmetric dynamic copula models provide more accurate forecasts, in general, and, in particular, perform much better during the recent financial crises, indicating the economic significance of incorporating dynamic and asymmetric dependence in risk management.
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We investigate the dynamic and asymmetric dependence structure between equity portfolios from the US and UK. We demonstrate the statistical significance of dynamic asymmetric copula models in modelling and forecasting market risk. First, we construct “high-minus-low" equity portfolios sorted on beta, coskewness, and cokurtosis. We find substantial evidence of dynamic and asymmetric dependence between characteristic-sorted portfolios. Second, we consider a dynamic asymmetric copula model by combining the generalized hyperbolic skewed t copula with the generalized autoregressive score (GAS) model to capture both the multivariate non-normality and the dynamic and asymmetric dependence between equity portfolios. We demonstrate its usefulness by evaluating the forecasting performance of Value-at-Risk and Expected Shortfall for the high-minus-low portfolios. From back-testing, e find consistent and robust evidence that our dynamic asymmetric copula model provides the most accurate forecasts, indicating the importance of incorporating the dynamic and asymmetric dependence structure in risk management.
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When we ask ourselves about a concrete definition of “Natural Capital” we can find a large and wide range of conceptions, which are attached to it. These can turn out to be confusing and contradictory in some cases. In theory, through books and different studies we know natural resources are composed by all the natural actives originated by the nature itself. Besides, these conform a patrimony for society as them are translated into a path towards economy: The Natural Capital. May not the Natural Capital be an easy conception to put in terms of economy it turns out to be an important capacitor for economy growth in most countries. In any case, we can clearly distinguish two ways as Natural Capital can be seen. One may elaborate a definition about it by reading what others have previously written, those who usually are quite far from the direct use of natural resources. On the other hand it would also be interesting to conform a definition of it by asking people who are constantly in contact with natural resources and consequently contribute to form the Natural Capital.
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Red blood cell (RBC) parameters such as morphology, volume, refractive index, and hemoglobin content are of great importance for diagnostic purposes. Existing approaches require complicated calibration procedures and robust cell perturbation. As a result, reference values for normal RBC differ depending on the method used. We present a way for measuring parameters of intact individual RBCs by using digital holographic microscopy (DHM), a new interferometric and label-free technique with nanometric axial sensitivity. The results are compared with values achieved by conventional techniques for RBC of the same donor and previously published figures. A DHM equipped with a laser diode (lambda = 663 nm) was used to record holograms in an off-axis geometry. Measurements of both RBC refractive indices and volumes were achieved via monitoring the quantitative phase map of RBC by means of a sequential perfusion of two isotonic solutions with different refractive indices obtained by the use of Nycodenz (decoupling procedure). Volume of RBCs labeled by membrane dye Dil was analyzed by confocal microscopy. The mean cell volume (MCV), red blood cell distribution width (RDW), and mean cell hemoglobin concentration (MCHC) were also measured with an impedance volume analyzer. DHM yielded RBC refractive index n = 1.418 +/- 0.012, volume 83 +/- 14 fl, MCH = 29.9 pg, and MCHC 362 +/- 40 g/l. Erythrocyte MCV, MCH, and MCHC achieved by an impedance volume analyzer were 82 fl, 28.6 pg, and 349 g/l, respectively. Confocal microscopy yielded 91 +/- 17 fl for RBC volume. In conclusion, DHM in combination with a decoupling procedure allows measuring noninvasively volume, refractive index, and hemoglobin content of single-living RBCs with a high accuracy.
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PECUBE is a three-dimensional thermal-kinematic code capable of solving the heat production-diffusion-advection equation under a temporally varying surface boundary condition. It was initially developed to assess the effects of time-varying surface topography (relief) on low-temperature thermochronological datasets. Thermochronometric ages are predicted by tracking the time-temperature histories of rock-particles ending up at the surface and by combining these with various age-prediction models. In the decade since its inception, the PECUBE code has been under continuous development as its use became wider and addressed different tectonic-geomorphic problems. This paper describes several major recent improvements in the code, including its integration with an inverse-modeling package based on the Neighborhood Algorithm, the incorporation of fault-controlled kinematics, several different ways to address topographic and drainage change through time, the ability to predict subsurface (tunnel or borehole) data, prediction of detrital thermochronology data and a method to compare these with observations, and the coupling with landscape-evolution (or surface-process) models. Each new development is described together with one or several applications, so that the reader and potential user can clearly assess and make use of the capabilities of PECUBE. We end with describing some developments that are currently underway or should take place in the foreseeable future. (C) 2012 Elsevier B.V. All rights reserved.