962 resultados para Logit fixed effect model


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Le capital humain d’un pays est un facteur important de sa croissance et de son développement à long terme. Selon l’Unicef, ce capital humain est constitué en donnant à chaque enfant un bon départ dans la vie : non seule- ment la possibilité de survivre, mais aussi les conditions nécessaires pour se développer et réaliser tout son potentiel. Malheureusement, cet état de fait est loin d’être une réalité en Afrique Subsaharienne. En effet, selon toujours l’Unicef et sur la base d’enquêtes ménages dans 21 pays d’Afrique de l’Ouest et du Centre, c’est près de 32 millions d’enfants qui ont l’âge officiel d’être scolarisés, mais qui ne le sont pas. A ces chiffres, il faut ajouter 17 millions d’enfants scolarisés qui risquent fortement l’exclusion. De son Côté, l’OMS pointe du doigt la mauvaise santé des enfants dans cette région. Ainsi, les décès d’enfants sont de plus en plus concentrés en Afrique subsaharienne où les enfants ont plus de 15 fois plus de risques de mourir avant l’âge de cinq ans que les enfants des régions développées. Les difficultés économiques apparaissent comme la première explication des obstacles à l’amélioration du bien être des enfants aussi bien du côté de l’offre que de la demande. Cette thèse relie trois essais sur d’une part le lien entre conflit armés, l’éducation et la mortalité des enfants et d’autre part sur le lien entre fertilité et éducation des enfants en milieu urbain. Le premier chapitre identifie l’impact de la crise politico-militaire de la Côte d’Ivoire sur le bien être des enfants, en particulier sur l’éducation et la mor- talité infanto-juvénile en exploitant la variation temporelle et géographique de la crise. Il ressort de cette analyse que les individus qui vivaient dans les régions de conflit et qui ont atteint durant la crise, l’âge officiel d’entrer à l’école ont 10% moins de chance d’être inscrits à l’école. Les élèves qui habitaient dans des régions de conflit pendant la crise ont subit une diminu- tion du nombre d’années scolaire d’au moins une année. Les élèves les plus v vi âgés et qui sont susceptibles d’être au secondaire ont connu une décroissance du nombre d’année scolaire d’au moins deux années. Il ressort également que la crise ivoirienne a accru la mortalité infanto-juvénile d’au moins 3%. Mes résultats suggèrent également que la détérioration des conditions de vie et la limitation de l’utilisation des services de santé au cours du conflit con- tribuent à expliquer ces effets négatifs. Des tests de robustesse incluant un test de placebo suggèrent que les résultats ne sont pas dus à des différences préexistantes entre les régions affectées par le conflit et celles non affectées. Le deuxième chapitre étudie les disparités intra-urbaines en matière d’arbitrage entre le nombre d’enfant et la scolarisation des enfants en se focalisant sur le cas de Ouagadougou (Capitale du Burkina Faso). Dans cette ville, au moins 33% des deux millions d’habitants vivent dans des zones informelles (appelées localement des zones non-loties). Cette sous-population manque d’infrastructures socioéconomiques de base et a un niveau d’éducation très bas. Dans ce chapitre, prenant en compte la possible endogénéité du nombre d’enfants et en utilisant une approche "two-step control function" avec des modèles Probit, nous investiguons les différences de comportement des mé- nages en matière de scolarisation entre zones formelles et zones informelles. Nous nous focalisons en particulier sur l’arbitrage entre la "quantité" et la "qualité" des enfants. Compte tenu de l’hétérogénéité des deux types de zones, nous utilisons les probabilités prédites pour les comparer. Nos princi- pales conclusions sont les suivantes. Tout d’abord, nous trouvons un impact négatif de la taille de la famille sur le niveau de scolarisation dans les deux types de zone. Cependant, nous constatons que l’impact est plus aigu dans les zones informelles. Deuxièmement, si nous supposons que le caractère en- dogène du nombre d’enfants est essentiellement due à la causalité inverse, les résultats suggèrent que dans les zones formelles les parents tiennent compte de la scolarisation des enfants dans la décision de leur nombre d’enfants, mais ce ne est pas le cas dans les zones informelles. Enfin, nous constatons que, pour des familles avec les mêmes caractéristiques observables, la probabilité d’atteindre le niveau post-primaire est plus élevée dans les zones formelles que dans les zones informelles. En terme d’implications politique, selon ces résultats, les efforts pour améliorer la scolarisation des enfants ne doivent pas être dirigées uniquement vers les zones rurales. En plus de réduire les frais de scolarité dans certaines zones urbaines, en particulier les zones informelles, un accent particulier devrait être mis sur la sensibilisation sur les avantages de l’éducation pour le bien-être des enfants et leur famille. Enfin, du point vii de vue méthodologique, nos résultats montrent l’importance de tenir compte de l’hétérogénéité non observée entre les sous-populations dans l’explication des phénomènes socio-économiques. Compte tenu du lien négatif entre la taille de la famille et la scolarisation des enfants d’une part et les différences intra-urbaines de comportement des ménages en matière de scolarisation, le trosième chapitre étudie le rôle des types de méthodes contraceptives dans l’espacement des naissances en mi- lieu urbain. Ainsi, en distinguant les méthodes modernes et traditionnelles et en utilisant l’histoire génétique des femmes, ce chapitre fait ressortir des différences de comportement en matière de contraception entre les femmes des zones formelles et informelles à Ouagadougou (capitale du Burkina Faso). Les résultats montrent que les deux types de méthodes contraceptives aug- mentent l’écart des naissances et diminuent la probabilité qu’une naissance se produise moins de 24 mois après la précédente. Prendre en compte les caractéristiques non observées mais invariants avec le temps ne modifie pas significativement l’amplitude du coefficient de l’utilisation de la contracep- tion moderne dans les deux types de zone. Toutefois, dans la zone informelle, la prise en compte les effets fixes des femmes augmentent significativement l’effet des méthodes traditionnelles. Les normes sociales, la perception de la planification familiale et le rôle du partenaire de la femme pourraient expli- quer ces différences de comportement entre les zones formelles et informelles. Par conséquent, pour améliorer l’utilisation de la contraception et de leur efficacité, il est essentiel de hiérarchiser les actions en fonction du type de sous-population, même dans les zones urbaines.

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Introducción: A través de los años se ha reconocido como la principal causa de enfermedades complejas, como lo son las enfermedades autoinmunes (EAI), la interacción entre los factores genéticos, los epigenéticos y el ambiente. Dentro de los factores ambientales están los solventes orgánicos (SO), compuestos químicos ampliamente utilizados en lavanderías (ej. tetracloroetileno, percloroetileno), pinturas (ej. tolueno y turpentina), removedores de esmalte para uñas, pegamentos (ej. acetona, metil acetato, etil acetato), removedores de manchas (ej. hexano, petróleo, eter), detergentes (ej. citrus terpeno), perfumes (etanol), y en la síntesis de esmaltes, entre otros. Teniendo en cuenta la controversia que existe aún sobre la asociación entre los SO y las EAI, evaluamos la evidencia a través de una revisión sistemática de la literatura y un meta-análisis. Métodos y resultados: La búsqueda sistemática se hizo en el PubMed, SCOPUS , SciELO y LILACS con artículos publicados hasta febrero de 2012. Se incluyó cualquier tipo de estudio que utilizara criterios aceptados para la definición de EAI y que tuvieran información sobre la exposición SO. De un total de 103 artículos, 33 fueron finalmente incluidos en el meta -análisis. Los OR e intervalos de confianza del 95 % (IC) se obtuvieron mediante el modelo de efectos aleatorios. Un análisis de sensibilidad confirmó que los resultados no son susceptibles a la limitación de los datos incluidos. El sesgo de publicación fue trivial. La exposición a SO se asoció a esclerosis sistémica, vasculitis primaria y esclerosis múltiple de forma individual y también para todas las EAI consideradas como un rasgo común (OR: 1.54 , IC 95 % : 1,25 a 1,92 ; valor de p 0.001). Conclusión: La exposición a SO es un factor de riesgo para el desarrollo de EAI. Como corolario, los individuos con factores de riesgo no modificables (es decir, autoinmunidad familiar o con factores genéticos identificados) deben evitar toda exposición a SO con el fin de evitar que aumente su riesgo de desarrollar una EAI.

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Background: Genetic and epigenetic factors interacting with the environment over time are the main causes of complex diseases such as autoimmune diseases (ADs). Among the environmental factors are organic solvents (OSs), which are chemical compounds used routinely in commercial industries. Since controversy exists over whether ADs are caused by OSs, a systematic review and meta-analysis were performed to assess the association between OSs and ADs. Methods and Findings: The systematic search was done in the PubMed, SCOPUS, SciELO and LILACS databases up to February 2012. Any type of study that used accepted classification criteria for ADs and had information about exposure to OSs was selected. Out of a total of 103 articles retrieved, 33 were finally included in the meta-analysis. The final odds ratios (ORs) and 95% confidence intervals (CIs) were obtained by the random effect model. A sensitivity analysis confirmed results were not sensitive to restrictions on the data included. Publication bias was trivial. Exposure to OSs was associated to systemic sclerosis, primary systemic vasculitis and multiple sclerosis individually and also to all the ADs evaluated and taken together as a single trait (OR: 1.54; 95% CI: 1.25-1.92; p-value, 0.001). Conclusion: Exposure to OSs is a risk factor for developing ADs. As a corollary, individuals with non-modifiable risk factors (i.e., familial autoimmunity or carrying genetic factors) should avoid any exposure to OSs in order to avoid increasing their risk of ADs.

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Objectives: to evaluate the efficacy and safety of human immunoglobulin versus plasmapheresis in the management of autoimmune neurologic diseases. Likewise, length of hospital stay and duration of ventilator support were compared. Methods: Randomized controlled trials and analytical observational studies of more than 10 cases, were reviewed. Cochrane Neuromuscular Disease Group trials, MEDLINE, EMBASE, HINARI Ovid, the Database of abstracts of reviews of effectiveness and the Economic evaluation Database were searched as data source. Reference lists were examined for further relevant articles. A random-effect model was used to derive a pooled risk ratio. Results: 725 articles were found and 27 met the criteria for a population studied of 4717 cases: 14 articles were about Guillain Barré syndrome, 10 of Myasthenia Gravis, one of Sydenham Chorea, one of Chronic inflammatory demyelinating polyneuropathy, and one of PANDAS. No evidence was found in favor of any of the two treatments as regards effectiveness (OR 0.94, IC 0.63 – 1.41, p= 0.77) or ventilator support time; IGIV had a significant better safety profile than plasmapheresis (OR 0.70, IC 0.51 – 0.96, p= 0.03) and patients needed less time of hospital stay (p=0.03). Conclusions: There is no evidence for superiority in the effectiveness of immunoglobulin or plasmapheresis in the management of autoimmune neurologic diseases. Nevertheless, patients treated with immunoglobulin have statistically significant less adverse effects, a shorter hospital stay and a tendency of less ventilator support time. These premises could lead to fewer costs for health services but an economic study should be done.

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Introducción. En el presente trabajo se pretende identificar los factores psicosociales laborales asociados con el bienestar del trabajador en investigaciones realizadas en Colombia y España, durante el periodo 2002 – 2012. Objetivo. Este trabajo tiene como fin, precisar sobre el desarrollo investigativo en lo referente a los factores psicosociales y su relación con el bienestar, de los trabajadores en Colombia y España durante el período 2002-2012, por medio de los estudios encontrados sobre factores psicosociales y su impacto benéfico en el bienestar del trabajador, marco legal de ambos países, así como también, la revisión documental, consolidación y posterior análisis de la literatura, en torno al estado del arte del presente estudio en relación a los factores psicosociales laborales. Método. Se trata de un estudio documental, realizado por medio, de una revisión de literatura en las bases de datos y posterior selección, clasificación, consolidación, sistematización y análisis de los estudios de investigación encontrados, los cuales, analizaban aspectos relacionados con los factores psicosociales y su relación con el bienestar del trabajador en Colombia y España, durante el período 2002-2012. Resultados. En la revisión documental se evidenció que los estudios referentes a los factores psicosociales y su relación con el bienestar del trabajador, representa un importante y permanente reto para las organizaciones. De la misma manera, se destacan los avances que sobre dicha relación presenta España, pues, en Colombia, aun los estudios siguen direccionados hacia los factores de riesgo o perjudiciales, más que hacia factores protectores o de bienestar, generadores de un efecto benéfico en los trabajadores y por ende en la organización.

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A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and diagonal covariance matrix, by minimizing a leave-one-out test criterion. The kernel mixing weights of the constructed sparse density estimate are finally updated using the multiplicative nonnegative quadratic programming algorithm to ensure the nonnegative and unity constraints, and this weight-updating process additionally has the desired ability to further reduce the model size. The proposed tunable-kernel model has advantages, in terms of model generalization capability and model sparsity, over the standard fixed-kernel model that restricts kernel centers to the training data points and employs a single common kernel variance for every kernel. On the other hand, it does not optimize all the model parameters together and thus avoids the problems of high-dimensional ill-conditioned nonlinear optimization associated with the conventional finite mixture model. Several examples are included to demonstrate the ability of the proposed novel tunable-kernel model to effectively construct a very compact density estimate accurately.

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This paper investigates whether obtaining sustainable building certification entails a rental premium for commercial office buildings and tracks its development over time. To this aim, both a difference-in-differences and a fixed-effects model approach are applied to a large panel dataset of office buildings in the United States in the 2000–2010 period. The results indicate a significant rental premium for both ENERGY STAR and LEED certified buildings. Controlling for confounding factors, this premium is shown to have increased steadily from 2006 to 2008, followed by a moderate decline in the subsequent periods. The results also show a significant positive relationship between ENERGY STAR labeling and building occupancy rates.

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This paper evaluates the extent to which the performance of English Premier League football club managers can be attributed to skill or luck when measured separately from the characteristics of the team. We first use a specification that models managerial skill as a fixed effect and we examine the relationship between the number of points earned in league matches and the club’s wage bill, transfer spending, and the extent to which they were hit by absent players through injuries, suspensions or unavailability. We next implement a bootstrapping approach to generate a simulated distribution of average points that could have taken place after the impact of the manager has been removed. The findings suggest that there are a considerable number of highly skilled managers but also several who perform below expectations. The paper proceeds to illustrate how the approach adopted could be used to determine the optimal time for a club to part company with its manager. We are able to identify in advance several managers who the analysis suggests could have been fired earlier and others whose sackings were hard to justify based on their performances.

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The authors provide an analytic framework for studying the joint influence of personal achievement goals and classroom goal structures on achievement-relevant outcomes. This framework encompasses 3 models (the direct effect model, indirect effect model, and interaction effect model), each of which addresses a different aspect of the joint influence of the 2 goal levels. These 3 models were examined together with a sample of 1,578 Japanese junior high and high school students from 47 classrooms. Results provided support for each of the 3 models: Classroom goal structures were not only direct, but also indirect predictors of intrinsic motivation and academic self-concept, and some cross-level interactions between personal achievement goals and classroom goal structures were observed (indicating both goal match and goal mismatch effects). A call is made for more research that takes into consideration achievement goals at both personal and structural levels of representation. (PsycINFO Database Record (c) 2012 APA, all rights reserved)(journal abstract)

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There are now many reports of imaging experiments with small cohorts of typical participants that precede large-scale, often multicentre studies of psychiatric and neurological disorders. Data from these calibration experiments are sufficient to make estimates of statistical power and predictions of sample size and minimum observable effect sizes. In this technical note, we suggest how previously reported voxel-based power calculations can support decision making in the design, execution and analysis of cross-sectional multicentre imaging studies. The choice of MRI acquisition sequence, distribution of recruitment across acquisition centres, and changes to the registration method applied during data analysis are considered as examples. The consequences of modification are explored in quantitative terms by assessing the impact on sample size for a fixed effect size and detectable effect size for a fixed sample size. The calibration experiment dataset used for illustration was a precursor to the now complete Medical Research Council Autism Imaging Multicentre Study (MRC-AIMS). Validation of the voxel-based power calculations is made by comparing the predicted values from the calibration experiment with those observed in MRC-AIMS. The effect of non-linear mappings during image registration to a standard stereotactic space on the prediction is explored with reference to the amount of local deformation. In summary, power calculations offer a validated, quantitative means of making informed choices on important factors that influence the outcome of studies that consume significant resources.

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he perspective European Supergrid would consist of an integrated power system network, where electricity demands from one country could be met by generation from another country. This paper makes use of a bi-linear fixed-effects model to analyse the determinants for trading electricity across borders among 34 countries connected by the European Supergrid. The key question that this paper aims to address is the extent to which the privatisation of European electricity markets has brought about higher cross-border trade of electricity. The analysis makes use of distance, price ratios, gate closure times, size of peaks and aggregate demand as standard determinants. Controlling for other standard determinants, it is concluded that privatisation in most cases led to higher power exchange and that the benefits are more significant where privatisation measures have been in place for a longer period.

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This paper uses a panel data-fixed effect approach and data collected from Chinese public manufacturing firms between 1999 and 2011 to investigate the impacts of business life cycle stages on capital structure. We find that cash flow patterns capture more information on business life cycle stages than firm age and have a stronger impact on capital structure decision-making. We also find that the adjustment speed of capital structure varies significantly across life cycle stages and that non-sequential transitions over life cycle stages play an important role in the determination of capital structure. Our study indicates that it is important for policy-makers to ensure that products and financial markets are well-balanced.

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This paper describes a novel on-line learning approach for radial basis function (RBF) neural network. Based on an RBF network with individually tunable nodes and a fixed small model size, the weight vector is adjusted using the multi-innovation recursive least square algorithm on-line. When the residual error of the RBF network becomes large despite of the weight adaptation, an insignificant node with little contribution to the overall system is replaced by a new node. Structural parameters of the new node are optimized by proposed fast algorithms in order to significantly improve the modeling performance. The proposed scheme describes a novel, flexible, and fast way for on-line system identification problems. Simulation results show that the proposed approach can significantly outperform existing ones for nonstationary systems in particular.

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[1] The retrieval of aerosol optical depth (Ta) over land by satellite remote sensing is still a challenge when a high spatial resolution is required. This study presents a tool that uses satellite measurements to dynamically identify the aerosol optical model that best represents the optical properties of the aerosol present in the atmosphere. We use aerosol critical reflectance to identify the single scattering albedo of the aerosol layer. Two case studies show that the Sao Paulo region can have different aerosol properties and demonstrates how the dynamic methodology works to identify those differences to obtain a better T a retrieval. The methodology assigned the high single scattering albedo aerosol model (pi o( lambda = 0.55) = 0.90) to the case where the aerosol source was dominated by biomass burning and the lower pi(o) model (pi(o) (lambda = 0.55) = 0.85) to the case where the local urban aerosol had the dominant influence on the region, as expected. The dynamic methodology was applied using cloud-free data from 2002 to 2005 in order to retrieve Ta with Moderate Resolution Imaging Spectroradiometer ( MODIS). These results were compared with collocated data measured by AERONET in Sao Paulo. The comparison shows better results when the dynamic methodology using two aerosol optical models is applied (slope 1.06 +/- 0.08 offset 0.01 +/- 0.02 r(2) 0.6) than when a single and fixed aerosol model is used (slope 1.48 +/- 0.11 and offset - 0.03 +/- 0.03 r(2) 0.6). In conclusion the dynamical methodology is shown to work well with two aerosol models. Further studies are necessary to evaluate the methodology in other regions and under different conditions.

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Backgound and aims: The main purpose of the PEDAL study is to identify and estimate sample individual pharmacokinetic- pharmacodynamic (PK/PD) models for duodenal infusion of levodopa/carbidopa (Duodopa®) that can be used for in numero simulation of treatment strategies. Other objectives are to study the absorption of Duodopa® and to form a basis for power calculation for a future larger study. PK/PD based on oral levodopa is problematic because of irregular gastric emptying. Preliminary work with data from [Gundert-Remy U et al. Eur J Clin Pharmacol 1983;25:69-72] suggested that levodopa infusion pharmacokinetics can be described by a two-compartment model. Background research led to a hypothesis for an effect model incorporating concentration-unrelated fluctuations, more complex than standard E-max models. Methods: PEDAL involved a few patients already on Duodopa®. A bolus dose (normal morning dose plus 50%) was given after a washout during night. Data collection continued until the clinical effect was back at baseline. The procedure was repeated on two non-consecutive days per patient. The following data were collected in 5 to 15 minutes intervals: i) Accelerometer data. ii) Three e-diary questions about ability to walk, feelings of “off” and “dyskinesia”. iii) Clinical assessment of motor function by a physician. iv) Plasma concentrations of levodopa, carbidopa and the metabolite 3-O-methyldopa. The main effect variable will be the clinical assessment. Results: At date of abstract submission, lab analyses were currently being performed. Modelling results, simulation experiments and conclusions will be presented in our poster.