912 resultados para Gee, John


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We have identified a migraine locus on chromosome 19p13.3/2 using linkage and association analysis. We isolated 48 single-nucleotide polymorphisms within the locus, of which we genotyped 24 in a Caucasian population comprising 827 unrelated cases and 765 controls. Five single-nucleotide polymorphisms within the insulin receptor gene showed significant association with migraine. This association was independently replicated in a case-control population collected separately. We used experiments with insulin receptor RNA and protein to investigate functionality for the migraine-associated single-nucleotide polymorphisms. We suggest possible functions for the insulin receptor in migraine pathogenesis.

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Obituary on the death of Lou Reed, member of The Velvet Underground and acclaimed solo artist.

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This review essay combines the comments made by David Brown, Russell Hogg and Mark Finanne at the Crime, Justice and Social Democracy: 2nd International Conference July 2013. It is followed by a rejoinder by the two authors John Pratt and Anna Eriksson.

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An Interview with John Rajchman, Department of Art History, Columbia University, on Architecture, Deleuze and Foucault at his apartment, Riverside Drive, New York City, February 10, 2003.

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The distinguished Australian architect surveys his career and examines how his architectural theories are expressed in his designs.

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The method of generalized estimating equations (GEEs) provides consistent estimates of the regression parameters in a marginal regression model for longitudinal data, even when the working correlation model is misspecified (Liang and Zeger, 1986). However, the efficiency of a GEE estimate can be seriously affected by the choice of the working correlation model. This study addresses this problem by proposing a hybrid method that combines multiple GEEs based on different working correlation models, using the empirical likelihood method (Qin and Lawless, 1994). Analyses show that this hybrid method is more efficient than a GEE using a misspecified working correlation model. Furthermore, if one of the working correlation structures correctly models the within-subject correlations, then this hybrid method provides the most efficient parameter estimates. In simulations, the hybrid method's finite-sample performance is superior to a GEE under any of the commonly used working correlation models and is almost fully efficient in all scenarios studied. The hybrid method is illustrated using data from a longitudinal study of the respiratory infection rates in 275 Indonesian children.

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Selecting an appropriate working correlation structure is pertinent to clustered data analysis using generalized estimating equations (GEE) because an inappropriate choice will lead to inefficient parameter estimation. We investigate the well-known criterion of QIC for selecting a working correlation Structure. and have found that performance of the QIC is deteriorated by a term that is theoretically independent of the correlation structures but has to be estimated with an error. This leads LIS to propose a correlation information criterion (CIC) that substantially improves the QIC performance. Extensive simulation studies indicate that the CIC has remarkable improvement in selecting the correct correlation structures. We also illustrate our findings using a data set from the Madras Longitudinal Schizophrenia Study.

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The approach of generalized estimating equations (GEE) is based on the framework of generalized linear models but allows for specification of a working matrix for modeling within-subject correlations. The variance is often assumed to be a known function of the mean. This article investigates the impacts of misspecifying the variance function on estimators of the mean parameters for quantitative responses. Our numerical studies indicate that (1) correct specification of the variance function can improve the estimation efficiency even if the correlation structure is misspecified; (2) misspecification of the variance function impacts much more on estimators for within-cluster covariates than for cluster-level covariates; and (3) if the variance function is misspecified, correct choice of the correlation structure may not necessarily improve estimation efficiency. We illustrate impacts of different variance functions using a real data set from cow growth.

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Efficiency of analysis using generalized estimation equations is enhanced when intracluster correlation structure is accurately modeled. We compare two existing criteria (a quasi-likelihood information criterion, and the Rotnitzky-Jewell criterion) to identify the true correlation structure via simulations with Gaussian or binomial response, covariates varying at cluster or observation level, and exchangeable or AR(l) intracluster correlation structure. Rotnitzky and Jewell's approach performs better when the true intracluster correlation structure is exchangeable, while the quasi-likelihood criteria performs better for an AR(l) structure.

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The aim of this study is to explore by systematic textual analysis the crucial conceptions of constructive alignment and to reconstruct the concept of constructive alignment and examine the relation between conceptual relationships in John Biggs’s texts. In this study, I have also analyzed the presuppositions of the concept of constructive alignment and its possible implications. The research material includes Biggs’s (1996b; 2003) article entitled Enhancing Teaching through Constructive Alignment and book entitled Teaching for Quality Learning at University. The primary purpose of the systematic textual analysis is to reconstruct concepts and gain access to a new or more profound understanding of the concepts. The main purpose of the constructive alignment is to design a teaching system that supports and encourages students to adopt a deep approach learning. At the center of the constructive alignment are two concepts: constructivism in learning and alignment in teaching. A tension was detected between these concepts. Biggs assumes that students’ learning activities are primed by the teaching. Because of this it is not important what the teacher does. At the same time he emphasizes that teaching interacts with learning. The teacher’s task is to support student’s appropriate learning activities. On the basis of the analysis, I conclude these conceptions are not mutually exclusive. Interaction between teaching and learning has an effect on student’s learning activities. The most essential benefit of the model of constructive alignment is that Biggs brings together and considers teaching at the same level with learning. A weakness of Biggs’s model relates to the theoretical basis and positions of the concept of constructive alignment. There are some conflicts between conceptions of epistemology in Biggs’s texts. In addition, Biggs writes about constructivism also as conceptions of epistemology, but doesn’t consider implications of that position or what follows or doesn’t follow from that commitment. On the basis of the analysis, I suggest that constructivism refers in Biggs’s texts rather to constructivism in learning than philosophical constructivism. In light of this study, constructive alignment doesn´t lead to philosophical constructivism. That’s why constructive alignment stays out of idealism. Biggs’s way of thinking about teachers possibility to confronting students’ misconceptions and evaluate and assess students’ constructions support a realist purpose in terms of philosophical stance. Realism does not drift toward general problems of relativism, like lack of criteria for assessing or evaluate these constructions.

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John Ettinger, 1987.