Atendendo a perguntas: o minicurso ocorrera de 12 a 16 como planejado, inclusive no
feriado do dia 15
On Tue, Sep 25, 2012 at 2:24 PM, <clarice.demetrio@usp.br> wrote:
Evento: 2º WORKSHOP ON LONGITUDINAL AND INCOMPLETE DATA
Palestrante: Geert Molenberghs (University of Hasselt, Bélgica)
Local: Departamento de Ciências Exatas, sala 314, na ESALQ/USP, na Av.Pádua Dias, 11, em Piracicaba, SP
Período: 12 a 16/11/2012, das 9 às 12h e das 14 às 17h
Maiores informações e inscrições:
www.fealq.org.br , em Cursos e Eventos
Abstract
First present linear mixed models for continuous hierarchical data. The focus lies on the modeler’s perspective and on applications. Emphasis will be on model formulation, parameter estimation, and hypothesis testing, as well as on the distinction between the random-effects (hierarchical) model and the implied marginal model. Apart from classical model building strategies, many of which have been implemented in standard statistical software, a number of flexible extensions and additional tools for model diagnosis will be indicated. Second, models for non-Gaussian data will be discussed, with a strong emphasis on generalized estimating equations (GEE) and the generalized linear mixed model (GLMM). To usefully introduce this theme, a brief review of the classical generalized linear modeling framework will be presented. Similarities and differences with the continuous case will be discussed. The differences between marginal models, such as GEE, and random-effects models, such as the GLMM, will be explained in detail. Third, when analysing hierarchical and longitudinal data, one is often confronted with missing observations, i.e., scheduled measurements have not been made, due to a variety of (known or unknown) reasons. It will be shown that, if no appropriate measures are taken, missing data can cause seriously jeopardize results, and interpretational difficulties are bound to occur. Methods to properly analyze incomplete data, under flexible assumptions, are presented. Key concepts of sensitivity analysis are introduced. Throughout the workshop, it will be assumed that the participants are familiar with basic statistical modelling, including linear models (regression and analysis of variance), as well as generalized linear models (logistic and Poisson regression). Moreover, pre-requisite knowledge should also include general estimation and testing theory (maximum likelihood, likelihood ratio). All developments will be illustrated with worked examples using the SAS System. These will be supplemented with practical sessions.
O Minicurso acontecera no feriado dia 15 si
É necessário abrir os olhos e perceber que as coisas boas estão dentro de nós, onde os sentimentos não precisam de motivos nem os desejos de razão. O importante é aproveitar o momento e aprender sua duração, pois a vida está nos olhos de quem saber ver.