Seminário Analysis of cluster correlated data from complex surveys
3 de Novembro de 2011, pelas 14 horas, no Anfiteatro 1 do Colégio Luís António Verney da Universidade de Évora.
Orador: Georgiy Bobashev, RTI International, Durham, NC USA
Resumo: Traditional statistical inference is based on the fundamental concept of independency and identical distribution of observations. When clustering in considered in sampling or randomized clinical trials the observations are not independent anymore and a modification of more traditional methods is needed. The definition of clusters is very broad and covers primary sampling units such as neighborhoods, schools, hospitals, as well as individuals when multiple measures are taken for the same individual or entity.
In the seminar I will discuss the concept of cluster correlation and its implications in survey and clinical studies. I will discuss two major models that account for clustering: population averaged and cluster-specific (hierarchical) models. I will illustrate the basics of the generalized estimating equation (GEE) methods and the use of Alternating Logistic Regression (ALR) as an efficient way to estimate the amount of clustering of binary data.
Organização: Centro de Investigação em Matemática e Aplicações (CIMA-UE) e Departamento de Matemática da Universidade de Évora
Informações e Contactos:
Centro de Investigação em Matemática e Aplicações (CIMA-UE)
Colégio Luís AntónioVerney da Universidade de Évora
Rua Romão Ramalho, 59, 7000-671 Évora
Tel.: 266 745 370 Fax: 266 745 393