Here - Tilburg University

Presenter
Hagenaars, Jacques A.P.; Dept. Methodology and Statistics, Tilburg School of
Social and Behavioral Sciences
Authors
Jacques Hagenaars and Marcel Croon; Tilburg University, the Netherlands
Wicher Bergsma; London School of Economics and Political Science, U.K
Title
Introduction to CMMs:
Marginal Models for dependent, clustered and longitudinal categorical data.
Abstract
Dependent observations may arise in many research settings (e.g., in
cluster, matched or longitudinal samples) or may arise in contexts where
otherwise the observations are independent from each other, but where the
research question ''makes' them dependent. Ignoring such dependencies and
treating the observations as independent will distort the standard errors of the
estimates but may also bias the estimates of the (effect) parameters. One
solution is to model the dependencies, as in autocorrelation or random effect
models. However,for many research questions marginal modeling is the best
solution, in which the dependency is treated as a nuissance and the parameters
of interest are estimated taking this nuissance into account (without modeling
it). In this presentation, the emphasis will be on showing the potentialities of
marginal models for answering many different types of important research
questions.