Workshop on Theory and Practice in the Analysis of Longitudinal Data

Start: Sept. 13, 2006
End: Sept. 21, 2006
Place: Hasselt University (formerly Limburgs Universitair Centrum), Hasselt, Belgium
Based on Verbeke and Molenberghs (2000), we 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. A number of illustrations and worked examples will be given based on the SAS procedure MIXED.
UNI-FDVCESSDA coretrust_logo RDA_Node
ADP is part of the Social Sciences Research Institute of the Faculty of Social Sciences. The Slovenian Research Agency provides funding of the ADP within the infrastructure program "Network of Research and Infrastructural Centres" The ADP is a member of the umbrella organization of the European Social Science Data Archives CESSDA ERIC. © ADP (ISSN 2385-9415) | 1997 - 2017 |