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This is the preliminary program for the 2008 Joint Statistical
Meetings in Denver, Colorado.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2008 Program page |
= Applied Session,
= Theme Session,
= Presenter|
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| CE_24C | Tue, 8/5/08, 8:30 AM - 5:00 PM | CC-203 |
| Models for Discrete Repeated Measures - Continuing Education - Course | ||
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ASA |
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| Instructor(s): Geert Verbeke, K.U. Leuven, Geert Molenberghs, Hasselt University | ||
| Starting from a brief introduction to the linear mixed model for continuous longitudinal data, we will formulate extensions to model outcomes of a categorical nature, including counts and binary data. Based on Verbeke and Molenberghs (2005), several families of models will be discussed and compared, from an interpretational and computational point of view. First, we will discuss models for the full marginal distribution of the outcome vector. Such models allow inference to be based on maximum likelihood principles, but they have the disadvantage of requiring complete specification of all higher-order interactions. We will talk about two alternatives: random-effects models and semiparametric marginal models with specification of the first moments only, or the first and second moments only. We will discuss and illustrate in full detail estimation and inference, and we will extensively argue that both approaches yield parameters with completely different interpretations. Finally, when analyzing longitudinal data, one is often confronted with missing observations. We will show that, if no appropriate measures are taken, missing data can cause seriously biased results and interpretational difficulties. Methods to properly analyze incomplete data, under flexible assumptions, will be presented and key concepts of sensitivity analysis will be introduced. | ||
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JSM 2008
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |