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This is the preliminary program for the 2006 Joint Statistical
Meetings in Seattle, Washington.
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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 2006 Program page |
= Applied Session,
= Theme Session,
= Presenter, Sheraton Seattle Hotel & Towers = “S”| CE_26C | Tue, 8/8/06, 8:30 AM - 5:00 PM | CC-307 & 308 |
| Models for Discrete Repeated Measures - Continuing Education - Course | ||
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The ASA, Section on Statistics in Epidemiology |
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| Instructor(s): Geert Verbeke, K.U. Leuven, Geert Molenberghs, Limburgs Universitair Centrum | ||
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Starting from a brief introduction on the linear mixed model for continuous longitudinal data, extensions will be formulated to model outcomes of a categorical nature, including counts and binary data. Several families of models will be discussed and compared, from both an interpretational and computational point of view. Models will be discussed for the full marginal distribution of the outcome vector. Then, random-effects models and semi-parametric marginal models with be discussed, with specification of the first moments only or the first and second moments only. Estimation and inference will be discussed and illustrated in detail, and it will be argued that both approaches yield parameters with different interpretations. Finally, it will be shown that, if no appropriate measures are taken, missing data can cause seriously biased results and interpretational difficulties. Methods to analyze incomplete data properly, under flexible assumptions, will be presented and key concepts of sensitivity analysis will be introduced.
RECOMMENDED TEXTBOOK: Molenberghs, G. and Verbeke, G. (2005). Models for Discrete Longitudinal Data. Springer. ISBN 0-387-25144-8. Course attendees are expected to be familiar with the topic at the level of: |
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JSM 2006
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. |