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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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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 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_13C | Sun, 8/2/09, 8:30 AM - 5:00 PM | RH-Meeting Rooms 12, 13, 14 |
| Models for Discrete Repeated Measures - Continuing Education - Course | ||
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ASA |
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| Instructor(s): Geert Molenberghs, Hasselt University/Katholieke Universiteit Leuven, Geert Verbeke, Katholieke Universiteit Leuven | ||
| Starting with a brief introduction of the linear mixed model for continuous longitudinal data, extensions will be formulated 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. Models will be discussed 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. Two alternatives will be discussed: random-effects models and semiparametric marginal models 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 extensively argued that both approaches yield parameters with different interpretations. Finally, when analyzing longitudinal data, one is often confronted with missing observations. It will be shown 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 introduced. | ||
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JSM 2009
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. |