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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_20C | Mon, 8/7/06, 8:30 AM - 5:00 PM | CC-310 |
| Generalized Linear and Latent Mixed Models - Continuing Education - Course | ||
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The ASA, Biometrics Section |
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| Instructor(s): Sophia Rabe-Hesketh, University of California, Berkeley, Anders Skrondal, London School of Economics | ||
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Generalized linear mixed (or multilevel) models (GLMMs) are useful for longitudinal data, cluster-randomized trials, surveys with cluster-sampling, genetic studies, metaanalysis, etc. The random effects in GLMMs are latent variables representing between-cluster variability and inducing within-cluster dependence. Latent variables also are used often to represent true values of variables measured with error. Measurement models specifying the relationship between measured and latent variables can form part of regression models, giving structural equation models (SEMs). SEMs also can be used to model dependence between processes. Taking a unified view of these models is beneficial because developments for one model-type are applicable to other model-types and the same software can be used for seemingly different models. The course will be structured in three parts: GLMMs, measurement models, and SEMs. Ideas will be developed by starting from simple versions of the models and motivating extensions through examples. Methods of estimation and prediction will be surveyed. Real applications will be considered from different disciplines.
RECOMMENDED TEXTBOOK: Skrondal, A. and Rabe-Hasketh, S. (2004): Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models. Chapman and Hall/CRC Press. ISBN: 1-58488-000-7. 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. |