JSM Activity #266

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Activity ID:  266
Title
* Diagnostic Methods in Mixture Models
Date / Time / Room Sponsor Type
08/14/2002
8:30 AM - 10:20 AM
Room: H-Petit Trianon 		Biometrics Section*, WNAR Invited
Organizer: Charles McCulloch, University of California, San Francisco
Chair: Charles McCulloch, University of California, San Francisco
Discussant:  
Floor Discussion 10:05 AM
Description

Complicated models involving latent mixture distributions are becoming more commonly used. Examples include frailty models, linear mixed models and mixture models for joint modelling of survival, longitudinal, or binary outcomes. Diagnostic techniques for assessing the impact and correctness of model assumptions are lacking but necessary for the practical use of such techniques. This session will report on newly developed diagnostic methods and illustrate their use.
  300370  By:  Haiqun  Lin 8:35 AM 08/14/2002
Diagnostic Methods for Assessing Conditional Independence in Latent Variable Modelling of Joint Survival and Longitudinal Data

  301039  By:  David V.  Glidden 9:05 AM 08/14/2002
Dependence Diagnostics for Bivariate Failure Time Data

  300368  By:  Karen  Bandeen-Roche 9:35 AM 08/14/2002
Empirical Latent Variable Modeling

JSM 2002

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Revised March 2002