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Activity Number:
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275
- Joint Models for Complex Data: An Update on Computational Issues, Solutions, and Applications
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Type:
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Topic-Contributed
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Date/Time:
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Wednesday, August 11, 2021 : 1:30 PM to 3:20 PM
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Sponsor:
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International Chinese Statistical Association
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Abstract #317285
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Title:
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Robust analysis of longitudinal binary and count responses
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Author(s):
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Sanjoy Sinha*
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Companies:
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Carleton Univeresity
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Keywords:
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Joint analysis;
Robust estimation ;
Mixed model;
Longitudinal study
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Abstract:
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In this talk, I will discuss a robust technique for jointly analyzing longitudinal binary and count responses. The robust method developed in the framework of the generalized linear mixed model is designed to provide protections against potential outliers in the response variables and covariates. The finite-sample properties of the robust estimators will be discussed using Monte Carlo simulations. An application will be presented using actual longitudinal data from a health survey.
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Authors who are presenting talks have a * after their name.
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