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Activity Number: 317
Type: Contributed
Date/Time: Tuesday, August 6, 2013 : 8:30 AM to 10:20 AM
Sponsor: SSC
Abstract - #308078
Title: Likelihood Inferences for Longitudinal Bivariate Multinomial Mixed Models
Author(s): Bingrui Sun*+ and Brajendra Sutradhar
Companies: Memorial University of Newfoundland and Memorial University of Newfoundland
Keywords: longitudinal bivariate multinomial data ; simulation based likelihood estimation ; mixed model
Abstract:

In the univariate longitudinal multinomial data setup, one may model the longitudinal correlations of the data through a dynamic relationship. However, for bivariate longitudinal multinomial data, one also has to accommodate the structural or familial correlations. This is because at a given point of time, any two multidimensional multinomial responses from a single individual are likely to be correlated. In this talk, we discuss a dynamic mixed model for fitting such bivariate longitudinal multinomial data. For inferences, we exploit a simulation based likelihood approach and we demonstrate that the proposed approach works well in estimating the model parameters.


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