Abstract Details
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Activity Number:
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84
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Type:
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Contributed
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Date/Time:
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Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #309144 |
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Title:
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Analysis of Panel Data Under a Markov Assumption with Covariate Measurement Error
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Author(s):
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Feng He*+ and Grace Y Yi
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Companies:
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University of Waterloo and University of Waterloo
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Keywords:
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panel data ;
Markov property ;
measurement error ;
pairwise likelihood ;
multistate model
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Abstract:
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We consider a continuous-time Markov model for the analysis of panel data when one of the predictors is measured with error. The effect of the error-prone predictor on rates of disease progression is of interest. We propose procedures to obtaining both maximum likelihood estimates and maximum pairwise likelihood estimates for transition intensity parameters in time homogeneous models. Simulations and an example illustrate the results.
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Authors who are presenting talks have a * after their name.
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