A nonparametric time-varying coefficient model for panel count data |
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Authors: | Huadong Zhao Wanzhu Tu |
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Institution: | 1. School of Statistics, East China Normal University, Shanghai, People's Republic of China;2. Department of Biostatistics, Indiana University School of Medicine, Indianapolis, IN, USA |
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Abstract: | In this research, we describe a nonparametric time-varying coefficient model for the analysis of panel count data. We extend the traditional panel count data models by incorporating B-splines estimates of time-varying coefficients. We show that the proposed model can be implemented using a nonparametric maximum pseudo-likelihood method. We further examine the theoretical properties of the estimators of model parameters. The operational characteristics of the proposed method are evaluated through a simulation study. For illustration, we analyse data from a study of childhood wheezing, and describe the time-varying effect of an inflammatory marker on the risk of wheezing. |
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Keywords: | B-splines panel count data time-varying coefficients |
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