A nonparametric time-varying coefficient model for panel count data

Huadong Zhao, Wanzhu Tu and Zhangsheng Yu

Journal of Nonparametric Statistics, 2018, vol. 30, issue 3, 640-661

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.

Date: 2018
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Citations: View citations in EconPapers (6)

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DOI: 10.1080/10485252.2018.1458982

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