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Estimation Methods of a Joint Model Based on Proportional Intensity Function and Proportional Hazard Function

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Abstract:

Recurrent events data refers to the observation of individuals, which contains the recurrent event time of interest. This paper mainly discusses a joint model when the end time is a multiplicable hazard function and the recurrent event process is a multiplicable intensity function. Based on the likelihood method, Delta method, U-statistic method and the idea of general estimation equation, the estimation of unknown parameters and unknown functions in the model is provided. It provides a new method of parameter estimation for the statistic analysis of recurrent events data.

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Periodical:

Applied Mechanics and Materials (Volumes 631-632)

Pages:

27-30

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.631-632.27

Citation:

Cite this paper

Online since:

September 2014

Authors:

Huan Bin Liu*, Tong Yin, Cong Jun Rao

Keywords:

Estimation Methods, Joint Model, Proportional Hazard Function, Proportional Intensity Function, Recurrent Events Data

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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