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Abstract Details

Activity Number: 631
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Nonparametric Statistics
Abstract - #306751
Title: Nonparametric Comparison for Panel Count Data with Unequal Observation Processes
Author(s): Xingqiu Zhao*+ and Jianguo Sun
Companies: The Hong Kong Polytechnic University and University of Missouri
Address: , , ,
Keywords: Counting processes ; Medical follow-up study ; Nonparametric comparison ; Panel count data ; Unequal observation scheme

This article considers nonparametric comparison of several treatment groups based on panel count data. For the problem, most of the existing procedures require that the observation scheme or process is identical across different treatment groups among other requirements. We propose a new class of nonparametric procedures that allow different observation processes. The new test statistics are constructed based on the integrated weighted differences between the estimated mean functions of the underlying recurrent event processes. The asymptotic distributions of the proposed test statistics are established and their finite-sample properties are examined through Monte Carlo simulations, which indicate that the proposed approach works well. An illustrative example is provided.

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