Abstract #301121

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JSM 2003 Abstract #301121
Activity Number: 133
Type: Contributed
Date/Time: Monday, August 4, 2003 : 12:00 PM to 1:50 PM
Sponsor: Biometrics Section
Abstract - #301121
Title: Local Influential Measures in Weibull Regression Models
Author(s): Ping Shing Chan*+
Companies: The Chinese University of Hong Kong
Address: Dept. of Statistics, Shatin, NT, , Hong Kong
Keywords: diagnostic ; exponential distribution ; local influence ; survival analysis ; Weibull distribution
Abstract:

In survival analysis it is important to consider the relationship of lifetime to other factors. One way to examine the relationship of the regressor variables to lifetime is through a regression model in which lifetime has a distribution that depends upon the regressor variables. This involves specifying a model for the distribution of the lifetime, given a vextor of regressor variable for an individual. Exponential and Weibull distributions are the most commonly used parametric families to serve this purpose. Although parametric regression is useful in establishing the relationship, model checking and diagnostic receive considerably little attention, perhaps due to the lack of precise definition of the residuals corresponding to censored observations. We would like to develop an influence analysis procedure to accommodate this task.

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