On Linear Regression Under the Koziol-Green Model of Random Censorship
by Ke Wu
In the Koziol-Green model of random censorship the survival
distribution of the censoring times is some power of the survival
distribution of the lifetimes. We give a new method of estimating
parameters in the linear regression model under the Koziol-Green
model of random censorship. The maximum likelihood estimator for the
survival function under the K-G model is used in the proposed method,
rather than the product-limit estimator of Kaplan and Meier (1958)
used in Buckley & James's (1979) procedure for estimating parameters
in the linear regression model with censored data. Simulations
comparing the two methods are described.
Linear Regression, Koziol-Green Model, Random Censorship,
Maximum Likelihood Estimator, Product Limit Estimator
Dayanand N. Naik
READING THE ARTICLE: You can read the article in
portable document (.pdf) format (136624 bytes.)
NOTE: The content of this article is the intellectual property of the authors, who retains all rights to future publication.
This page has been accessed 2314 times since July 24, 2006.
Return to the Home Page.