On Linear Regression Under the Koziol-Green Model of Random Censorship
by Ke Wu
.
Abstract:
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.
Key Words:
Linear Regression, Koziol-Green Model, Random Censorship,
Maximum Likelihood Estimator, Product Limit Estimator
Authors:
Ke Wu,
kwu@olemiss.edu
Editor:
Dayanand N. Naik
,
dnn@math.odu.edu
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