Journal
TEST
Volume 14, Issue 1, Pages 257-280Publisher
SPRINGER
DOI: 10.1007/BF02595406
Keywords
asymptotic representation; kernel estimator; survival analysis; two-sample comparison
Categories
Ask authors/readers for more resources
In medical research differences among treatment groups are a common focus of study. The concept of relative hazard rate is a tool for comparing two groups in terms of their difference in risk rates. A kernel estimator is proposed in the case where both samples are subject to left truncation and right censoring and an iid representation is obtained in this setup. The asymptotic distribution and the asymptotic mean squared error of the estimator are obtained. An application to the famous Channing House data set illustrates the theory.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available