| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1151939 | Statistics & Probability Letters | 2014 | 8 Pages |
Abstract
In the study of comparing treatment effects, the data structures of two samples may be different. In this paper, we develop a unified semiparametric estimating equation approach to estimate various types of treatment effects with right-censored and length-biased data based on a semiparametric two-sample model. The large sample properties of the proposed estimators are derived and numerical studies are conducted to illustrate the proposed methods.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Cunjie Lin, Yong Zhou,