| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 1152911 | Statistics & Probability Letters | 2009 | 7 Pages |
Abstract
It is well known that the Kaplan-Meier estimate of QAL data leads to a biased estimate due to the induced dependence between the QAL and censoring time in the QAL scale. However, the issue of induced dependent censoring in the QAL scale remains less understood. We present a formal study of this induced dependence in the context of a simple illness-death model. The bias of the Kaplan-Meier estimate of the QAL distribution has been investigated.
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Biswabrata Pradhan, Anup Dewanji,