MONTE CARLO ESTIMATION OF EXTRAPOLATION OF QUALITY-ADJUSTED SURVIVAL FOR FOLLOW-UP STUDIES
Resource
STATISTICS IN MEDICINE v.18 n.13 pp.1627-1640
Journal
STATISTICS IN MEDICINE
Journal Volume
v.18
Journal Issue
n.13
Pages
1627-1640
Date Issued
1999
Date
1999
Author(s)
Hwang, Jing-Shiang
Wang, Jung-Der
Abstract
The expected quality-adjusted survival (QAS) for an index population with a specific disease can be estimated by summing the product of the survival function and the mean quality of life function of the population. In many follow- up studies with heavy censoring the expected QAS may not be well estimated due to the lack of data beyond the close of follow-up. In this paper, we first created a reference population from the life tables of the general population according to the Monte Carlo method. Secondly, we fitted a simple linear regression line to the legit of the ratio of quality-adjusted survival functions for the index and reference populations up to the end of follow-up. Finally, combining information on the reference population with the fitted line, we predicted the expected quality-adjusted survival curve beyond the follow-up period for the index population. Simulation studies have shown that the simple Monte Carlo estimation procedure is a potential approach for estimating expected QAS and the survival function beyond the follow-up with a certain degree of accuracy. Copyright ( C) 1999 John Wiley & Sons, Ltd.
Type
journal article