A NON-PARAMETRIC TEST FOR INTERVAL-CENSORED FAILURE TIME DATA WITH APPLICATION TO AIDS STUDIES
✍ Scribed by JIANGUO SUN
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 533 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0277-6715
No coin nor oath required. For personal study only.
✦ Synopsis
Interest often centres on the comparison of failure time distributions based on interval-censored failure time data such as in the work by Finkelstein, in which she proposed a score test under continuous proportional hazards model. In this article, we consider a different situation in which the underlying failure time is a discrete variable or the observed times correspond with a discrete scale. To compare failure time distributions in these situations, we propose a non-parametric test, a generalization of the usual logrank test for right-censored failure time data. Simulation results indicate that the test performs satisfactorily.