Abstract
Several non-parametric test procedures have been proposed for incomplete survival data: interval-censored failure time data. However, most of them have unknown asymptotic properties with heuristically derived and/or complicated variance estimation. This article presents a class of generalized log-rank tests for this type of survival data and establishes their asymptotics. The methods are evaluated using simulation studies and illustrated by a set of real data from a cancer study. Published by Blackwell Publishing Ltd.
| Original language | English |
|---|---|
| Pages (from-to) | 49-57 |
| Number of pages | 9 |
| Journal | Scandinavian Journal of Statistics |
| Volume | 32 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jan 2005 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Asymptotic distribution
- Clinical trials
- Interval-censoring
- Log-rank test
- Survival comparison
ASJC Scopus subject areas
- Statistics and Probability
- Statistics, Probability and Uncertainty
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