Journal article
Nonparametric tests of the Markov model for survival data
Biometrika, Vol.79(3), pp.513-522
09/1992
DOI: 10.1093/biomet/79.3.513
Abstract
SUMMARY Jones & Crowley (1989) introduced a general class of nonparametric statistics for right-censored survival data that includes many of the existing procedures involving a single covariate. This paper considers this class in the framework of a Markov model and suggests some tests especially appropriate for the Markov setting. Application to left-truncated and right-censored data is also given. Small sample properties and asymptotic relative efficiencies for several statistics of this class are investigated for both relative and excess risk models for the hazard.
Details
- Title: Subtitle
- Nonparametric tests of the Markov model for survival data
- Creators
- MICHAEL P. Jones - University of IowaJOHN Crowley - Fred Hutch Cancer Center
- Resource Type
- Journal article
- Publication Details
- Biometrika, Vol.79(3), pp.513-522
- Publisher
- Oxford University Press
- DOI
- 10.1093/biomet/79.3.513
- ISSN
- 0006-3444
- eISSN
- 1464-3510
- Language
- English
- Date published
- 09/1992
- Academic Unit
- Statistics and Actuarial Science; Biostatistics; Public Policy Center (Archive)
- Record Identifier
- 9984283709602771
Metrics
20 Record Views