Back to Search
Start Over
A consistent version of distance covariance for right‐censored survival data and its application in hypothesis testing.
- Source :
-
Biometrics . Sep2022, Vol. 78 Issue 3, p867-879. 13p. - Publication Year :
- 2022
-
Abstract
- Distance covariance is a powerful new dependence measure that was recently introduced by Székely et al. and Székely and Rizzo. In this work, the concept of distance covariance is extended to measuring dependence between a covariate vector and a right‐censored survival endpoint by establishing an estimator based on an inverse‐probability‐of‐censoring weighted U‐statistic. The consistency of the novel estimator is derived. In a large simulation study, it is shown that induced distance covariance permutation tests show a good performance in detecting various complex associations. Applying the distance covariance permutation tests on a gene expression dataset from breast cancer patients outlines its potential for biostatistical practice. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0006341X
- Volume :
- 78
- Issue :
- 3
- Database :
- Academic Search Index
- Journal :
- Biometrics
- Publication Type :
- Academic Journal
- Accession number :
- 159455362
- Full Text :
- https://doi.org/10.1111/biom.13470