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Sliced inverse regression for survival data
- Source :
- Statistical Papers. 55:209-220
- Publication Year :
- 2013
- Publisher :
- Springer Science and Business Media LLC, 2013.
-
Abstract
- We apply the univariate sliced inverse regression to survival data. Our approach is different from the other papers on this subject. The right-censored observations are taken into account during the slicing of the survival times by assigning each of them with equal weight to all of the slices with longer survival. We test this method with different distributions for the two main survival data models, the accelerated lifetime model and Cox's proportional hazards model. In both cases and under different conditions of sparsity, sample size and dimension of parameters, this non-parametric approach finds the data structure and can be viewed as a variable selector.
- Subjects :
- Statistics and Probability
Variable selection
Proportional hazards model
Univariate
Feature selection
Data structure
Variable (computer science)
Survival data
Dimension (vector space)
Sample size determination
Sliced inverse regression
Statistics
Statistics, Probability and Uncertainty
Mathematics
Subjects
Details
- ISSN :
- 16139798 and 09325026
- Volume :
- 55
- Database :
- OpenAIRE
- Journal :
- Statistical Papers
- Accession number :
- edsair.doi.dedup.....6b5381c354b96fcf5a5f4cfb7ce48ebe