| SDGM4 {SurvMetrics} | R Documentation |
Survival Data Generation Method 4
Description
Survival data generation method. An example of the proportional hazards model where in the Cox model is expected to perform best.
Usage
SDGM4(N = 200, p = 15, c_step = 0.4)
Arguments
N |
The sample size of the simulated dataset. |
p |
The covariate dimension of the simulated dataset. |
c_step |
The parameter which is used to control the censoring rate. |
Value
the simulated dataset
Author(s)
Hanpu Zhou zhouhanpu@csu.edu.cn
References
Steingrimsson, J. A. , Diao, L. , & Strawderman, R. L. . (2019). Censoring unbiased regression trees and ensembles. Journal of the American Statistical Association, 114.
Zhu, R. , & Kosorok, M. R. . (2012). Recursively imputed survival trees. Journal of the American Statistical Association, 107(497), 331-340.
Ishwaran, H., Kogalur, U. B., Gorodeski, E.Z., Minn, A.J., & Lauer, M. S. . (2010). High-dimensional variable selection for survival data. Journal of the American Statistical Association, 105(489), 205-217.
Examples
SDGM4(N = 200, p = 15, c_step = 0.4)