Hu, J.W. and Chai, H. (2013) Adjusted Regularized Estimation in the Accelerated Failure Time Model with High Dimensional Covariates. Journal of Multivariate Analysis, 122, 96-114.
https://doi.org/10.1016/j.jmva.2013.07.011

has been cited by the following article:

• TITLE: Concave Group Selection of Nonparameter Additive Accelerated Failure Time Model

  AUTHORS: Ling Zhu

  KEYWORDS: Accelerated Failure Time Model, Nonparameter Model, Group Minimax Concave Penalty, Weighted Least Squares Estimation

  JOURNAL NAME: Open Journal of Statistics, Vol.11 No.1, February 5, 2021

  ABSTRACT: In this paper, we have studied the nonparameter accelerated failure time (AFT) additive regression model, whose covariates have a nonparametric effect on high-dimensional censored data. We give the asymptotic property of the penalty estimator based on GMCP in the nonparameter AFT model.