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Xia, X.C., Jiang, B.Y., Li, J.L. and Zhang, W.Y. (2016) Low-Dimensional Confounder Adjustment and High-Dimensional Penalized Estimation for Survival Analysis. Lifetime Data Analysis, 22, 547-569.
https://doi.org/10.1007/s10985-015-9350-z

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.