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High-dimensional variable selection for Cox's proportional hazards model

High-dimensional variable selection for Cox's proportional hazards model

17 February 2010
Jianqing Fan
Yang Feng
Yichao Wu
ArXivPDFHTML

Papers citing "High-dimensional variable selection for Cox's proportional hazards model"

6 / 6 papers shown
Title
Discrete-time Competing-Risks Regression with or without Penalization
Discrete-time Competing-Risks Regression with or without Penalization
T. Meir
M. Gorfine
51
4
0
02 Mar 2023
C-mix: a high dimensional mixture model for censored durations, with
  applications to genetic data
C-mix: a high dimensional mixture model for censored durations, with applications to genetic data
Simon Bussy
Agathe Guilloux
Stéphane Gaïffas
A. Jannot
64
13
0
24 Oct 2016
Nonparametric Independence Screening in Sparse Ultra-High Dimensional
  Additive Models
Nonparametric Independence Screening in Sparse Ultra-High Dimensional Additive Models
Jianqing Fan
Yang Feng
Rui Song
111
576
0
14 Dec 2009
Sure independence screening in generalized linear models with
  NP-dimensionality
Sure independence screening in generalized linear models with NP-dimensionality
Jianqing Fan
Rui Song
170
636
0
30 Mar 2009
Ultrahigh dimensional variable selection: beyond the linear model
Ultrahigh dimensional variable selection: beyond the linear model
Jianqing Fan
Richard Samworth
Yichao Wu
75
52
0
17 Dec 2008
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood
  models
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
H. Zou
Runze Li
286
1,234
0
07 Aug 2008
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