相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Adaptive lasso for the Cox regression with interval censored and possibly left truncated data
Chenxi Li et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2020)
Penalized estimation of semiparametric transformation models with interval-censored data and application to Alzheimer's disease
Shuwei Li et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2020)
Simultaneous Estimation and Variable Selection for Interval-Censored Data With Broken Adaptive Ridge Regression
Hui Zhao et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2020)
Variable selection in semiparametric nonmixture cure model with interval-censored failure time data: An application to the prostate cancer screening study
Liuquan Sun et al.
STATISTICS IN MEDICINE (2019)
Semiparametric transformation models for interval-censored data in the presence of a cure fraction
Chyong-Mei Chen et al.
BIOMETRICAL JOURNAL (2019)
An improved variable selection procedure for adaptive Lasso in high-dimensional survival analysis
Kevin He et al.
LIFETIME DATA ANALYSIS (2019)
Variable selection for mixture and promotion time cure rate models
Abdullah Masud et al.
STATISTICAL METHODS IN MEDICAL RESEARCH (2018)
Computationally Efficient Estimation for the Generalized Odds Rate Mixture Cure Model With Interval-Censored Data
Jie Zhou et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2018)
A Flexible, Computationally Efficient Method for Fitting the Proportional Hazards Model to Interval-Censored Data
Lianming Wang et al.
BIOMETRICS (2016)
Variable selection in a flexible parametric mixture cure model with interval-censored data
Sylvie Scolas et al.
STATISTICS IN MEDICINE (2016)
Penalized Regression for Interval-Censored Times of Disease Progression: Selection of HLA Markers in Psoriatic Arthritis
Ying Wu et al.
BIOMETRICS (2015)
Regression analysis of bivariate current status data under the Gamma-frailty proportional hazards model using the EM algorithm
Naichen Wang et al.
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2015)
Efficient estimation for semiparametric cure models with interval-censored data
Tao Hu et al.
JOURNAL OF MULTIVARIATE ANALYSIS (2013)
Variable selection in semiparametric cure models based on penalized likelihood, with application to breast cancer clinical trials
Xiang Liu et al.
STATISTICS IN MEDICINE (2012)
p-Values for High-Dimensional Regression
Nicolai Meinshausen et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2009)
A Semiparametric Regression Cure Model for Interval-Censored Data
Hao Liu et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2009)
One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou et al.
ANNALS OF STATISTICS (2008)
Cure rate model with interval censored data
Yang-Jin Kim et al.
STATISTICS IN MEDICINE (2008)
Adaptive lasso for Cox's proportional hazards model
Hao Helen Zhang et al.
BIOMETRIKA (2007)
Estimation of the mean function with panel count data using monotone polynomial splines
Minggen Lu et al.
BIOMETRIKA (2007)
Regression analysis of failure time data with informative interval censoring
Zhigang Zhang et al.
STATISTICS IN MEDICINE (2007)
The adaptive lasso and its oracle properties
Hui Zou
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2006)
Mixed model-based inference in geoadditive hazard regression for interval-censored survival times
Thomas Kneib
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2006)
Vairiable selection for multivariate failure time data
JW Cai et al.
BIOMETRIKA (2005)
Parametric spatial cure rate models for interval-censored time-to-relapse data
S Banerjee et al.
BIOMETRICS (2004)
Variable selection via nonconcave penalized likelihood and its oracle properties
JQ Fan et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)