Forward regression for Cox models with high-dimensional covariates

Hyokyoung G. Hong; Qi Zheng; Yi Li

doi:10.1016/j.jmva.2019.02.011

ScienceGate Book Chapters

JOURNAL ARTICLE

Forward regression for Cox models with high-dimensional covariates

Hyokyoung G. Hong Qi Zheng Yi Li

Year: 2019 Journal: Journal of Multivariate Analysis Vol: 173 Pages: 268-290 Publisher: Elsevier BV

DOI: 10.1016/j.jmva.2019.02.011

Get Full-Text PDF Get Analytical Report

Keywords:

Covariate Proportional hazards model Regression analysis Partial least squares regression Mathematics Regression Statistics Linear regression Regression diagnostic Econometrics Computer science Polynomial regression

Metrics

Cited By

2.67

FWCI (Field Weighted Citation Impact)

Refs

0.90

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Forward regression for Cox models with high-dimensional covariates

Metrics

Citation History

Topics

Related Documents

High-Dimensional Gaussian Graphical Regression Models with Covariates

Generalized Regression Estimators with High-Dimensional Covariates

Semiparametric quantile regression with high-dimensional covariates

On Sliced Inverse Regression With High-Dimensional Covariates

Testing covariates in high-dimensional regression