Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error
From MaRDI portal
Publication:6059508
DOI10.1002/cjs.11568OpenAlexW3082676007MaRDI QIDQ6059508
Ao Yuan, Grace Y. Yi, Baojiang Chen
Publication date: 2 November 2023
Published in: Canadian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/cjs.11568
survival dataproportional hazards modelmeasurement errorvariable selectionhigh-dimensional covariates
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nearly unbiased variable selection under minimax concave penalty
- The Adaptive Lasso and Its Oracle Properties
- Statistical analysis with measurement error or misclassification. Strategy, method and application
- Cox's regression model for counting processes: A large sample study
- Information and asymptotic efficiency in parametric-nonparametric models
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Unbiased scores in proportional hazards regression with covariate measurement error
- Weak convergence and empirical processes. With applications to statistics
- A corrected likelihood method for the proportional hazards model with covariates subject to measurement error
- Partially time-varying coefficient proportional hazards models with error-prone time-dependent covariates -- an application to the AIDS clinical trial group 175 data
- Covariate measurement errors in frailty models for clustered survival data
- A Risk Set Calibration Method for Failure Time Regression by Using a Covariate Reliability Sample
- A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
- Bias analysis and the simulation-extrapolation method for survival data with covariate measurement error under parametric proportional odds models
- Hazard Ratio Estimation for Biomarker-Calibrated Dietary Exposures
- Corrected score function for errors-in-variables models: Methodology and application to generalized linear models
- A Selective Overview of Variable Selection in High Dimensional Feature Space (Invited Review Article)
- Covariate measurement errors and parameter estimation in a failure time regression model
- Partial likelihood
- Regression Calibration in Failure Time Regression
- Cox Regression with Covariate Measurement Error
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- On Profile Likelihood
- Cox Regression with Accurate Covariates Unascertainable: A Nonparametric-Correction Approach
- Variable selection for partially linear proportional hazards model with covariate measurement error
- Estimating the Parameters in the Cox Model When Covariate Variables are Measured with Error
- A Statistical View of Some Chemometrics Regression Tools
- Measurement Error in Nonlinear Models
- An estimator for the proportional hazards model with multiple longitudinal covariates measured with error
- On Corrected Score Approach for Proportional Hazards Model with Covariate Measurement Error
- A Pseudo–Partial Likelihood Method for Semiparametric Survival Regression With Covariate Errors
This page was built for publication: Variable selection for proportional hazards models with high‐dimensional covariates subject to measurement error