Model Selection for Cox Models with Time-Varying Coefficients
From MaRDI portal
Publication:2912333
DOI10.1111/j.1541-0420.2011.01692.xzbMath1251.62052OpenAlexW1972879878WikidataQ36063023 ScholiaQ36063023MaRDI QIDQ2912333
Publication date: 14 September 2012
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc3384767
Numerical computation using splines (65D07) Applications of statistics to biology and medical sciences; meta analysis (62P10)
Related Items
Scalable proximal methods for cause-specific hazard modeling with time-varying coefficients, Variable screening for varying coefficient models with ultrahigh-dimensional survival data, Identification of homogeneous and heterogeneous variables in pooled cohort studies, Integrative weighted group Lasso and generalized local quadratic approximation, Identification of local sparsity and variable selection for varying coefficient additive hazards models, Variable selection and structure identification for varying coefficient Cox models, Feature screening in ultrahigh-dimensional varying-coefficient Cox model, Stratified Cox models with time‐varying effects for national kidney transplant patients: A new blockwise steepest ascent method, Robust Bayesian Variable Selection for Gene–Environment Interactions, Unnamed Item, Variable selection in Cox regression models with varying coefficients, Variable selection for partially linear proportional hazards model with covariate measurement error, Analysis of noisy survival data with graphical proportional hazards measurement error models, Time-varying Hazards Model for Incorporating Irregularly Measured, High-Dimensional Biomarkers, Modeling past event feedback through biomarker dynamics in the multistate event analysis for cardiovascular disease data, Oracle inequalities for weighted group Lasso in high-dimensional misspecified Cox models, Adaptively weighted group Lasso for semiparametric quantile regression models, Structural identification and variable selection in high-dimensional varying-coefficient models
Uses Software
Cites Work
- Unnamed Item
- Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
- Penalized methods for bi-level variable selection
- Nearly unbiased variable selection under minimax concave penalty
- Component selection and smoothing in multivariate nonparametric regression
- Nonparametric survival analysis with time-dependent covariate effects: A penalized partial likelihood approach
- Variable selection in nonparametric additive models
- A simple approach for varying-coefficient model selection
- Block-coordinate gradient descent method for linearly constrained nonsmooth separable optimization
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Generalized likelihood ratio statistics and Wilks phenomenon
- Variable selection for Cox's proportional hazards model and frailty model
- Variable selection in semiparametric regression modeling
- Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models
- A flexible additive multiplicative hazard model
- Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models
- Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
- Model selection in nonparametric hazard regression
- Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements
- Model Selection and Estimation in Regression with Grouped Variables
- Adaptive Lasso for Cox's proportional hazards model
- On the Cox Model With Time-Varying Regression Coefficients
- Convergence of a block coordinate descent method for nondifferentiable minimization