Penalized spline smoothing in multivariable survival models with varying coefficients
From MaRDI portal
Publication:957190
DOI10.1016/j.csda.2004.05.006zbMath1429.62141OpenAlexW2043429637MaRDI QIDQ957190
Publication date: 26 November 2008
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2004.05.006
Nonparametric regression and quantile regression (62G08) Generalized linear models (logistic models) (62J12) Reliability and life testing (62N05)
Related Items
On the maximum penalized likelihood approach for proportional hazard models with right censored survival data, Copula regression spline models for binary outcomes, Nonparametric models and their estimation, Dynamic survival models with spatial frailty, Asymptotics and smoothing parameter selection for penalized spline regression with various loss functions, An extension of estimating equations to model longitudinal medical cost trajectory with medicare claims data linked to SEER cancer registry, Generalized time-dependent conditional linear models under left truncation and right censoring, Exploring US business cycles with bivariate loops using penalized spline regression, To move or not to move to find a new job: spatial duration time model with dynamic covariate effects, Reduced rank hazard regression with fixed and time‐varying effects of the covariates, Semi-parametric bivariate polychotomous ordinal regression, Parametrization and penalties in spline models with an application to survival analysis, A goodness-of-fit test for generalised conditional linear models under left truncation and right censoring, A Mixed Model Approach for Geoadditive Hazard Regression, Bayesian dynamic regression models for interval censored survival data with application to children dental health, Mixed model-based inference in geoadditive hazard regression for interval-censored survival times, Additive two-way hazards model with varying coefficients, Building Cox-type structured hazard regression models with time-varying effects, A Bayesian Time-Varying Coefficient Model for Multitype Recurrent Events, Stacked Laplace-EM algorithm for duration models with time-varying and random effects
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A statistical perspective on ill-posed inverse problems (with discussion)
- Theory of partial likelihood
- A practical guide to splines
- Local likelihood and local partial likelihood in hazard regression
- Modeling survival data: extending the Cox model
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Local roughness penalties for regression splines
- Smoothing and mixed models
- Score Tests for Homogeneity of Regression Effect in the Proportional Hazards Model
- Nonparametric Estimation of Relative Risk Using Splines and Cross-Validation
- Maximizing Generalized Linear Mixed Model Likelihoods With an Automated Monte Carlo EM Algorithm
- Proportional hazards tests and diagnostics based on weighted residuals
- Time-Dependent Hazard Ratio: Modeling and Hypothesis Testing With Application in Lupus Nephritis
- Semiparametric Regression
- Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models
- Approximate Inference in Generalized Linear Mixed Models
- Hazard Regression
- Spline-Based Tests in Survival Analysis
- Bias correction in generalised linear mixed models with a single component of dispersion