Modified spline regression based on randomly right-censored data: A comparative study
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Publication:5085044
DOI10.1080/03610918.2017.1353615OpenAlexW2734452140MaRDI QIDQ5085044
Publication date: 29 June 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2017.1353615
Related Items (4)
Modified estimators in semiparametric regression models with right-censored data ⋮ Selecting the smoothing parameter and knots for an extension of penalized splines to censored data ⋮ Estimating the Nonparametric Regression Function by Using Padé Approximation Based on Total Least Squares ⋮ Rational (Padé) approximation for estimating the components of the partially-linear regression model
Uses Software
Cites Work
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- Regression analysis with randomly right-censored data
- Asymptotic normality of the `synthetic data' regression estimator for censored survival data
- Smoothing noisy data with spline functions: Estimating the correct degree of smoothing by the method of generalized cross-validation
- Estimating the dimension of a model
- Sharp explicit lower bounds of heat kernels
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Smoothing Parameter Selection for a Class of Semiparametric Linear Models
- Hazard Regression for Interval-Censored Data with Penalized Spline
- Nonparametric Estimation from Incomplete Observations
- Non‐parametric Regression with Dependent Censored Data
- How Far Are Automatically Chosen Regression Smoothing Parameters From Their Optimum?
- Linear Models, Random Censoring and Synthetic Data
- Linear regression with censored data
- Estimation of the average hazard ratio
- Expressing the Kaplan-Meier Estimator as a Function of Empirical Subsurvival Functions
- Smoothing Parameter Selection in Nonparametric Regression Using an Improved Akaike Information Criterion
- Censored Regression: Local Linear Approximations and Their Applications
- Semiparametric Regression
- Semiparametric Nonlinear Mixed-Effects Models and Their Applications
- Penalized Spline Estimation for Partially Linear Single-Index Models
- Fast Stable Restricted Maximum Likelihood and Marginal Likelihood Estimation of Semiparametric Generalized Linear Models
- Nonparametric Regression Estimates with Censored Data: Local Linear Smoothers and Their Applications
- Empirical Likelihood for Censored Linear Regression
- Multivariate Bandwidth Selection for Local Linear Regression
- Theory for penalised spline regression
- ‘Asymptotic properties of penalized spline estimators’
- Censored partial linear models and empirical likelihood
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