Laplace approximated quasi-likelihood method for heteroscedastic survival data
From MaRDI portal
Publication:6071716
DOI10.1016/j.csda.2023.107859MaRDI QIDQ6071716
Publication date: 28 November 2023
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Nonparametric quasi-likelihood for right censored data
- A sieve M-theorem for bundled parameters in semiparametric models, with application to the efficient estimation in a linear model for censored data
- Estimation in a linear regression model with censored data
- Estimating regression parameters using linear rank tests for censored data
- Polynomial regression with censored data based on preliminary nonparametric estimation
- Regression analysis with randomly right-censored data
- Rank regression methods for left-truncated and right-censored data
- Large sample theory of a modified Buckley-James estimator for regression analysis with censored data
- Semiparametric inference for the accelerated life model with time- dependent covariates
- Local asymptotics for polynomial spline regression
- Estimating censored regression models in the presence of nonparametric multiplicative hetero\-skedasticity.
- Laplace approximations for hypergeometric functions with matrix argument
- Spline nonparametric quasi-likelihood regression within the frame of the accelerated failure time model
- A large sample study of rank estimation for censored regression data
- Weighted Least‐Squares Method for Right‐Censored Data in Accelerated Failure Time Model
- Local Buckley-James estimation for heteroscedastic accelerated failure time model
- Weighted least squares method for censored linear models
- Polynomial Spline Estimation and Inference of Proportional Hazards Regression Models with Flexible Relative Risk Form
- “Smooth” Semiparametric Regression Analysis for Arbitrarily Censored Time-to-Event Data
- Efficient Estimation for the Accelerated Failure Time Model
- Linear Models, Random Censoring and Synthetic Data
- Linear regression with censored data
- Least squares regression with censored data
- Censored Regression: Local Linear Approximations and Their Applications
- Rank-based inference for the accelerated failure time model
- Approximate Inference in Generalized Linear Mixed Models
- Smoothed Rank Regression With Censored Data
- Empirical likelihood analysis of the rank estimator for the censored accelerated failure time model
- On least-squares regression with censored data
This page was built for publication: Laplace approximated quasi-likelihood method for heteroscedastic survival data