A class of weighted estimating equations for additive hazard models with covariates missing at random

DOI10.1007/s11425-019-1699-4zbMath1482.62111OpenAlexW3167804004MaRDI QIDQ2115300

Jin Jin, Peng Ye, Liu-Quan Sun

Publication date: 15 March 2022

Published in: Science China. Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11425-019-1699-4

zbMATH Keywords

kernel smoothingmissing at randomcensored dataweighted estimating equationadditive hazard model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Longitudinal data analysis using generalized linear models
• Smooth optimum kernel estimators of densities, regression curves and modes
• The asymptotic effect of substituting estimators for parameters in certain types of statistics
• Weak convergence and empirical processes. With applications to statistics
• Cox regression with missing covariate data using a modified partial likelihood method
• Weighted estimating equations for additive hazards models with missing covariates
• Semiparametric theory and missing data.
• Augmented Inverse Probability Weighted Estimator for Cox Missing Covariate Regression
• A paradox concerning nuisance parameters and projected estimating functions
• Pseudo-partial likelihood estimators for the Cox regression model with missing covariates
• Semiparametric analysis of the additive risk model
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• Regression Calibration in Failure Time Regression
• On using the Cox proportional hazards model with missing covariates
• Asymptotic Statistics
• Proportional Hazards Regression with Missing Covariates
• A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood
• A Class of Weighted Estimating Equations for Semiparametric Transformation Models with Missing Covariates
• Additive hazards regression for case-cohort studies
• Reweighting estimators for the additive hazards model with missing covariates
• Reweighting Estimators for Cox Regression With Missing Covariates
• Weighted Estimators for Proportional Hazards Regression With Missing Covariates

This page was built for publication: A class of weighted estimating equations for additive hazard models with covariates missing at random