A Class of Weighted Estimating Equations for Semiparametric Transformation Models with Missing Covariates

DOI10.1111/sjos.12289zbMath1468.62269OpenAlexW2738935481WikidataQ113315265 ScholiaQ113315265MaRDI QIDQ4637092

Grace Y. Yi, Nancy Reid, Yang Ning

Publication date: 17 April 2018

Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/sjos.12289

zbMATH Keywords

right censoringsurvival datamissing at randomtransformation modelsaugmented weighted estimating equations

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Censored data models (62N01) Missing data (62D10)

Related Items (5)

Regression analysis of censored data with nonignorable missing covariates and application to Alzheimer disease ⋮ Estimation in a general semiparametric hazards regression model with missing covariates ⋮ Model selection and model averaging for analysis of truncated and censored data with measurement error ⋮ Semiparametric methods for left-truncated and right-censored survival data with covariate measurement error ⋮ A class of weighted estimating equations for additive hazard models with covariates missing at random

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Cox's regression model for counting processes: A large sample study
• Semiparametric analysis based on weighted estimating equations for transformation models with missing covariates
• The proportional odds cumulative incidence model for competing risks
• Analysis of cohort survival data with transformation model
• Augmented Inverse Probability Weighted Estimator for Cox Missing Covariate Regression
• The Aalen additive gamma frailty hazards model
• Weighted estimating equations for semiparametric transformation models with censored data from a case-cohort design
• Weighted Breslow-type and maximum likelihood estimation in semiparametric transformation models
• Pseudo-partial likelihood estimators for the Cox regression model with missing covariates
• Efficient estimation of semiparametric transformation models for counting processes
• Prospective survival analysis with a general semiparametric shared frailty model: A pseudo full likelihood approach
• Analysis of transformation models with censored data
• Miscellanea. On the linear transformation model for censored data
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• On using the Cox proportional hazards model with missing covariates
• Semiparametric analysis of transformation models with censored data
• Double-Semiparametric Method for Missing Covariates in Cox Regression Models
• Proportional Hazards Regression with Missing Covariates
• Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model
• Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies
• Maximum Likelihood Estimation in Semiparametric Regression Models with Censored Data
• Reweighting Estimators for Cox Regression With Missing Covariates
• Weighted Estimators for Proportional Hazards Regression With Missing Covariates
• A profile conditional likelihood approach for the semiparametric transformation regression model with missing covariates

This page was built for publication: A Class of Weighted Estimating Equations for Semiparametric Transformation Models with Missing Covariates