A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator
type: Item
instance of: scholarly article
title: A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator
zbMATH Open document ID: 1321.62121
author: Xiaoping Chen
author: Yong Zhou
author: Zhiping Qiu
published in: Statistics \& Probability Letters
publication date: 2015-03-24T00:00:00Z
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62G20
zbMATH DE Number: 6419266
zbMATH Keywords: additive hazards model
zbMATH Keywords: imputation
zbMATH Keywords: kernel smoothing
zbMATH Keywords: missing at random
zbMATH Keywords: missing data
MaRDI profile type: Publication
full work available at URL: j.spl.2014.12.006
OpenAlex ID: W1980359965
cites work: Local multiple imputation
cites work: Nonparametric estimation for survival data with censoring indicators missing at random
cites work: Propriety of the Posterior Distribution and Existence of the MLE for Regression Models With Covariates Missing at Random
cites work: Q5654899
cites work: On semiparametric random censorship models
cites work: Q3999494
cites work: Semiparametric estimators for the regression coefficients in the linear transformation competing risks model with missing cause of failure
cites work: Analysis of competing risks survival data when some failure types are missing
cites work: Nonparametric Estimation from Incomplete Observations
cites work: Q4779058
cites work: Semiparametric analysis of the additive risk model
cites work: Q4779059
cites work: Q3580588
cites work: Missing at random, likelihood ignorability and model completeness.
cites work: Q3498636
cites work: Product‐limit Estimators and Cox Regression with Missing Censoring Information
cites work: Weighted Estimators for Proportional Hazards Regression With Missing Covariates
cites work: Additive hazards regression with censoring indicators missing at random
cites work: Efficient estimation of regression coefficients and baseline hazard under proportionality of conditional hazards
cites work: Asymptotically efficient estimation of a survival function in the missing censoring indicator model
cites work: Survival analysis for the missing censoring indicator model using kernel density estimation techniques
cites work: Doubly robust semiparametric estimation for the missing censoring indicator model
cites work: Asymptotic Statistics
cites work: Efficient estimation from right-censored data when failure indicators are missing at random
cites work: A note on kernel assisted estimators in missing covariate regression
cites work: Q4450682
cites work: Estimating Equations Inference With Missing Data
DOI: 10.1016/J.SPL.2014.12.006
description: scientific article; zbMATH DE number 6419266