Parametric fractional imputation for nonignorable missing data
type: Item
instance of: scholarly article
title: Parametric fractional imputation for nonignorable missing data
zbMATH Open document ID: 1296.62185
author: Ji Young Kim
author: Jae Kwang Kim
published in: Journal of the Korean Statistical Society
publication date: 2014-09-26T00:00:00Z
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62P20
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 6348527
zbMATH Keywords: EM algorithm
zbMATH Keywords: Monte Carlo EM
zbMATH Keywords: multiple imputation
zbMATH Keywords: not missing at random
MaRDI profile type: Publication
full work available at URL: j.jkss.2011.10.002
OpenAlex ID: W2069825306
cites work: Multiple Imputation in Mixture Models for Nonignorable Nonresponse With Follow-ups
cites work: Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable
cites work: Parametric fractional imputation for missing data analysis
cites work: Regression fractional hot deck imputation
cites work: Finite sample properties of multiple imputation estimators.
cites work: A Semiparametric Estimation of Mean Functionals With Nonignorable Missing Data
cites work: Pattern-Mixture Models for Multivariate Incomplete Data
cites work: Q4779059
cites work: Q3949804
cites work: Log-linear models for a binary response with nonignorable nonresponse
cites work: Logistic disease incidence models and case-control studies
cites work: Estimating Function Jackknife Variance Estimators Under Stratified Multistage Sampling
cites work: Multiple Imputation After 18+ Years
cites work: Q4654005
cites work: Fitting regression models to case-control data by maximum likelihood
DOI: 10.1016/J.JKSS.2011.10.002
description: scientific article; zbMATH DE number 6348527