Using an approximate Bayesian bootstrap to multiply impute nonignorable missing data
type: Item
instance of: scholarly article
title: Using an approximate Bayesian bootstrap to multiply impute nonignorable missing data
zbMATH Open document ID: 1231.62037
author: Juned Siddique
author: Thomas R. Belin
published in: Computational Statistics and Data Analysis
publication date: 2010-03-30T00:00:00Z
full work available at URL: pmc2678725
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62F40
Mathematics Subject Classification ID: 62G09
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 5687764
Wikidata QID: Q33519029
MaRDI profile type: Publication
OpenAlex ID: W2052502784
cites work: Missing Data in Longitudinal Studies
cites work: On the performance of bias-reduction techniques for variance estimation in approximate Bayesian bootstrap imputation
cites work: Q4779059
cites work: Observational studies.
cites work: Inference and missing data
cites work: Q4654005
cites work: Multiple Imputation for Interval Estimation From Simple Random Samples With Ignorable Nonresponse
cites work: Partially parametric techniques for multiple imputation
DOI: 10.1016/J.CSDA.2008.07.042
description: scientific article; zbMATH DE number 5687764