State of the Multiple Imputation Software

Owing to its practicality as well as strong inferential properties, multiple imputation has been increasingly popular in the analysis of incomplete data. Methods that are not only computationally elegant but also applicable in wide spectrum of statistical incomplete data problems have also been incr...

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Main Author: Recai M. Yucel
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2011-12-01
Series:Journal of Statistical Software
Subjects:
Online Access:http://www.jstatsoft.org/v45/i01/paper
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author Recai M. Yucel
author_facet Recai M. Yucel
author_sort Recai M. Yucel
collection DOAJ
description Owing to its practicality as well as strong inferential properties, multiple imputation has been increasingly popular in the analysis of incomplete data. Methods that are not only computationally elegant but also applicable in wide spectrum of statistical incomplete data problems have also been increasingly implemented in a numerous computing environments. Unfortunately, however, the speed of this development has not been replicated in reaching to "sophisticated" users. While the researchers have been quite successful in developing the underlying software, documentation in a style that would be most reachable to the greater scientific society has been lacking. The main goal of this special volume is to close this gap by articles that illustrate these software developments. Here I provide a brief history of multiple imputation and relevant software and highlight the contents of the contributions. Potential directions for the future of the software development is also provided.
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spelling doaj.art-9a10395c27404c60914fbe7ca0da128d2022-12-21T20:37:12ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602011-12-01451State of the Multiple Imputation SoftwareRecai M. YucelOwing to its practicality as well as strong inferential properties, multiple imputation has been increasingly popular in the analysis of incomplete data. Methods that are not only computationally elegant but also applicable in wide spectrum of statistical incomplete data problems have also been increasingly implemented in a numerous computing environments. Unfortunately, however, the speed of this development has not been replicated in reaching to "sophisticated" users. While the researchers have been quite successful in developing the underlying software, documentation in a style that would be most reachable to the greater scientific society has been lacking. The main goal of this special volume is to close this gap by articles that illustrate these software developments. Here I provide a brief history of multiple imputation and relevant software and highlight the contents of the contributions. Potential directions for the future of the software development is also provided.http://www.jstatsoft.org/v45/i01/papermissing datamultiple imputationsoftwarecomputational algorithm
spellingShingle Recai M. Yucel
State of the Multiple Imputation Software
Journal of Statistical Software
missing data
multiple imputation
software
computational algorithm
title State of the Multiple Imputation Software
title_full State of the Multiple Imputation Software
title_fullStr State of the Multiple Imputation Software
title_full_unstemmed State of the Multiple Imputation Software
title_short State of the Multiple Imputation Software
title_sort state of the multiple imputation software
topic missing data
multiple imputation
software
computational algorithm
url http://www.jstatsoft.org/v45/i01/paper
work_keys_str_mv AT recaimyucel stateofthemultipleimputationsoftware