Performance of selected imputation techniques for missing variances in meta-analysis

A common method of handling the problem of missing variances in meta-analysis of continuous response is through imputation. However, the performance of imputation techniques may be influenced by the type of model utilised. In this article, we examine through a simulation study the effects of the t...

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Main Authors:	Nik Idris, Nik Ruzni, Abdullah, Mimi Hafizah, Tolos, Siti Marponga
Format:	Article
Language:	English English
Published:	Institute of Physics Publishing (UK) 2013
Subjects:	QA Mathematics
Online Access:	http://irep.iium.edu.my/30252/ http://irep.iium.edu.my/30252/ http://irep.iium.edu.my/30252/ http://irep.iium.edu.my/30252/1/iCAST_1742-6596_435_1_012037.pdf http://irep.iium.edu.my/30252/4/scopus.pdf

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recordtype	eprints
spelling	iium-302522014-11-28T03:45:57Z http://irep.iium.edu.my/30252/ Performance of selected imputation techniques for missing variances in meta-analysis Nik Idris, Nik Ruzni Abdullah, Mimi Hafizah Tolos, Siti Marponga QA Mathematics A common method of handling the problem of missing variances in meta-analysis of continuous response is through imputation. However, the performance of imputation techniques may be influenced by the type of model utilised. In this article, we examine through a simulation study the effects of the techniques of imputation of the missing SDs and type of models used on the overall meta-analysis estimates. The results suggest that imputation should be adopted to estimate the overall effect size, irrespective of the model used. However, the accuracy of the estimates of the corresponding standard error (SE) is influenced by the imputation techniques. For estimates based on the fixed effects model, mean imputation provides better estimates than multiple imputation, while those based on the random effects model are the more robust of the imputation techniques used. The results showed that although imputation is good in reducing the bias in point estimates, it is however more likely to produce coverage probability higher than the nominal value Institute of Physics Publishing (UK) 2013-05 Article PeerReviewed application/pdf en http://irep.iium.edu.my/30252/1/iCAST_1742-6596_435_1_012037.pdf application/pdf en http://irep.iium.edu.my/30252/4/scopus.pdf Nik Idris, Nik Ruzni and Abdullah, Mimi Hafizah and Tolos, Siti Marponga (2013) Performance of selected imputation techniques for missing variances in meta-analysis. Journal of Physics: Conference Series, 435 (1). 012037. ISSN 1742-6588 (P), 1742-6596 (O) http://iopscience.iop.org/1742-6596/435/1/012037 10.1088/1742-6596/435/1/012037
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	QA Mathematics
spellingShingle	QA Mathematics Nik Idris, Nik Ruzni Abdullah, Mimi Hafizah Tolos, Siti Marponga Performance of selected imputation techniques for missing variances in meta-analysis
description	A common method of handling the problem of missing variances in meta-analysis of continuous response is through imputation. However, the performance of imputation techniques may be influenced by the type of model utilised. In this article, we examine through a simulation study the effects of the techniques of imputation of the missing SDs and type of models used on the overall meta-analysis estimates. The results suggest that imputation should be adopted to estimate the overall effect size, irrespective of the model used. However, the accuracy of the estimates of the corresponding standard error (SE) is influenced by the imputation techniques. For estimates based on the fixed effects model, mean imputation provides better estimates than multiple imputation, while those based on the random effects model are the more robust of the imputation techniques used. The results showed that although imputation is good in reducing the bias in point estimates, it is however more likely to produce coverage probability higher than the nominal value
format	Article
author	Nik Idris, Nik Ruzni Abdullah, Mimi Hafizah Tolos, Siti Marponga
author_facet	Nik Idris, Nik Ruzni Abdullah, Mimi Hafizah Tolos, Siti Marponga
author_sort	Nik Idris, Nik Ruzni
title	Performance of selected imputation techniques for missing variances in meta-analysis
title_short	Performance of selected imputation techniques for missing variances in meta-analysis
title_full	Performance of selected imputation techniques for missing variances in meta-analysis
title_fullStr	Performance of selected imputation techniques for missing variances in meta-analysis
title_full_unstemmed	Performance of selected imputation techniques for missing variances in meta-analysis
title_sort	performance of selected imputation techniques for missing variances in meta-analysis
publisher	Institute of Physics Publishing (UK)
publishDate	2013
url	http://irep.iium.edu.my/30252/ http://irep.iium.edu.my/30252/ http://irep.iium.edu.my/30252/ http://irep.iium.edu.my/30252/1/iCAST_1742-6596_435_1_012037.pdf http://irep.iium.edu.my/30252/4/scopus.pdf
first_indexed	2023-09-18T20:44:24Z
last_indexed	2023-09-18T20:44:24Z
_version_	1777409577969516544

Performance of selected imputation techniques for missing variances in meta-analysis

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