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:	Conference or Workshop Item
Language:	English English English English
Published:	2012
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/26585/ http://irep.iium.edu.my/26585/2/cert_of_presentation.pdf http://irep.iium.edu.my/26585/4/coverbook005.pdf http://irep.iium.edu.my/26585/7/iCAST_manu-nik_ruzni.pdf http://irep.iium.edu.my/26585/10/POWERPOINT3-nik_ruzni.pdf

id	iium-26585
recordtype	eprints
spelling	iium-265852012-12-18T02:25:22Z http://irep.iium.edu.my/26585/ Performance of selected imputation techniques for missing variances in meta-analysis Nik Idris, Nik Ruzni Abdullah, Mimi Hafizah Tolos, Siti Marponga Q Science (General) 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. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/26585/2/cert_of_presentation.pdf application/pdf en http://irep.iium.edu.my/26585/4/coverbook005.pdf application/pdf en http://irep.iium.edu.my/26585/7/iCAST_manu-nik_ruzni.pdf application/pdf en http://irep.iium.edu.my/26585/10/POWERPOINT3-nik_ruzni.pdf Nik Idris, Nik Ruzni and Abdullah, Mimi Hafizah and Tolos, Siti Marponga (2012) Performance of selected imputation techniques for missing variances in meta-analysis. In: 4th International Conference on Advancement of Science and Technology, 7-10 November 2012, Vistana Hotel, Kuantan Pahang. (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English English
topic	Q Science (General)
spellingShingle	Q Science (General) 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	Conference or Workshop Item
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
publishDate	2012
url	http://irep.iium.edu.my/26585/ http://irep.iium.edu.my/26585/2/cert_of_presentation.pdf http://irep.iium.edu.my/26585/4/coverbook005.pdf http://irep.iium.edu.my/26585/7/iCAST_manu-nik_ruzni.pdf http://irep.iium.edu.my/26585/10/POWERPOINT3-nik_ruzni.pdf
first_indexed	2023-09-18T20:39:34Z
last_indexed	2023-09-18T20:39:34Z
_version_	1777409274555662336

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

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