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Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance

This paper examines, analytically, the biases introduced in the meta analysis estimates when the study-level variances are missing with non-random missing mechanism (MNAR). Two common approaches in handling this problem is considered, namely, the missing variances are imputed, and the studies with m...

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Main Author: Nik Idris, Nik Ruzni
Format: Article
Language:English
Published: Universiti Teknologi Malaysia 2011
Subjects:
QA Mathematics
Online Access:http://irep.iium.edu.my/7219/4/estimating_the_bias_in_meta_analysis_estimates_for_continuous_data.pdf
http://irep.iium.edu.my/7219/
http://www.fs.utm.my/matematika/content/view/278/31/
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spelling my.iium.irep.72192012-02-02T23:46:19Z http://irep.iium.edu.my/7219/ Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance Nik Idris, Nik Ruzni QA Mathematics This paper examines, analytically, the biases introduced in the meta analysis estimates when the study-level variances are missing with non-random missing mechanism (MNAR). Two common approaches in handling this problem is considered, namely, the missing variances are imputed, and the studies with missing study variances are omitted from the analysis. The results suggest the variance will be underestimated if the magnitude of the study-variances that are missing are mostly larger implying false impression of precision. On the other hand, if the missing variances are mostly smaller, the variance of the e®ect size will be overestimated. Universiti Teknologi Malaysia 2011-12 Article REM application/pdf en http://irep.iium.edu.my/7219/4/estimating_the_bias_in_meta_analysis_estimates_for_continuous_data.pdf Nik Idris, Nik Ruzni (2011) Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance. Matematika, 27 (2). pp. 121-128. ISSN 0127-8274 http://www.fs.utm.my/matematika/content/view/278/31/
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Nik Idris, Nik Ruzni
Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance
description This paper examines, analytically, the biases introduced in the meta analysis estimates when the study-level variances are missing with non-random missing mechanism (MNAR). Two common approaches in handling this problem is considered, namely, the missing variances are imputed, and the studies with missing study variances are omitted from the analysis. The results suggest the variance will be underestimated if the magnitude of the study-variances that are missing are mostly larger implying false impression of precision. On the other hand, if the missing variances are mostly smaller, the variance of the e®ect size will be overestimated.
format Article
author Nik Idris, Nik Ruzni
author_facet Nik Idris, Nik Ruzni
author_sort Nik Idris, Nik Ruzni
title Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance
title_short Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance
title_full Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance
title_fullStr Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance
title_full_unstemmed Estimating the bias in meta analysis estimates for continuous data with non-random missing study variance
title_sort estimating the bias in meta analysis estimates for continuous data with non-random missing study variance
publisher Universiti Teknologi Malaysia
publishDate 2011
url http://irep.iium.edu.my/7219/4/estimating_the_bias_in_meta_analysis_estimates_for_continuous_data.pdf
http://irep.iium.edu.my/7219/
http://www.fs.utm.my/matematika/content/view/278/31/
_version_ 1643605893499060224
score 13.211869

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