Quantifying and adjusting the effects of publication bias in continuous meta-analysis

This study uses simulated meta-analysis to assess the effects of publication bias on meta-analysis estimates and to evaluate the efficacy of the trim and fill method in adjusting for these biases. The estimated effect sizes and the standard error were evaluated in terms of the statistical bias and t...

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Main Author:	Nik Idris, Nik Ruzni
Format:	Article
Language:	English
Published:	World Academy of Science, Engineering and Technology (W A S E T) 2012
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/26001/ http://irep.iium.edu.my/26001/ http://irep.iium.edu.my/26001/1/Quantifying_and_Adjusting_the_Effects_of_Publication_Bias_in_Continuous.pdf

id	iium-26001
recordtype	eprints
spelling	iium-260012012-11-06T03:21:19Z http://irep.iium.edu.my/26001/ Quantifying and adjusting the effects of publication bias in continuous meta-analysis Nik Idris, Nik Ruzni Q Science (General) This study uses simulated meta-analysis to assess the effects of publication bias on meta-analysis estimates and to evaluate the efficacy of the trim and fill method in adjusting for these biases. The estimated effect sizes and the standard error were evaluated in terms of the statistical bias and the coverage probability. The results demonstrate that if publication bias is not adjusted it could lead to up to 40% bias in the treatment effect estimates. Utilization of the trim and fill method could reduce the bias in the overall estimate by more than half. The method is optimum in presence of moderate underlying bias but has minimal effects in presence of low and severe publication bias. Additionally, the trim and fill method improves the coverage probability by more than half when subjected to the same level of publication bias as those of the unadjusted data. The method however tends to produce false positive results and will incorrectly adjust the data for publication bias up to 45 % of the time. Nonetheless, the bias introduced into the estimates due to this adjustment is minimal World Academy of Science, Engineering and Technology (W A S E T) 2012-09 Article PeerReviewed application/pdf en http://irep.iium.edu.my/26001/1/Quantifying_and_Adjusting_the_Effects_of_Publication_Bias_in_Continuous.pdf Nik Idris, Nik Ruzni (2012) Quantifying and adjusting the effects of publication bias in continuous meta-analysis. World Academy of Science, Engineering and Technology, 69. pp. 156-159. ISSN 1307-6884 http://www.waset.org/journals/waset/v69/v69-35.pdf
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	Q Science (General)
spellingShingle	Q Science (General) Nik Idris, Nik Ruzni Quantifying and adjusting the effects of publication bias in continuous meta-analysis
description	This study uses simulated meta-analysis to assess the effects of publication bias on meta-analysis estimates and to evaluate the efficacy of the trim and fill method in adjusting for these biases. The estimated effect sizes and the standard error were evaluated in terms of the statistical bias and the coverage probability. The results demonstrate that if publication bias is not adjusted it could lead to up to 40% bias in the treatment effect estimates. Utilization of the trim and fill method could reduce the bias in the overall estimate by more than half. The method is optimum in presence of moderate underlying bias but has minimal effects in presence of low and severe publication bias. Additionally, the trim and fill method improves the coverage probability by more than half when subjected to the same level of publication bias as those of the unadjusted data. The method however tends to produce false positive results and will incorrectly adjust the data for publication bias up to 45 % of the time. Nonetheless, the bias introduced into the estimates due to this adjustment is minimal
format	Article
author	Nik Idris, Nik Ruzni
author_facet	Nik Idris, Nik Ruzni
author_sort	Nik Idris, Nik Ruzni
title	Quantifying and adjusting the effects of publication bias in continuous meta-analysis
title_short	Quantifying and adjusting the effects of publication bias in continuous meta-analysis
title_full	Quantifying and adjusting the effects of publication bias in continuous meta-analysis
title_fullStr	Quantifying and adjusting the effects of publication bias in continuous meta-analysis
title_full_unstemmed	Quantifying and adjusting the effects of publication bias in continuous meta-analysis
title_sort	quantifying and adjusting the effects of publication bias in continuous meta-analysis
publisher	World Academy of Science, Engineering and Technology (W A S E T)
publishDate	2012
url	http://irep.iium.edu.my/26001/ http://irep.iium.edu.my/26001/ http://irep.iium.edu.my/26001/1/Quantifying_and_Adjusting_the_Effects_of_Publication_Bias_in_Continuous.pdf
first_indexed	2023-09-18T20:38:47Z
last_indexed	2023-09-18T20:38:47Z
_version_	1777409224403320832

Quantifying and adjusting the effects of publication bias in continuous meta-analysis

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