Combining aggregate data and individual patient data in meta-analysis : an alternative method

It has been shown that, in cases where both the AD and IPD studies are available, combining these two levels of data could improve the overall meta-analysis estimates, compared to utilizing AD studies alone. However, the coverage probability of estimates based on combined studies are relatively low...

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Main Authors:	Nik Idris, Nik Ruzni, Misran, Nurul Afiqah
Format:	Conference or Workshop Item
Language:	English English
Published:	2015
Subjects:	Q Science (General)
Online Access:	http://irep.iium.edu.my/46966/ http://irep.iium.edu.my/46966/ http://irep.iium.edu.my/46966/3/IREP_ProgBook.pdf http://irep.iium.edu.my/46966/2/Slides_NIK.ppt

id	iium-46966
recordtype	eprints
spelling	iium-469662018-06-26T04:28:12Z http://irep.iium.edu.my/46966/ Combining aggregate data and individual patient data in meta-analysis : an alternative method Nik Idris, Nik Ruzni Misran, Nurul Afiqah Q Science (General) It has been shown that, in cases where both the AD and IPD studies are available, combining these two levels of data could improve the overall meta-analysis estimates, compared to utilizing AD studies alone. However, the coverage probability of estimates based on combined studies are relatively low compared to the AD-only meta-analysis, when the existing standard method was used to combine these studies. The aim of this paper is to introduce some modifications to the existing two-stage method for combining the aggregate data (AD) and individual patient data (IPD) studies in meta-analysis. We evaluated the effects of these modifications on the estimates of the overall treatment effect, and compared them with those from the standard method. The influence of the number of studies included in a meta-analysis, N, and the ratio of AD: IPD on these estimates were also examined. We used percentage relative bias (PRB), root mean-square-error (RMSE), and coverage probability to assess the overall efficiency of these estimates. The results revealed that the proposed method had been able to improve the coverage probability while maintaining the level of bias and RMSE at par to their existing counterpart. These findings demonstrated that the technique for combining different levels of studies influenced the efficacy of the overall estimates, which in turn is crucial for drawing reliable and valid conclusions 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/46966/3/IREP_ProgBook.pdf application/pdf en http://irep.iium.edu.my/46966/2/Slides_NIK.ppt Nik Idris, Nik Ruzni and Misran, Nurul Afiqah (2015) Combining aggregate data and individual patient data in meta-analysis : an alternative method. In: 13th International Conference on Science and Engineering Research (ICSER), 16 - 17 Dec 2015, Asean Institute of Technology, Bangkok, Thailand. (Unpublished) http://www.icserthailand.com
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	Q Science (General)
spellingShingle	Q Science (General) Nik Idris, Nik Ruzni Misran, Nurul Afiqah Combining aggregate data and individual patient data in meta-analysis : an alternative method
description	It has been shown that, in cases where both the AD and IPD studies are available, combining these two levels of data could improve the overall meta-analysis estimates, compared to utilizing AD studies alone. However, the coverage probability of estimates based on combined studies are relatively low compared to the AD-only meta-analysis, when the existing standard method was used to combine these studies. The aim of this paper is to introduce some modifications to the existing two-stage method for combining the aggregate data (AD) and individual patient data (IPD) studies in meta-analysis. We evaluated the effects of these modifications on the estimates of the overall treatment effect, and compared them with those from the standard method. The influence of the number of studies included in a meta-analysis, N, and the ratio of AD: IPD on these estimates were also examined. We used percentage relative bias (PRB), root mean-square-error (RMSE), and coverage probability to assess the overall efficiency of these estimates. The results revealed that the proposed method had been able to improve the coverage probability while maintaining the level of bias and RMSE at par to their existing counterpart. These findings demonstrated that the technique for combining different levels of studies influenced the efficacy of the overall estimates, which in turn is crucial for drawing reliable and valid conclusions
format	Conference or Workshop Item
author	Nik Idris, Nik Ruzni Misran, Nurul Afiqah
author_facet	Nik Idris, Nik Ruzni Misran, Nurul Afiqah
author_sort	Nik Idris, Nik Ruzni
title	Combining aggregate data and individual patient data in meta-analysis : an alternative method
title_short	Combining aggregate data and individual patient data in meta-analysis : an alternative method
title_full	Combining aggregate data and individual patient data in meta-analysis : an alternative method
title_fullStr	Combining aggregate data and individual patient data in meta-analysis : an alternative method
title_full_unstemmed	Combining aggregate data and individual patient data in meta-analysis : an alternative method
title_sort	combining aggregate data and individual patient data in meta-analysis : an alternative method
publishDate	2015
url	http://irep.iium.edu.my/46966/ http://irep.iium.edu.my/46966/ http://irep.iium.edu.my/46966/3/IREP_ProgBook.pdf http://irep.iium.edu.my/46966/2/Slides_NIK.ppt
first_indexed	2023-09-18T21:06:50Z
last_indexed	2023-09-18T21:06:50Z
_version_	1777410989881294848

Combining aggregate data and individual patient data in meta-analysis : an alternative method

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