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

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 (Unpublished)

Preview	PDF (Program book) - Published Version Download (576kB) | Preview
	PDF - Presentation Restricted to Registered users only Download (704kB) | Request a copy

Abstract

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

Item Type:	Conference or Workshop Item (Slide Presentation)
Additional Information:	4059/46966
Uncontrolled Keywords:	aggregate data, patient data, meta-analysis, alternative method
Subjects:	Q Science > Q Science (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Science > Department of Computational and Theoretical Sciences
Depositing User:	Dr Nik Ruzni Nik Idris
Date Deposited:	06 Jan 2016 14:01
Last Modified:	26 Jun 2018 12:28
URI:	http://irep.iium.edu.my/id/eprint/46966

Actions (login required)

View Item