An empirical assessment of meta-analysis estimates from multi-level studies

Misran, Nurul Afiqah and Nik Idris, Nik Ruzni (2015) An empirical assessment of meta-analysis estimates from multi-level studies. In: National Postgraduate Conference on Science and Technology (NPCST 2015), 9-10 Oct 2015, Melia Hotel, Kuala Lumpur.

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Abstract

A conventional meta-analysis may be performed using studies which are available at individual patient level (IPD) or aggregate level (AD). Presently however, meta-analysis that combine the two levels of studies is increasingly common. The implications of utilising different levels of data on the overall estimates have not been fully explored. Objective: This study examined the efficacy of the estimates of overall treatment effect from AD, IPD and the mixed AD: IPD studies, and investigated how they differ from the true treatment effect. Additionally, this study investigated the influence of the ratio of AD: IPD on the precision of the overall treatment effects estimates. The bias, root mean-square-error (RMSE) and coverage probability were used to assess the efficiency of the overall estimates. Results: The results showed that the IPD meta-analysis produced better estimates in terms of RMSE compared to AD meta-analysis and the mixed AD:IPD meta-analysis. For the cases where both the AD and IPD studies were available, our findings showed that the combined AD : IPD data produced better estimates, in terms of precision, than utilising the AD alone. Conclusion: It is therefore recommended that available IPD should always be included in a conventional meta-analysis using summary level data as significant

Item Type:	Conference or Workshop Item (Plenary Papers)
Additional Information:	4059/45232
Uncontrolled Keywords:	empirical assessment, meta-analysis estimates, multi-level studies
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:	30 Oct 2015 15:18
Last Modified:	23 May 2016 10:05
URI:	http://irep.iium.edu.my/id/eprint/45232

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