The effects of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations

Nik Ruzni, Nik Idris and Sarudin, Norraida (2010) The effects of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations. In: 2010 Second International Conference on Computer Engineering and Applications, 19-21 March, 2010, Bali Island, Indonesia.

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Abstract

Abstract— The choice between the fixed and random effects model for providing an overall meta analysis estimate in continuous data may affect the accuracy of these estimates. For studies with complete information, the Cochrane’s Q-test could provide some guide on the choice, although the power of this test is quite low. If the study- level standard deviations (SDs) are not completely reported or “missing”, selection of meta analysis model should be done with more caution. Many studies suggest that imputation is a good way of recovering the lost information in the effect size estimate and the corresponding standard error. In this article, we compare empirically, the effects of imputation of the missing SDs on the overall meta analysis estimates based on both the fixed and random effect model. The results suggest imputation is recommended to estimate the overall effect size. However, to estimate its corresponding standard error (SE), imputation is recommended for the estimates based on the random effect model. If the fixed effect model is used, imputation may lead to bias estimates of the SE.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	2850/5113
Uncontrolled Keywords:	Fixed effect model; Random effect model
Subjects:	H Social Sciences > HA Statistics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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:	15 Oct 2011 12:31
Last Modified:	09 Jan 2012 20:20
URI:	http://irep.iium.edu.my/id/eprint/5113

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