IIUM Repository

An empirical study of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations

Nik Idris, Nik Ruzni and Saidin, Norraida (2010) An empirical study of the choice of meta analysis model on the overall estimates for continuous data with missing standard deviations. In: 2nd International Conference on Knowledge Discovery(ICKD 2010), 19-21 March, 2010, Bali, Indonesia. (Unpublished)

WarningThere is a more recent version of this item available.
[img] PDF (An empirical study of the choice of meta analysis ) - Accepted Version
Restricted to Repository staff only

Download (1MB) | Request a copy
Official URL: http://www.ickd.org/

Abstract

The choice between tile fixed aud raudom dfed5 model for pl'O'fidiDg am o'Ytl'd mda auIysis edimate iB continuous data may affect tile accuracy of tllese estimates. For studies witIt complete iDformatio., tile Cochrane's Q-test could provide some guide on tile choice. although the power ofbthis test is quite low. If tile study- level standard deviations ~SDs) an ROt cOlllpletdy reported or 'missing"', selection meta aualysis model should be dOJle witIt more cautio.. Many studies suggest that imputation is a good way of recovering the lost information in the effect size estimate aud the corresponding standard error. lD this article, we compare empirically,.the effeds ofimputatioa ofthe missing SDs 011 the overaB meta analysis estimates based on both the fixed and random effett modeL Tile results saggest imputation is recommended to estimate tile overall effett size. However, to estimate its corresponding staDdard error (SE), imputation is recommended for tile estimates based 08 the random effed model Ifthe fixed eft'ert model is used. impDtation may lead to bias estimates of the SE.

Item Type: Conference or Workshop Item (Full Paper)
Uncontrolled Keywords: Fixed effect model; RIIndom effect model; imputation
Subjects: 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: 04 Jan 2012 14:34
Last Modified: 26 Jun 2013 08:08
URI: http://irep.iium.edu.my/id/eprint/14549

Available Versions of this Item

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year