The effects of imputing the missing standard deviations on the standard error of meta analysis estimates

Nik Idris, Nik Ruzni and Robertson, Chris (2009) The effects of imputing the missing standard deviations on the standard error of meta analysis estimates. Communications in Statistics - Simulation and Computation, 38 (3). pp. 513-526. ISSN 0361-0918 (P), 1532-4141 (O)

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Abstract

A common problem in the meta analysis of continuous data is that some studies do not report sufficient information to calculate the standard deviation (SDs) of the treatment effect. One of the approaches in handling this problem is through imputation. This article examines the empirical implications of imputing the missing SDs on the standard error (SE) of the overall meta analysis estimate. The simulation results show that if the SDs are missing under Missing Completely at Random and Missing at Random mechanism, imputation is recommended. With non random missing, imputation can lead to overestimation of the SE of the estimate.

Item Type:	Article (Journal)
Additional Information:	4059/5530
Uncontrolled Keywords:	Imputation; MCAR; Meta analysis; Missing SDs; Standard error.
Subjects:	H Social Sciences > HA Statistics 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:	09 Nov 2011 13:24
Last Modified:	22 Nov 2011 08:46
URI:	http://irep.iium.edu.my/id/eprint/5530

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