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

Idris, N.R.N. and Robertson, C. (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

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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
ID code: 16988
Keywords: imputation, MCAR, meta analysis, missing SDs, standard error, Probabilities. Mathematical statistics, Modelling and Simulation, Statistics and Probability
Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Department: Faculty of Science > Mathematics and Statistics
Unknown Department
Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 17 May 2010 11:28
    Last modified: 05 Sep 2014 03:00
    URI: http://strathprints.strath.ac.uk/id/eprint/16988

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