Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77301
Authors: 
Makambi, Kepher Henry
Argaç, Doğan
Hartung, Joachim
Year of Publication: 
2000
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2000,10
Abstract: 
In many meta-analysis cases the estimator of the overall effect in independent trials or experiments leads to unjustified significant results. This paper considers trials with two arms where the summary statistic of interest is either the mean difference or the risk difference. By using convexity principles of the relevant composed functions and the moments of the chi-square distribution, corrections are made on the estimated standard deviation of the estimator of the overall treatment difference. It is shown, analytically and by simulations, that by making such corrections on the estimated standard deviation, significance levels are attained which are relatively closer to the nominal level.
Subjects: 
Mean difference
risk difference
convexity
significance levels
Document Type: 
Working Paper

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