Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/77295
Authors: 
Hartung, Joachim
Year of Publication: 
1998
Series/Report no.: 
Technical Report, SFB 475: Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 1998,46
Abstract: 
In many fields of applications, test statistics are obtained by combining estimates from several experiments, studies or centres of a multicentre trial. The commonly used test procedure to judge the evidence of a common overall effect can result in a considerable overestimation of the significance level, leading to a high rate of too liberal decisions. An alternative test statistic is presented and a better approximating test distribution is derived. Explicitely discussed are the methods in the unbalanced heteroscedastic, way random ANOVA model and for the probability difference method including interaction treatment by centres. Numerical results are presented by simulation studies.
Subjects: 
meta-analysis
combining experiments
multi-centre study
interaction treatment by centres
heteroscedastic ANOVA model
random effects
probability difference method
Document Type: 
Working Paper

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