Discussiones Mathematicae Probability and Statistics 25(1) (2005) 77-89

COMBINING MULTIVARIATE ESTIMATORS OF THE MEAN VECTOR

Iwona Janicka

Adam Mickiewicz University
Umultowska 87, 61-614 Poznań, Poland

e-mail: iwonajan@amu.edu.pl

Abstract

Meta-analysis is a standard statistical method used to combine the conclusions of individual studies that are related and the results of single study alone can not answered to deal with issues. The data are summarized by one or more outcome measure estimates along with their standard errors.

The multivariate model and the variations between studies are not considered in most articles.

Here we discuss multivariate effects models: a multivariate fixed effects model and a multivariate random effects model.

Keywords: meta-analysis, the fixed effects model, the random effects model.

2000 Mathematics Subject Classification: 62H10, 62H12, 62N02, 62P10, 92C60, 92D30.

References

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[3] L.V. Hedges and I. Olkin, Statistical Methods for meta- Analysis, Academic Press, Orlando 1985.
[4] S.L. Normand, Tutorial in biostatistics. Meta-analysis: formulating, evaluating, combining, and reporting, Statistics In Medicine 18 (1999), 321-359.

Received 10 April 2004