Abstract
In traditional meta-analysis a single analysis-method is used for combined analysis of multiple studies with significant homogeneity of the studies as null-hypothesis. In this chapter a meta-analysis will be described for the combined analysis of open evaluation studies, with heterogeneity rather than homogeneity as null-hypothesis. An example of four studies receiving a different treatment per study, jointly including 120 patients with severe sepsis was used. Unlike traditional statistical methods, SPSS Modeler, a work bench for automatic data modeling, was able to identify the treatment 1 as the best of the four treatments with a predicted accuracy 91.8% of the decision tree output as applied.
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SPSS modeler is a software program entirely distinct from SPSS statistical software, though it uses most if not all of the calculus methods of it. It is a standard software package particularly used by market analysts, but as shown can, perfectly, well be applied for exploratory purposes in medical meta-analysis and other medical research.
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© 2017 Springer International Publishing Switzerland
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Cleophas, T.J., Zwinderman, A.H. (2017). Meta-analysis with Heterogeneity as Null-Hypothesis. In: Modern Meta-Analysis. Springer, Cham. https://doi.org/10.1007/978-3-319-55895-0_24
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DOI: https://doi.org/10.1007/978-3-319-55895-0_24
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-55895-0
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