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  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
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  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
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HELOW: A program for testing extreme homogeneity in meta-analysis

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Autor
Zintzaras, E.; Ioannidis, J. P.
Datum
2014
DOI
10.1016/j.cmpb.2014.06.009
Schlagwort
Meta-analysis
Homogeneity
Heterogeneity
Monte Carlo
Risk ratio
2 X-2 TABLES
HETEROGENEITY
RATIO
Computer Science, Interdisciplinary Applications
Computer Science,
Theory & Methods
Engineering, Biomedical
Medical Informatics
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Zusammenfassung
Meta-analysis aims to synthesize results from different studies. Although, in a meta-analysis the presence of large between-study heterogeneity is routinely evaluated, in some instances is also important to probe whether there is extreme between-study homogeneity (i.e. extreme low between-study heterogeneity). HELOW (HEterogeneity LOW) is a program for testing extreme homogeneity in a meta-analysis of risk ratios when binary outcome and Mantel-Haenszel fixed effects summary risk ratio estimate are employed. The significance of extreme homogeneity is assessed using a Monte Carlo test. Extreme homogeneity may yield insights for the statistical and clinical interpretation of the data. (C) 2014 Elsevier Ireland Ltd. All rights reserved.
URI
http://hdl.handle.net/11615/34948
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