Power of the adjusted Q statistic to evaluate heterogeneity in meta-analyses of cluster randomized trials

DOI10.1080/03610918.2016.1222426zbMath1462.62124OpenAlexW2521309208MaRDI QIDQ4607363

Neil Klar, Shun Fu Lee, Allan Donner

Publication date: 13 March 2018

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2016.1222426

zbMATH Keywords

heterogeneitypowermeta-analysiscluster randomized trialbinary outcome\(Q\) statistic

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03)

Cites Work

• Miscellanea. A note on generating correlated binary variables
• The Combination of Estimates from Different Experiments
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