A random effects meta-analysis model with Box-Cox transformation
BMC Medical Research MethodologyPublished 19 July 2017Open access
Yusuke Yamaguchi, Kazushi Maruo, Christopher Partlett, Richard D Riley
Citations11
SJR quartileQ1
SJR score1.67
SNIP1.73
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TL;DR
The random effects meta-analysis with the Box-Cox transformation may be an important tool for examining robustness of traditionalMeta-analysis results against skewness on the observed treatment effect estimates.
Abstract
The random effects meta-analysis with the Box-Cox transformation may be an important tool for examining robustness of traditional meta-analysis results against skewness on the observed treatment effect estimates. Further critical evaluation of the method is needed.
Keywords
Decision SciencesMathematicsEconomics, Econometrics and Finance
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