A random effects meta-analysis model with Box-Cox transformation

A random effects meta-analysis model with Box-Cox transformation

Abstract Background In a random effects meta-analysis model, true treatment effects for each study are routinely assumed to follow a normal distribution. However, normality is a restrictive assumption and the misspecification of the random effects distribution may result in a misleading estimate of...

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Bibliographic Details
Main Authors: Yusuke Yamaguchi, Kazushi Maruo, Christopher Partlett, Richard D. Riley
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Medical Research Methodology
Subjects:
Meta-analysis
Random effects model
Skewed data
Box-Cox transformation
Online Access:http://link.springer.com/article/10.1186/s12874-017-0376-7

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http://link.springer.com/article/10.1186/s12874-017-0376-7

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