Correcting bias in meta-analyses: What not to do (meta-showdown Part 1)

June 9, 2017
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(This article was originally published at Nicebread, and syndicated at StatsBlogs.)

tl;dr: Publication bias and p-hacking can dramatically inflate effect size estimates in meta-analyses. Many methods have been proposed to correct for such bias and to estimate the underlying true effect. In a large simulation study, we studied which methods do (not) work well under which conditions, and give some recommendations what not to use. Estimated […]

The post Correcting bias in meta-analyses: What not to do (meta-showdown Part 1) appeared first on Nicebread.



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