[R-meta] Ratio of Means

Gerta Rücker ruecker at imbi.uni-freiburg.de
Wed Jul 19 11:02:26 CEST 2017

Dear Nathan,

alternatively, you may use the meta package, function metacont (for
continuous outcomes) and argument sm = "ROM" (i.e., summary measure is
ratio of means).


On 07/19/2017 07:19 AM, Nathan Pace wrote:
> Hi All,
> In two papers (J Clin Epidemiol 2011;64:556–564. BMC Med Res Method 2008;8(32)DOI: 10.1186/1471-2288-8-32)
> Friedrich, Adhikari, and Beyene proposed methods for the meta analysis of the Ratio of Means of continuous outcomes.
> Using the reported means, standard deviations, and sample sizes of the experimental and control groups, the log of the ratio of means and the associated standard error using a first order delta methods are estimated. This meta analysis then uses the generic inverse variance method.
> I have a k = 23 meta analysis. I used the metafor function rma.uni with REML and knha = T; a moderator was included.
> Any comments?
> Any unexpected pitfalls?
> Nathan
> 	[[alternative HTML version deleted]]
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Dr. rer. nat. Gerta Rücker, Dipl.-Math. 

Medical Faculty and Medical Center - University of Freiburg
Institute for Medical Biometry and Statistics

Stefan-Meier-Strasse 26, D-79104 Freiburg, Germany

Phone +49 (0)761 2036673
Fax   +49 (0)761 2036680

Mail  ruecker at imbi.uni-freiburg.de
Web   www.imbi.uni-freiburg.de/biom/

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