[R-meta] Ratio of Means
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). Best, Gerta
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 R?cker, 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/