[R-meta] Ratio of Means

Nathan Pace n.l.pace at utah.edu
Tue Jul 25 14:32:12 CEST 2017

Thanks for this latest update.

The labbe function does not accept models with the MNLN measure.

I will use ggplot2 to create a scatterplot then add point + line + ellipse.

Any workarounds for using labbe with MNLN?




On 2507//2017, 5:06 AM, "Viechtbauer Wolfgang (SP)" <wolfgang.viechtbauer at maastrichtuniversity.nl> wrote:

    I've updated:
    It now shows how to get the regression of the underlying effects and also how to draw the confidence ellipse.
    The 5.99 comes from qchisq(.95, df=2).
    Note that the ellipse in the paper (Figure 5) seems to be drawn incorrectly.
    Wolfgang Viechtbauer, Ph.D., Statistician | Department of Psychiatry and    
    Neuropsychology | Maastricht University | P.O. Box 616 (VIJV1) | 6200 MD    
    Maastricht, The Netherlands | +31 (43) 388-4170 | http://www.wvbauer.com    
    -----Original Message-----
    From: Nathan Pace [mailto:n.l.pace at utah.edu] 
    Sent: Tuesday, July 25, 2017 07:42
    To: Viechtbauer Wolfgang (SP); Michael Dewey; r-sig-meta-analysis at r-project.org
    Subject: Re: [R-meta] Ratio of Means
    Thanks to Gerta, Wolfgang, Michael, and James for comments and pointers to functions and codes.
    In my data set the slope is one (0.97 +/- 0.04).
    The QE for residual heterogeneity is very large (~30000).
    In van Houwelingen (page 605, Figure 5) a coverage ellipse is plotted for vaccination data.
    An equation is shown in the figure legend.
    I don’t understand the source of the constant (5.99) on the rhs.

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