[R-meta] Ratio of Means

Nathan Pace n.l.pace at utah.edu
Fri Jul 28 01:33:46 CEST 2017


In your metafor vignette (page 5), mu is defined as the estimate of the true log odds ratio.

Can predict.rma be used to estimate the cr.lb and cr.ub of mu?


-----Original Message-----
From: "Viechtbauer Wolfgang (SP)" <wolfgang.viechtbauer at maastrichtuniversity.nl>
Date: Tuesday, July 25, 2017 at 05:06
To: "r-sig-meta-analysis at r-project.org" <r-sig-meta-analysis at r-project.org>
Cc: Nathan L Pace <n.l.pace at utah.edu>
Subject: RE: [R-meta] Ratio of Means

    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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