Posted by
LucyJ on
Oct 16, 2020; 5:14pm
URL: http://spssx-discussion.165.s1.nabble.com/SPSS-MACRO-Robust-variance-estimation-in-meta-regression-with-dependent-effect-size-estimates-tp5722785p5739813.html
Dear David Marso,
Firstly, thank you so much for making available the macro to calculate the
random variance estimation (RVE) introduced in the paper. This has been
especially useful for me as it is now possible I can include many more
different outcomes whilst accounting for the dependency.
I have used the SPSS macro and the output summarises the mean effect size,
along with the mean standard error. The one thing I was wondering, is
whether there is a breakdown of this showing the adjusted effect sizes (as a
result of the RVE) and therefore the possibility of a forest plot? I have a
seen a paper which uses the equivalent robumeta function in the R stats
package and they present a forest plot summarising the output values for all
individual outcomes (paper attached, plot on page 272). I notice that
Hedges' used R and these macros are translated from R, so I just wondered if
the same output is a feature with the SPSS macro please?
Any advice you have would be greatly appreciated!
Many thanks
Lucy.
<
http://spssx-discussion.1045642.n5.nabble.com/file/t341851/RVE_forest_plot.png>
--
Sent from:
http://spssx-discussion.1045642.n5.nabble.com/=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD