--- "Rodrigo A. Alfaro" <raalfaroa@gmail.com> wrote:
Usually, when the method works the R2's for each imputation are not
too much different. I suggest you to report the average writing a
small note about the dispersion of the all R2's that you get... maybe
something like that in the table "R2 = 0.45" and in the note
"Average R2 obtained from 5 imputed datasets. The min R2 obtained was
0.42 and the max 0.47".
"Maarten buis" <maartenbuis@yahoo.co.uk> wrote
That's fine, even better would be if you computed the log of each R2,
than compute the mean, and than transform the mean back (with the -exp-
function) to the R2 metric. You can find the rational for this in:
http://www.stata.com/statalist/archive/2007-04/msg00900.html .
I read the Maarten's link to Rubin reply about the topic. It is a very
interesting solution to compute the geometric average of R2 instead
of arithmetic one. However, this should be used paying attention on