Rod--Would that also be the case even with a simple correlation coefficient?
If so, why wouldn't something like an r-to-z transormation be involved with
Rubin's rule aggregation? Thanks for your thoughts, J-P
-----Original Message-----
From: [email protected] on behalf of Rod Little
Sent: Thu 11/27/2003 9:19 PM
To: Jonathan Mohr
Cc: [email protected]
Subject: IMPUTE: Re: combining multiply imputed estimates of R-squared
Jonathan: R-squared is just another estimand, and the correct MI
procedure
is to simply average the values from each MI data set. Rod Little
On Mon, 24 Nov 2003, Jonathan Mohr wrote:
> I am in the midst of using multiple imputation with multiple
> regression. The literature I've seen focuses on combining regression
> coefficients and corresponding standard errors. However, I've seen
> nothing on combining the estimates of R-squared. I would appreciate
> any guidance or leads that list members can offer. Best, Jon
>
> __________________________________
>
> Jonathan Mohr, Ph.D.
> Assistant Professor
> Department of Psychology
> Loyola College
> 4501 North Charles Street
> Baltimore, MD 21210-2699
>
> E-mail: [email protected]
> Phone: 410-617-2452
> Fax: 410-617-5341
> __________________________________
>
>
___________________________________________________________________________________
Roderick Little
Richard D. Remington Collegiate Professor (734)
936-1003
Department of Biostatistics Fax: (734)
763-2215
U-M School of Public Health
M4045 SPH II [email protected]
1420 Washington Hgts
http://www.sph.umich.edu/~rlittle/
Ann Arbor, MI 48109-2029
