Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Re: st: Imputing for missing proportions


From   "JVerkuilen (Gmail)" <jvverkuilen@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Imputing for missing proportions
Date   Fri, 12 Apr 2013 10:54:49 -0500

On Fri, Apr 12, 2013 at 5:44 AM, Geomina Turlea <geomina@yahoo.fr> wrote:
> I know, but - mi impute- does not support glm either

Best advice I have is to logit transform the proportions and then use
PMM, or just use PMM directly. You probably should try several
different sets of assumptions about the imputation model, though. Nick
is right, MAR is a stronger assumption than many people realize and
harder to make plausible than one would suppose. Outliers are also a
problem with MI approaches. MI spreads the effect all throughout the
dataset.
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index