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st: RE: how to deal with missing values while running an ordinal logistic regression


From   "Lachenbruch, Peter" <Peter.Lachenbruch@oregonstate.edu>
To   "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu>
Subject   st: RE: how to deal with missing values while running an ordinal logistic regression
Date   Fri, 23 Apr 2010 08:07:49 -0700

One of the worst things you can do is to drop missing values.  This assumes that the fact of missingness is unrelated to the values, etc.  There is a large literature on missing values you should at least scratch the surface of.  Little and Rubin is a good reference, but may be a bit technical.  McKnight, et al gives a relatively non-technical introduction.  


Tony

Peter A. Lachenbruch
Department of Public Health
Oregon State University
Corvallis, OR 97330
Phone: 541-737-3832
FAX: 541-737-4001


-----Original Message-----
From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of amatoallah ouchen
Sent: Thursday, April 22, 2010 4:14 PM
To: statalist@hsphsun2.harvard.edu
Subject: st: how to deal with missing values while running an ordinal logistic regression

Good day Stata-listers,
I'm confronted to a problem, I have to run an ordinal logistic
regression but the issue consist  on the existence of many missing
values, some of them are on the dependant variable itself , the others
are on the explanatory variables (all the explanatory variables are
qualitative), so I have two questions:
1) should I drop the observations where the dependant variable is
missing ,or there is any alternative method to deal with this
situation?
2) How can I deal with the missing values when located on the
dependant variable?

Any hint will be highly appreciated !!

Thanks a lot in advance,
Ama
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