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


From   Michael Norman Mitchell <Michael.Norman.Mitchell@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: how to deal with missing values while running an ordinal logistic regression
Date   Thu, 22 Apr 2010 19:21:07 -0700

Greetings

By default, Stata will handle the missing values using "listwise deletion", meaning that it will remove any observation which is missing on the outcome variable or on any of the predictor variables. You do not need to do anything for Stata to do this, it does this automatically.

One alternative is Multiple Imputation (see -help mi-), but this is not just a simple mechanical undertaking. The manual has very good information for learning this, and I would also suggest the seminars on Multiple Imputation in Stata from UCLA, see


http://www.ats.ucla.edu/stat/stata/seminars/missing_data/mi_in_stata_pt1.htm
and
http://www.ats.ucla.edu/stat/stata/seminars/missing_data/mi_in_stata_pt2.htm

A google search for "multiple imputation" stata will reveal more useful resources.

I hope this helps,

Michael N. Mitchell
See the Stata tidbit of the week at...
http://www.MichaelNormanMitchell.com

On 2010-04-22 4.14 PM, amatoallah ouchen wrote:
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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