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

[Michael Norman Mitchell <Michael.Norman.Mitchell@gmail.com>]

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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