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st: RE: Missing Value & Logistic regression


From   "Naji Nassar \(MIReS\)" <naji.nassar@mires.fr>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Missing Value & Logistic regression
Date   Mon, 24 Nov 2003 14:26:16 +0100

Barber,

Two options to consider:
1- You can compare both models over observations with no missing values on
FUMATIPO.
Just modify your if command in the old model. Simple way but loss of 242
observations
2- You can add a variable (MISSING(FUMATIPO)) in interaction with your old
and new model
Old model = OldModel1 if (missing FUMATIPO)) OldModel2 (if not missing
FUMATIPO) whatever FUMATIPO value is
New model = NewModel1 if (missing FUMATIPO)) NewModel2 (if missing FUMATIPO
+ i.FIMATIPO)
More complexe, possible overparam. but you'll have all the observations

Best
Naji

-----Message d'origine-----
De : owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu]De la part de Xavi Barber
Envoye : lundi 24 novembre 2003 13:50
A : statalist@hsphsun2.harvard.edu
Objet : st: Missing Value & Logistic regression


Dears stata users:

         I'm doing  a logistic regression, and now i have ajusted  by sex,
age and others variables.

         My question is:
                 My old model: xi:logistic esofago i.sexo1 i.edad3c
i.estudi3c i.tipobeb2 i.fuma1  if fil_bebe==1
                 My new model: xi:logistic esofago i.sexo1 i.edad3c
i.estudi3c i.tipobeb2 i.fuma1  i.fumatipo if fil_bebe==1

                 but the problem is that FUMATIPO have 242 missing values.

                 I need to put the result in a typical journal table -->
Case - Control  ; Mean (stad. desv)  ; OR  IC(OR)

                 but, i can to compare the 1st model vs then 2nd model??


thanks

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