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st: Interpretation of categorical independent variable


From   Meng Zhao <mrzm_www@yahoo.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Interpretation of categorical independent variable
Date   Fri, 10 Sep 2010 00:38:01 -0700 (PDT)

Hello,

I use a three-category ID to predict a binomial dependent variable. I included dummy variables for the first two categories in the model. The result is:
          
            Odds Ratio     p
Category 1:  116.45      0.000   
Category 2:  17.76       0.000

Is the following interpretion correct?

1.compared to category 3, being category 1 increases the Odds Ratio by 116.45 for DV to happen (whatever it represents).

2.compared to category 3, being category 2 increases the Odds Ratio by 17.76. 

3.So category 1 has a stronger effect on DV than category 2, and category 2 is stronger than category 3

Best,
Simon


      
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