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Thread: Interpreting Odds Ratio after Weight of evidence transformation

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    Interpreting Odds Ratio after Weight of evidence transformation




    I am doing a logistic modeling with several continuous variables and binary outcome variable. 1- event 0-non event. I did the initial modeling with the variables and then did the Weight of evidence(WOE) transformation for all variables except for 1 variable using ratio of Account good/Account bad. Now I have the final model and my odds ratio for the WOE transformed variables are all less than 1, except for the untransformed one which has an Odds ratio of 2.8. I am not too sure how to correctly interpret the odds ratio, especially after when the WOE transformation is done.Any suggestions and help is greatly appreciated. Thank you.

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    Re: Interpreting Odds Ratio after Weight of evidence transformation

    You probably already saw this, but perhaps it will help with interpretations:


    http://documentation.statsoft.com/ST...uctoryOverview
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    Re: Interpreting Odds Ratio after Weight of evidence transformation


    Quote Originally Posted by hlsmith View Post
    You probably already saw this, but perhaps it will help with interpretations:


    http://documentation.statsoft.com/ST...uctoryOverview
    Thank you for your response. I am looking for a way to interpret odds ratio since without WOE transformation, the Odds ratio are different, but after WOE, the odds ratio are less than 1. Any help is appreciated. Thanks.

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