Binary Regression – Concordant

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    I recently completed a binary regression with 5 significant variables and a concordant value of 79.6%.  I’m looking for assistance on how to interpret the concordant and how to describe it to a non-statistical audience.  Thanks for any assistance.



    I’ll answer your second question.  Presenting stats to a non-statistical audience would require you to use analogies.  Be creative.  For instance, if you want to describe the number 23, get a picture of Michael Jordan, and so on.  In the end, stick tough to the issue.  Presenting stats is presenting stats with corresponding human touch.


    Robert Butler

     The concordance index is a measure of of the probability of agreement between what the model predicts and what was observed.  A concordance index of 50% means that the predictions are no better than flipping a coin.  A concordance index of 79.6% would say what you saw and what the model says you saw will agree about 80% of the time.
      So, for a non-technical audience you could say that 20% of the time your model won’t agree with actual measurements. The problem here is you don’t have anything for contrast.  If the current best mode has a 30% disagreement then you have an improvement but if the current model is 10% then you need to go back to the drawing board.

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