Binary Regression – Concordant
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- This topic has 2 replies, 3 voices, and was last updated 14 years, 8 months ago by
Robert Butler.
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December 20, 2007 at 2:10 pm #48963
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.
0December 20, 2007 at 3:09 pm #166389I’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.
0December 21, 2007 at 1:33 pm #166447
Robert ButlerParticipant@rbutlerInclude @rbutler in your post and this person will
be notified via email.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.0 -
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