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I am looking to assess the predictive validity of two measures (M1 and M2) on a binary outcome. After constructing my model, do I just calculate odds ratios and compare the odds ratios for the two measures?

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  • $\begingroup$ What do you mean by predictive validity? There are several options: AUC, Brier-score, Sensitivity vs specifitity plot, etc. $\endgroup$ – Analyst Jun 17 '18 at 19:10
  • $\begingroup$ I'm trying to see if M1 or M2 predicts the outcome better. I though AUC was to assess the validity of the model rather than specific variables within the model $\endgroup$ – iressa13 Jun 17 '18 at 19:28
  • $\begingroup$ Yes, it is global metric. So you want to compare if other variable is more powerful than other in some sense? What are their measurement units, that affects things? $\endgroup$ – Analyst Jun 17 '18 at 19:30
  • $\begingroup$ yes that is what I want to do. The measurement units differ with one being categorical (0, 1, 2) and the other being count (1-27). $\endgroup$ – iressa13 Jun 17 '18 at 20:23
  • $\begingroup$ I think it will be quite different to have a change from category value 0 to 1 than to move one unit upwards in scale of your continuous variable... $\endgroup$ – Analyst Jun 18 '18 at 19:26
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Thanks for the additional info.

Now I can only suggest you to use likelihood ratio based test where change in the LR statistic without other variable is the interesting outcome.

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