I ran a logistic regression with 1 predictor for dichotomous outcome, and the predictor was not statistically significant. I ran an ROC curve with the same variable, and got AUC around .70 which is fairly good predictive ability. How do I explain these discrepant results with the same variables?

  • $\begingroup$ Can you provide more details about data and the model. $\endgroup$ May 9, 2017 at 0:50
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    $\begingroup$ Note that the AUC does not really measure "predictive ability". It measures the degree to which the predicted probabilities tend to sort the 1s & 0s. $\endgroup$ May 9, 2017 at 11:56

1 Answer 1


The most likely reason is that your sample is small.

Statistical significance is not the same as practical importance. With a large enough N, even a tiny AUC would be significant. With a small enough N, even an AUC of 0.9 would not be significant.


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