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It would make the denominator more interpretable if it was written as $$(\sum_{i = 1}^n \sum_j^n I(y_j > t) I(y_i \leq t) \omega_i)$$ instead of $$(\sum_{i = 1}^n I(y_i > t))(\sum_i^n I(y_i \leq t) \omega_i)$$.
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Mathematically, you are correct. I think it's easier to understand in its current form, because the ROC curve compares sensitivity and specificity. The first term $\sum_{i=1} I(y_i > t)$ is related to the denominator of the specificity, and the term $\sum_{i=1} I(y_i \leq t) \omega_i$ to the denominator of the specificity.
In the documentation https://scikit-survival.readthedocs.io/en/stable/api/generated/sksurv.metrics.cumulative_dynamic_auc.html
It would make the denominator more interpretable if it was written as$$(\sum_{i = 1}^n \sum_j^n I(y_j > t) I(y_i \leq t) \omega_i)$$ instead of $$(\sum_{i = 1}^n I(y_i > t))(\sum_i^n I(y_i \leq t) \omega_i)$$ .
The text was updated successfully, but these errors were encountered: