Author

Osama Abd El-Aziz Hussein

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Preprint Aug 2026

[DeepGOF] Where Does a Logistic Risk Model Fail? An Audited Neural Goodness-of-Fit Test for Model Development and External Validation

Goodness-of-fit tests for logistic regression are routine in clinical risk modelling, yet the classical tests say whether a model misfits, not where. A pretrained network is not a test until its level, power and blind spots are established. We audit DeepGOF-1, which renders the residuals of a fitted logistic model as a...

Ebrahim Khaled Ebrahim, Osama Abd El-Aziz Hussein, Ahmed El-Kotory · 0 citations

Preprint Aug 2026

[EDGE] A grouped calibration test for logistic regression that tolerates a few corrupted records

EDGE, the test proposed here, projects the grouped residuals onto a small basis of calibration shapes that do not depend on the number of groups, so the partition becomes a setting, fine-grained for power and coarse when records may be wrong, and its reference needs no resampling.

Ebrahim Khaled Ebrahim, Osama Abd El-Aziz Hussein, Ahmed El-Kotory · 1 citation