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

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

stat.ME2026

One Goodness-of-Fit Test Is Not Enough: Error-Controlled Localization of Misfit in Logistic Risk Models

Ebrahim Khaled Ebrahim, Ahmed El-Kotory, Osama Abd El-Aziz Hussein

A goodness-of-fit test tells whether a logistic risk model fits, but the analyst also needs to know what is wrong: an overall risk that is too high is repaired by updating the inte…

stat.ME2026

Foundation or Formula? A Simulation-Based Comparison of Google's TimesFM-3 and Classical Time-Series Models

Ebrahim Khaled Ebrahim, Somaia Mohamed Ali, Ahmed El-Kotory

Time-series foundation models such as Google's TimesFM-3 forecast series they were never trained on, but whether they should replace classical methods such as ARIMA and exponential…

stat.ME2026

Three-group variance-ratio tests for heteroscedasticity in linear regression: an exact null distribution and an outlier-resistant version

Ahmed El-Kotory, Ebrahim Khaled Ebrahim

Tests for heteroscedasticity in linear regression lose their level or power in three situations: when the data contain outliers, when the variance is not monotone, and when it chan…

stat.ME2026★ 1 cited

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

Ebrahim Khaled Ebrahim, Ahmed El-Kotory, Osama Abd El-Aziz Hussein

The Hosmer-Lemeshow calibration test groups patients by predicted risk for a valid reference and loses power that more groups cannot recover. Later tests weight each record's resid…

stat.ME2026

Benchmarking Goodness-of-Fit and Calibration Algorithms for Logistic Regression Classifiers: A Large-Scale Simulation Study under Sparse Data

Ebrahim Khaled Ebrahim, Ahmed El-Kotory

Binary logistic regression is among the most widely used classification algorithms, yet a classifier is only trustworthy if its predicted probabilities are well calibrated. The cla…

stat.ME2026

A modified Hosmer-Lemeshow goodness-of-fit test for asymmetric links: second-order power and robustness

Ebrahim Khaled Ebrahim, Ahmed El-Kotory, Ibrahim Galal Khattab

The Hosmer-Lemeshow test is the routine check of fit for logistic regression, yet it is weak against a wrong link, and the directed tests that are stronger lose their level when a…