The impact of covariate aggregation, well studied in relation to linear regression, is less clear in the Cox model. In this paper, the authors use real-life epidemiologic data to illustrate how aggregating individual covariate values may lead to important underestimation of the exposure effect. The issue is then systematically assessed through simulations, with six alternative covariate represe...

Making predictions that are fair with regard to protected attributes (race, gender, age, etc.) has become an important requirement for classification algorithms. Existing techniques derive a model from sampled labeled data relying on the assumption training and testing identically independently drawn (iid) same distribution. In practice, distribution shift can does occur between datasets as cha...

In this paper, we give a probabilistic counterpart of  Mazur-Ulam theorem  in probabilistic normed groups. We show, under some conditions, that every surjective isometry between two probabilistic normed groups is a homomorphism.

Abstract The author’s recent research papers, “Cumulative deviation of a subpopulation from the full population” and “A graphical method cumulative differences between two subpopulations” (both published in volume 8 Springer’s open-access Journal Big Data during 2021), propose methods summary statistics, without extensively calibrating formal significance tests. metrics can measure calibration ...