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arXiv · 2201.07093

Fragility Measures For Typical Cases

Robin Alexander·Benjamin R. Baer·Stephen E. Fremes·Mary Charlson·Mario Gaudino·Martin T. Wells
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Abstract

The fragility index is a clinically motivated metric designed to supplement the $p$ value during hypothesis testing. The measure relies on two pillars: selecting cases to have their outcome modified and modifying the outcomes. The measure is interesting but the case selection suffers from a drawback which can hamper its interpretation. This work presents the drawback and a method, the stochastic generalized fragility indices, designed to remedy it. Two examples concerning electoral outcomes and the causal effect of smoking cessation illustrate the method.

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Robin Alexander, Benjamin R. Baer, Stephen E. Fremes, Mary Charlson, Mario Gaudino, Martin T. Wells. 2022-01-18. Fragility Measures For Typical Cases. https://arxiv.org/abs/2201.07093

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