Fragility indices for only sufficiently likely modifications. Academic Article uri icon

Overview

abstract

  • The fragility index is a clinically meaningful metric based on modifying patient outcomes that is increasingly used to interpret the robustness of clinical trial results. The fragility index relies on a concept that explores alternative realizations of the same clinical trial by modifying patient measurements. In this article, we propose to generalize the fragility index to a family of fragility indices called the incidence fragility indices that permit only outcome modifications that are sufficiently likely and provide an exact algorithm to calculate the incidence fragility indices. Additionally, we introduce a far-reaching generalization of the fragility index to any data type and explain how to permit only sufficiently likely modifications for nondichotomous outcomes. All of the proposed methodologies follow the fragility index concept.

publication date

  • December 7, 2021

Research

keywords

  • Data Interpretation, Statistical

Identity

Digital Object Identifier (DOI)

  • 10.1073/pnas.2105254118

PubMed ID

  • 34848537

Additional Document Info

volume

  • 118

issue

  • 49