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Fragility indices for only sufficiently likely modifications.

Benjamin R BaerMario F L GaudinoMary CharlsonStephen E FremesMartin T Wells
Published in: Proceedings of the National Academy of Sciences of the United States of America (2021)
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.
Keyphrases
  • clinical trial
  • risk factors
  • machine learning
  • type diabetes
  • open label
  • adipose tissue
  • phase ii
  • electronic health record
  • insulin resistance
  • phase iii