Literature DB >> 34848537

Fragility indices for only sufficiently likely modifications.

Benjamin R Baer1, Mario Gaudino2, Mary Charlson3, Stephen E Fremes4,5, Martin T Wells6,3.   

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.

Entities:  

Keywords:  P value; evidence measure; fragility index; interpretability; statistical significance

Mesh:

Year:  2021        PMID: 34848537      PMCID: PMC8670515          DOI: 10.1073/pnas.2105254118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  24 in total

1.  Revised standards for statistical evidence.

Authors:  Valen E Johnson
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-11       Impact factor: 11.205

2.  The unit fragility index: an additional appraisal of "statistical significance" for a contrast of two proportions.

Authors:  A R Feinstein
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

3.  Does Sample Size Matter When Interpreting the Fragility Index?

Authors:  Wael Ahmed; Robert A Fowler; Victoria A McCredie
Journal:  Crit Care Med       Date:  2016-11       Impact factor: 7.598

4.  Fragility index of network meta-analysis with application to smoking cessation data.

Authors:  Aiwen Xing; Haitao Chu; Lifeng Lin
Journal:  J Clin Epidemiol       Date:  2020-07-10       Impact factor: 6.437

Review 5.  Fragility index of trials supporting approval of anti-cancer drugs in common solid tumours.

Authors:  Alexandra Desnoyers; Brooke E Wilson; Michelle B Nadler; Eitan Amir
Journal:  Cancer Treat Rev       Date:  2021-02-16       Impact factor: 12.111

6.  The fragility index can be used for sample size calculations in clinical trials.

Authors:  Benjamin R Baer; Mario Gaudino; Stephen E Fremes; Mary Charlson; Martin T Wells
Journal:  J Clin Epidemiol       Date:  2021-08-15       Impact factor: 6.437

7.  Factors that impact fragility index and their visualizations.

Authors:  Lifeng Lin
Journal:  J Eval Clin Pract       Date:  2020-06-10       Impact factor: 2.336

8.  Application of the Reverse Fragility Index to Statistically Nonsignificant Randomized Clinical Trial Results.

Authors:  Muhammad Shahzeb Khan; Gregg C Fonarow; Tim Friede; Noman Lateef; Safi U Khan; Stefan D Anker; Frank E Harrell; Javed Butler
Journal:  JAMA Netw Open       Date:  2020-08-03
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  2 in total

1.  The ellipse of insignificance, a refined fragility index for ascertaining robustness of results in dichotomous outcome trials.

Authors:  David Robert Grimes
Journal:  Elife       Date:  2022-09-20       Impact factor: 8.713

2.  Paediatric surgical trials, their fragility index, and why to avoid using it to evaluate results.

Authors:  Arne Schröder; Oliver J Muensterer; Christina Oetzmann von Sochaczewski
Journal:  Pediatr Surg Int       Date:  2022-05-07       Impact factor: 2.003

  2 in total

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