Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package

Research article (PLoS ONE, 2022) · cited 31× · AI/ML
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Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package

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Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package. Retrieved May 24, 2026, from https://4ort.xyz/entity/assessing-and-visualizing-fragility-of-clinical-results-with-binary-outcomes-in-r-using-the-fragility-package
MLA “Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/assessing-and-visualizing-fragility-of-clinical-results-with-binary-outcomes-in-r-using-the-fragility-package.
BibTeX @misc{4ortxyz_assessing-and-visualizing-fragility-of-clinical-results-with-binary-outcomes-in-r-using-the-fragility-package_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Assessing and visualizing fragility of clinical results with binary outcomes in R using the fragility package}}, year = {2026}, url = {https://4ort.xyz/entity/assessing-and-visualizing-fragility-of-clinical-results-with-binary-outcomes-in-r-using-the-fragility-package}, note = {Accessed: 2026-05-24}}
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