fragility
Assessing and Visualizing Fragility of Clinical Results with Binary Outcomes
A collection of user-friendly functions for assessing and visualizing fragility of individual studies (Walsh et al., 2014 https://doi.org/10.1016/j.jclinepi.2013.10.019; Lin, 2021 https://doi.org/10.1111/jep.13428), conventional pairwise meta-analyses (Atal et al., 2019 https://doi.org/10.1016/j.jclinepi.2019.03.012), and network meta-analyses of multiple treatments with binary outcomes (Xing et al., 2020 https://doi.org/10.1016/j.jclinepi.2020.07.003). The included functions are designed to: 1) calculate the fragility index (i.e., the minimal event status modifications that can alter the significance or non-significance of the original result) and fragility quotient (i.e., fragility index divided by sample size) at a specific significance level; 2) give the cases of event status modifications for altering the result's significance or non-significance and visualize these cases; 3) visualize the trend of statistical significance as event status is modified; 4) efficiently derive fragility indexes and fragility quotients at multiple significance levels, and visualize the relationship between these fragility measures against the significance levels; and 5) calculate fragility indexes and fragility quotients of multiple datasets (e.g., a collection of clinical trials or meta-analyses) and produce plots of their overall distributions. The outputs from these functions may inform the robustness of clinical results in terms of statistical significance and aid the interpretation of fragility measures. The usage of this package is illustrated in Lin et al. (2023 https://doi.org/10.1016/j.ajog.2022.08.053) and detailed in Lin and Chu (2022 https://doi.org/10.1371/journal.pone.0268754).
- Version1.6.1
- R versionR (≥ 3.5.0)
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release01/23/2025
Team
Lifeng Lin
MaintainerShow author detailsHaitao Chu
Insights
Last 30 days
This package has been downloaded 322 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
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Last 365 days
This package has been downloaded 72,451 times in the last 365 days. The kind of number that gets mentioned in a keynote speech. Well done! The day with the most downloads was Nov 23, 2024 with 920 downloads.
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Dependencies
- Imports4 packages