fragility

Assessing and Visualizing Fragility of Clinical Results with Binary Outcomes

CRAN Package

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).


Team


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.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsMar 16, 2025
0 downloadsMar 17, 2025
5 downloadsMar 18, 2025
1 downloadsMar 19, 2025
16 downloadsMar 20, 2025
11 downloadsMar 21, 2025
9 downloadsMar 22, 2025
11 downloadsMar 23, 2025
12 downloadsMar 24, 2025
2 downloadsMar 25, 2025
6 downloadsMar 26, 2025
8 downloadsMar 27, 2025
27 downloadsMar 28, 2025
1 downloadsMar 29, 2025
4 downloadsMar 30, 2025
4 downloadsMar 31, 2025
18 downloadsApr 1, 2025
10 downloadsApr 2, 2025
17 downloadsApr 3, 2025
3 downloadsApr 4, 2025
11 downloadsApr 5, 2025
3 downloadsApr 6, 2025
7 downloadsApr 7, 2025
18 downloadsApr 8, 2025
12 downloadsApr 9, 2025
7 downloadsApr 10, 2025
11 downloadsApr 11, 2025
27 downloadsApr 12, 2025
4 downloadsApr 13, 2025
18 downloadsApr 14, 2025
29 downloadsApr 15, 2025
10 downloadsApr 16, 2025
0 downloadsApr 17, 2025
0 downloadsApr 18, 2025
0 downloadsApr 19, 2025
1
29

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

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.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports4 packages