OneArm2stage
Phase II Single-Arm Two-Stage Designs with Time-to-Event Outcomes
Two-stage design for single-arm phase II trials with time-to-event endpoints (e.g., clinical trials on immunotherapies among cancer patients) can be calculated using this package. Two notable advantages of the package: 1) It provides flexible choices from three design methods (optimal, minmax, and admissible), and 2) the power of the design is more accurately calculated using the exact variance in the one-sample log-rank test. The package can be used for 1) planning the sample sizes and other design parameters, and 2) conducting the interim and final analyses for the Go/No-go decisions. More details about the design method can be found in: Wu, J, Chen L, Wei J, Weiss H, Chauhan A. (2020). doi:10.1002/pst.1983.
- Version1.2.1
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release10/09/2023
Documentation
Team
Xiaomeng Yuan
Haitao Pan
Show author detailsRolesAuthorJianrong Wu
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 193 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,643 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jan 21, 2025 with 33 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.
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Dependencies
- Imports3 packages
- Suggests3 packages