simIDM
Simulating Oncology Trials using an Illness-Death Model
Based on the illness-death model a large number of clinical trials with oncology endpoints progression-free survival (PFS) and overall survival (OS) can be simulated, see Meller, Beyersmann and Rufibach (2019) doi:10.1002/sim.8295. The simulation set-up allows for random and event-driven censoring, an arbitrary number of treatment arms, staggered study entry and drop-out. Exponentially, Weibull and piecewise exponentially distributed survival times can be generated. The correlation between PFS and OS can be calculated.
- Version0.1.0
- R versionunknown
- LicenseApache License 2.0
- Needs compilation?No
- Languageen-US
- Last release12/11/2023
Documentation
Team
Alexandra Erdmann
Kaspar Rufibach
Show author detailsRolesAuthorHolger Löwe
Show author detailsRolesAuthorDaniel Sabanés Bové
Show author detailsRolesAuthorF. Hoffmann-La Roche AG
Show author detailsRolesCopyright holder, fndUniversity of Ulm
Show author detailsRolesCopyright holder, fnd
Insights
Last 30 days
This package has been downloaded 180 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 7 times.
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 2,561 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 Jul 21, 2024 with 78 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
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Dependencies
- Imports6 packages
- Suggests7 packages