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simIDM  

Simulating Oncology Trials using an Illness-Death Model
View on CRAN: Click here


Download and install simIDM package within the R console
Install from CRAN:
install.packages("simIDM")

Install from Github:
library("remotes")
install_github("cran/simIDM")

Install by package version:
library("remotes")
install_version("simIDM", "0.1.0")



Attach the package and use:
library("simIDM")
Maintained by
Alexandra Erdmann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-27
Latest Update: 2023-12-11
Description:
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.
How to cite:
Alexandra Erdmann (2023). simIDM: Simulating Oncology Trials using an Illness-Death Model. R package version 0.1.0, https://cran.r-project.org/web/packages/simIDM. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:04), 0.0.5 (2023-01-27 17:40), 0.1.0 (2023-12-11 11:20)
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Complete documentation for simIDM
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