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) . 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.


Reference manual

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install.packages("simIDM")

0.1.1 by Daniel Sabanés Bové, 3 months ago


https://github.com/insightsengineering/simIDM/


Report a bug at https://github.com/insightsengineering/simIDM/issues


Browse source code at https://github.com/cran/simIDM


Authors: Alexandra Erdmann [aut] , Daniel Sabanés Bové [aut, cre] , Kaspar Rufibach [aut] , Holger Löwe [aut] , F. Hoffmann-La Roche AG [cph, fnd] , University of Ulm [cph, fnd]


Documentation:   PDF Manual  


Apache License 2.0 license


Imports checkmate, furrr, future, mstate, parallelly, stats, survival

Suggests coxphw, knitr, mvna, prodlim, rmarkdown, rpact, testthat


See at CRAN