Simulate Non Proportional Hazards
This package provides several functions to simulate survival data with non proportional hazards using the general purpose simulation package SimDesign.
This package follows the structure of SimDesing and provides functions that can readily be used as generate
, analyse
and summarise
arguments in SimDesign
's runSimulation
function.
The current development version can be installed with:
remotes::install_git("https://github.com/SimNPH/SimNPH.git")
Documentation for all functions can be found in the respective help topics in the package after installation or here
Some examples of data generation, testing and estimation can be found in this vignette.
Results of the Simulation StudyThe results of the simulation study done by the CONFIRMS consortium in the course of the EMA tender are published in the paper A Comparison of Statistical Methods for Time-To-Event Analyses in Randomized Controlled Trials Under Non-Proportional Hazards, Klinglmüller et al. (2025) and are presented in a shinylive App.
Reproducing the Results of the Simulation studyThe parameters for the simulations were set using the following scripts:
scripts/set_parameters_delayed_effect.R
scripts/set_parameters_crossing_hazards.R
scripts/set_parameters_subgroup.R
scripts/set_parameters_progression.R
The simulations were then run using the following scripts:
scripts/run_simulations_delayed_effect.R
scripts/run_simulations_crossing_hazards.R
scripts/run_simulations_subgroup.R
scripts/run_simulations_progression.R
Which in turn use scripts/run_simulations_common.R
.
All scripts are executed with the base directory of this repository as working directory.
Changes since the conduct of the simulation study:
run_simulations_...
data
. This folder was renamed to data_sim_study
because data
is reserved for the use in R packages. Change the paths accordingly.run_simulations_...
scripts use the parameters from a specified data. If you want to use parameter-values you generated yourself, update the path accordingly.If you want to re-use the scenarios from the simulation study to investigate additional methods, use the scripts and documentation provided in the SimTemplate github repository. Also refer to the documentation on contributing. If you do so please cite the simulation study, you can get a bibtex entry with citation(package="SimNPH")
.
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