clinical-trial-simulation

You can design and simulate a clinical trial using R by defining endpoints, arms, milestones, and regimens with the TrialSimulator package, then executing the simulation to generate operating characteristics and results.

To run clinical trial simulations, you need the TrialSimulator, survival, rpact or gsDesign, markdown, and simdata R packages installed to support design, execution, and report generation.

Yes, you can generate quality control-ready reports that pair each R code block with its design rationale, parameters, and operating characteristics using the markdown package within the simulation workflow.

You set up trial arms and endpoints by utilizing the building blocks provided by the TrialSimulator R package, configuring specific therapeutic area study parameters before executing the simulation.

The best way to simulate clinical trial operating characteristics in R is using TrialSimulator to define controllers and listeners, which allows you to calculate and review performance metrics for your specific trial design.

Yes, TrialSimulator works alongside gsDesign and rpact R packages, integrating their capabilities to build comprehensive trial designs, execute simulations, and output operating characteristic reports.