Flexible Clinical Trial Planning with the R Package rpact
Welcome to “Flexible Clinical Trial Planning with the R Package rpact”
This talk is part of the session “Practical experiences of using software to design clinical trials using simulations”
This website is accessible at ADMTP2024.rpact.com
Abstract
In our upcoming presentation, we will explore the capabilities of the validated open-source R package ‘rpact,’ which is available on CRAN and GitHub. This package is useful for conducting flexible simulations in clinical trial planning. As an example, we will demonstrate how ‘rpact’ enables users to easily define new functions for calculating the number of subjects or events required, based on given conditional power and critical values for specific testing scenarios. This includes the implementation of advanced strategies like the ‘promising zone approach.’
Drawing from our own experiences, we will also discuss how we successfully met a stringent FDA deadline by employing parallelized simulations with ‘rpact’, ensuring both efficiency and reliability in a ‘seed’ safe manner.
Furthermore, we introduce ‘RPACT Cloud’, a user-friendly platform designed to simplify and enhance the process of clinical trial simulations for researchers and practitioners. This session is an opportunity to discover how ‘rpact’ and ‘RPACT Cloud’ can streamline your clinical trial planning and execution.
Agenda
| 16:20 - 16:30 | Capabilities of RPACT (Friedrich) |
| 16:30 - 16:40 | Parallelized Simulations with rpact: FDA Simulation Example (Gernot) |