In clinical trial design, simulations are essential for evaluating potential designs and optimizing features like sample size, allocation, randomization, milestones, and decision criteria. However, simulations require thousands of repeated experiments and long execution times, and the demand is too overwhelming for workflows that are informal, interactive, or single-threaded. Using {targets}, a pipeline tool for reproducible analysis, and {crew}, a flexible {mirai}-based framework for distributed computing, this workshop showcases a powerful approach to conduct large-scale clinical trial simulations.
- Slides: https://wlandau.github.io/rpharma2023
- Code: https://github.com/wlandau/rpharma2023-pipeline
- Video: https://youtu.be/cyF2dzloVLo?si=Bc0uXfuTQm96eiRt
targetswebsite: https://docs.ropensci.org/targets/targetsuser manual: https://books.ropensci.org/targets/