Speakers
Description
Simulations are a great tool to support decisions on optimal trial designs. Trial designs have evolved from simple 2-arm treatment comparison to multi-arm dose-finding, adaptive designs, and platform trials. R is a popular and important tool for those in the pharmaceutical industry. R6 programming and supporting R functions have allowed us to design a package rxsim that is flexible enough to handle different designs with minimal change of program. Specifically, we broke apart the design of a trial into different classes with their own methods for customization on trial designs and analyses with minimal coding. The package is workflow and pipeline friendly and natively works with {targets}, tidyverse, thus can be incorporated into a rapid iterative prototyping process for trial designs. This will make trial simulations a commodity and the code more reusable, standard, and reliable. From here we can hope to standardize programming of R-based trial simulations across industry and regulatory.
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| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | simulation, biostatistics, R6 |
|---|---|
| Virtual Option | This submission is for onsite presentation only |
| Material License | Apache 2.0 License |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |