This repository contains the R code (backfill_RAR_simulation_code.R) necessary to replicate the results presented in the paper "Implementing and assessing Bayesian response-adaptive randomisation for backfilling in dose-finding trials" by Pin et al. The code provides an in-depth look into the Bayesian response-adaptive randomisation (RAR) methodology applied to dose-finding trials, focusing on backfilling scenarios.
The paper by Pin et al. introduces a novel approach to enhance the efficiency and effectiveness of dose-finding clinical trials through Bayesian RAR. The specific focus on backfilling eight differen scenarios provides critical insights and strategies for dose-finding trial designs.
Before you run the simulation code, ensure you have R installed on your computer.
This code has been devoloped by Hakim Dehbi (Comprehensive Clinical Trials Unit at University College London, London, UK) and Lukas Pin (MRC Biostatistics Unit at University of Cambridge, Cambridge, UK). Contact: lukas.pin@mrc-bsu.cam.ac.uk