Robust Response-Adaptive Randomization Design

View Researcher's Other Codes

Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).

Authors Thevaa Chandereng, Rick W. Chappell
Journal/Conference Name arXiv preprint arXiv:1904.07758
Paper Category
Paper Abstract In clinical trials, patients are randomized with equal probability among treatments to obtain an unbiased estimate of the treatment effect. However, response-adaptive randomization has been proposed due to ethical reasons, especially in rare diseases where randomization ratio is tilted to favor the better performing treatment. The substantial disagreement regarding time-trends in adaptive randomization is not fully addressed. The type I error is inflated in the traditional Bayesian adaptive randomization approach when time-trend is present. In our approach, patients are assigned in blocks and the randomization ratio is recomputed for blocks rather than traditional adaptive randomization where it is done per patient. We further investigate the design with a range of scenario for both frequentist and Bayesian design. We compare our method with equal randomization and with different number of blocks including traditional response-adaptive randomization design where randomization ratio is altered patient by patient basis. The analysis is done in stratification if there is two or more patient in each block. Having a large number of blocks or randomizing a few subjects into a block should be avoided due to the possibility of not acquiring any information from the block(s). On the other hand, response-adaptive randomization with a small number of blocks has a good balance between efficiency and treating more subjects to the better-performing treatment.
Date of publication 2019
Code Programming Language R
Comment

Copyright Researcher 2021