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RARtool: A MATLAB Software Package for Designing Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes

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  • Ryeznik, Yevgen
  • Sverdlov, Oleksandr
  • Wong, Weng Kee

Abstract

Response-adaptive randomization designs are becoming increasingly popular in clinical trial practice. In this paper, we present RARtool, a user interface software developed in MATLAB for designing response-adaptive randomized comparative clinical trials with censored time-to-event outcomes. The RARtool software can compute different types of optimal treatment allocation designs, and it can simulate response-adaptive randomization procedures targeting selected optimal allocations. Through simulations, an investigator can assess design characteristics under a variety of experimental scenarios and select the best procedure for practical implementation. We illustrate the utility of our RARtool software by redesigning a survival trial from the literature.

Suggested Citation

  • Ryeznik, Yevgen & Sverdlov, Oleksandr & Wong, Weng Kee, 2015. "RARtool: A MATLAB Software Package for Designing Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 66(i01).
    • Handle: RePEc:jss:jstsof:v:066:i01
    DOI: http://hdl.handle.net/10.18637/jss.v066.i01
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    References listed on IDEAS

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    1. Tymofyeyev, Yevgen & Rosenberger, William F. & Hu, Feifang, 2007. "Implementing Optimal Allocation in Sequential Binary Response Experiments," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 224-234, March.
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