RARtool: A MATLAB software package for designing response-adaptive randomized clinical trials with time-to-event outcomes

Yevgen Ryeznik, Oleksandr Sverdlov, Weng Kee Wong

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1-22
Number of pages22
JournalJournal of Statistical Software
Volume66
Issue number1
DOIs
Publication statusPublished - 2015 Aug 1

All Science Journal Classification (ASJC) codes

  • Software
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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