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RARtool: A MATLAB Software Package for Designing Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics.
EMD Serono Inc, R&D Global Biostat, Billerica, MA 01821 USA..
Univ Calif Los Angeles, Fielding Sch Publ Hlth, Dept Biostat, Los Angeles, CA 90095 USA..
2015 (English)In: Journal of Statistical Software, ISSN 1548-7660, E-ISSN 1548-7660, Vol. 66, no 1Article in journal (Refereed) PublishedText
Abstract [en]

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.

Place, publisher, year, edition, pages
2015. Vol. 66, no 1
Keyword [en]
adaptive design, censored data, delayed responses, MATLAB, multi-objective clinical trial, optimal allocation, response-adaptive randomization, survival trial
National Category
Mathematics Software Engineering
URN: urn:nbn:se:uu:diva-271059ISI: 000365976300001OAI: diva2:891075
NIH (National Institute of Health), R01GM107639
Available from: 2016-01-05 Created: 2016-01-05 Last updated: 2016-01-14Bibliographically approved

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