title: RARtool: A MATLAB Software Package for Designing Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes.
abstract: Response-adaptive randomization designs are becoming increasingly popular in clinical trial practice. In this paper, we presentRARtool, a user interface software developed in MATLAB for designing response-adaptive randomized comparative clinical trials with censored time-to-event outcomes. TheRARtoolsoftware 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 ourRARtoolsoftware by redesigning a survival trial from the literature.
authors.affiliation: Department of Mathematics, Uppsala University, Lägerhyddsvägen 1, Hus 1, 5 och 7, Box 480, 751 06, Uppsala, Sweden, yevgen.ryeznik@math.uu.se.
authors.forename: Yevgen
authors.initials: Y
authors.lastname: Ryeznik
authors.affiliation: R&D Global Biostatistics, EMD Serono, Inc., 45A Middlesex Turnpike, Billerica, MA 01821, United States of America, alex.sverdlov@emdserono.com.
authors.forename: Oleksandr
authors.initials: O
authors.lastname: Sverdlov
authors.affiliation: Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, United States of America, wkwong@ucla.edu.
authors.forename: Weng Kee
authors.initials: WK
authors.lastname: Wong
keywords: MATLAB; adaptive design; censored data; delayed responses; multi-objective clinical trial; optimal allocation; response-adaptive randomization; survival trial