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RARtool: A MATLAB Software Package for Designing Response-Adaptive Randomized Clinical Trials with Time-to-Event Outcomes.
Ryeznik, Yevgen; Sverdlov, Oleksandr; Wong, Weng Kee.
Afiliação
  • Ryeznik Y; Department of Mathematics, Uppsala University, Lägerhyddsvägen 1, Hus 1, 5 och 7, Box 480, 751 06, Uppsala, Sweden, yevgen.ryeznik@math.uu.se.
  • Sverdlov O; R&D Global Biostatistics, EMD Serono, Inc., 45A Middlesex Turnpike, Billerica, MA 01821, United States of America, alex.sverdlov@emdserono.com.
  • Wong WK; Department of Biostatistics, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, CA 90095, United States of America, wkwong@ucla.edu.
J Stat Softw ; 66(1)2015 Aug 01.
Article em En | MEDLINE | ID: mdl-26997924
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Ano de publicação: 2015 Tipo de documento: Article