An Easily Accessible Web-Based Minimization Random Allocation System for Clinical Trials

• Main Authors: Xiao, Lan (Author), Huang, Qiwen (Author), Yank, Veronica (Author), Ma, Jun (Author)
• Format: Book
• Published: JMIR Publications, 2013-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary

BackgroundMinimization as an adaptive allocation technique has been recommended in the literature for use in randomized clinical trials. However, it remains uncommonly used due in part to a lack of easily accessible implementation tools. ObjectiveTo provide clinical trialists with a robust, flexible, and readily accessible tool for implementing covariate-adaptive biased-coin randomization. MethodsWe developed a Web-based random allocation system, MinimRan, that applies Pocock-Simon (for trials with 2 or more arms) and 2-way (currently limited to 2-arm trials) minimization methods for trials using only categorical prognostic factors or the symmetric Kullback-Leibler divergence minimization method for trials (currently limited to 2-arm trials) using continuous prognostic factors with or without categorical factors, in covariate-adaptive biased-coin randomization. ResultsIn this paper, we describe the system's essential statistical and computer programming features and provide as an example the randomization results generated by it in a recently completed trial. The system can be used in single- and double-blind trials as well as single-center and multicenter trials. ConclusionsWe expect the system to facilitate the translation of the 3 validated random allocation methods into broad, efficient clinical research practice.

Item Description

1438-8871
10.2196/jmir.2392