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Related Experiment Video

Updated: Jun 10, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Implementation and experience of a web-based allocation system with Pocock and Simon's minimization methods.

Hong Wei Cai¹, Jie Lai Xia, Dong Huai Gao

¹Information Center, School of Stomatology, The Fourth Military Medical University, 145 Changle West Road, Xi'an, Shaanxi 710032, China. hwcai@fmmu.edu.cn

Contemporary Clinical Trials

|August 3, 2010

Summary

Minimization, a complex clinical trial randomization method, is often underreported. We developed "MagMin," a centralized system simplifying its implementation, which has successfully randomized 5 trials and is currently used in 17 others.

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Last Updated: Jun 10, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Area of Science:

Clinical Trials Methodology
Biostatistics
Health Informatics

Background:

Minimization is a dynamic randomization technique recommended for clinical trials to balance patient characteristics.
Implementation complexity often leads to underutilization and infrequent reporting of minimization methods in trials.
A need exists for streamlined, centralized systems to facilitate the practical application of minimization.

Purpose of the Study:

To introduce "MagMin," a novel centralized random allocation system designed for implementing Pocock and Simon's minimization methods.
To demonstrate the practical application and organizational aspects of using the MagMin system in clinical trials.
To discuss challenges encountered and solutions developed during the implementation of the MagMin system.

Main Methods:

Development of a centralized random allocation system named "MagMin".
Utilized Pocock and Simon's established minimization algorithms within the MagMin system.
System has been operational since 2006, facilitating randomization for multiple clinical trials.

Main Results:

The MagMin system has been successfully employed in 5 completed clinical trial randomizations.
An additional 17 clinical trials are currently utilizing the MagMin system for ongoing randomization.
The paper provides a detailed example of system implementation, highlighting its practical utility.

Conclusions:

The MagMin system offers a viable and effective solution for overcoming the organizational complexities of minimization in clinical trials.
Centralized systems like MagMin can increase the adoption and reporting of advanced randomization techniques.
Further discussion on implementation issues and countermeasures supports the broader application of minimization.