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Related Experiment Videos

A flexible random allocation program for multi-institutional clinical trials

T Odaka1, K Akazawa, Y Watanabe

  • 1Department of Information Science, Faculty of Engineering, Fukui University.

Journal of Medical Systems
|February 1, 1994
PubMed
Summary
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This study introduces a flexible random allocation program for multi-institutional clinical trials. It efficiently assigns treatments based on prognostic factors, optimizing patient group balance.

Area of Science:

  • Clinical Trials Methodology
  • Biostatistics
  • Health Informatics

Background:

  • Randomization is crucial for unbiased clinical trials.
  • Multi-institutional trials require robust allocation methods to balance patient groups.
  • Existing methods may lack flexibility in handling multiple prognostic factors and institutions.

Purpose of the Study:

  • To present a flexible random allocation program for multi-institutional clinical trials.
  • To describe a program that assigns treatments based on prognostic factors.
  • To detail methods for balancing institutions and treatments.

Main Methods:

  • The program utilizes Pocock and Simon's minimization method.
  • Zelen's method is incorporated for institution balancing.

Related Experiment Videos

  • The system allows arbitrary settings for institutions, treatments, and prognostic factors.
  • Main Results:

    • The program demonstrates flexibility in accommodating varying numbers of parameters.
    • It is limited only by computer main memory size.
    • An example shows capacity for 1500 institutions, 4 treatments, and 20 factors on an IBM-PC.

    Conclusions:

    • The developed program offers a flexible and efficient solution for complex clinical trial randomization.
    • It supports the balanced allocation of treatments considering multiple prognostic factors across institutions.
    • The software is adaptable to diverse trial designs and resource constraints.