A General Scheme for Sequential Treatment Allocation with Balancing for Prognostic Factors in Clinical Trials

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Abstract

A general family of dynamic treatment allocations is defined, and it is shown that the permuted block procedure (Zelen 1974) and Begg and Iglewicz method (1980) are extreme choices in this family. A compromise method is suggested. The framework of this general family allows the relationships between these methods to be examined. By means of a simulation study these three methods plus the complete randomization method are compared in terms of efficiency and balance. The compromise method is shown to have good overall properties. In addition, an illustrative example is given.

Original languageEnglish
Pages (from-to)243-253
Number of pages11
JournalCommunications in Statistics Part B: Simulation and Computation
Volume20
Issue number1
DOIs
StatePublished - 1 Jan 1991

Bibliographical note

Funding Information:
This work was begun while the first author was visiting the Department of Biostatistics, Harvard School of Public Health and was partially supported by a grant from the National Cancer Institute, National Institute of Health, CA-23415. The strocd author was on leave from the University of Haifa. We would like to thank Professor Iglewicz and a referee for their very helpful comments .

Keywords

  • balance
  • clinical trials
  • dynamic treatment allocation
  • permuted block
  • randomization
  • stratification
  • variance minimization

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation

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