Abstract

This paper derives a new randomization procedure by conditioning Efron’s (1971) biased coin design to a prespecified final balance. The new procedure remains a function of the original bias parameter which now controls the probability of intermediate balance rather than final balance. As the sample size increases, the design has comparable selection bias and intermediate balance as the original biased coin but is self-correcting towards the end when balance must be met. It is also shown that the permuted block design for equal allocation is a special case of the new procedure when used in blocks. The latter can substitute the permuted blocks with the added benefit of reducing the expected number of deterministic assignments. The new design is also noteworthy since it shows that a randomization procedure with new properties can be obtained by conditioning an existing one to a subset in its allocation space. New relationships among existing designs can be established in the process, further elucidating the protean nature of randomization.

Highlights

  • Efron’s (1971) biased coin design is the oldest restricted randomization procedure proposed to mediate between balance and randomness of treatment assignments in clinical trials

  • In the same example, when the permuted block design is used in blocks of size 4 [4, 13] the probability of final balance is 1 but the expected number of deterministic assignments is on average 2n1/(b + 1) ≈ 33 [2]

  • The conditional biased coin design in blocks emerges as a better option compared to the permuted block design for equal allocation when it comes to forcing intermediate balance periodically, achieving final balance, and reducing the total number of deterministic assignments

Read more

Summary

Introduction

Efron’s (1971) biased coin design is the oldest restricted randomization procedure proposed to mediate between balance and randomness of treatment assignments in clinical trials. In the same example, when the permuted block design is used in blocks of size 4 [4, 13] the probability of final balance is 1 but the expected number of deterministic assignments is on average 2n1/(b + 1) ≈ 33 [2]. The random allocation rule is the random mechanism used to fill the blocks in the permuted block design, but can be viewed as a randomization procedure in itself This paper derives a new procedure that guarantees final balance by conditioning the biased coin design to yield only balanced sequences as in the case of the random allocation rule, the maximal procedure and the permuted block design.

Procedure
The conditional biased coin design
Selection bias
Inference
Model-based inference with the conditional biased coin design
Re-randomization tests with the conditional biased coin design
Discussion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.