1995
DOI: 10.1214/lnms/1215451477
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Biased coin designs: some properties and applications

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Cited by 5 publications
(7 citation statements)
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“…By using martingale methods and the law of the iterated logarithm, we prove asymptotic normality of allocation proportions under some general conditions. It is shown that the allocation function of the example in Eisele (1994Eisele ( , 1995 satisfies the conditions here.…”
Section: Preliminariesmentioning
confidence: 78%
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“…By using martingale methods and the law of the iterated logarithm, we prove asymptotic normality of allocation proportions under some general conditions. It is shown that the allocation function of the example in Eisele (1994Eisele ( , 1995 satisfies the conditions here.…”
Section: Preliminariesmentioning
confidence: 78%
“…Eisele and Woodroofe (1995) studied the asymptotic properties of doubly adaptive biased coin designs (for two treatments) under some very restrictive conditions on allocation functions. Indeed, as pointed out by Melfi, Page and Geraldes (2001): "the example given in their papers [Eisele (1994[Eisele ( , 1995] makes use of an allocation function which does not even satisfy these conditions! "…”
Section: Preliminariesmentioning
confidence: 99%
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“…Biased coin designs are used when researchers need to balance the number of subjects in each treatment condition-which is often not achieved with conventional coin designs. This form of randomization ensures that a certain minimum number of subjects gets randomized to the treatment condition [16]. In this study, two randomization protocols are applied, each of which depends on the number of active participants.…”
Section: Randomization and Sample Sizementioning
confidence: 99%
“…Bu süreç her bir atama işleminde tekrarlanmaktadır. Bu yöntemin aşamaları aşağıda adımlar halinde verilmektedir 4,9,[11][12][13] .…”
Section: Introductionunclassified