Shift in re‐randomization distribution with conditional randomization test. (14th February 2013)

• Record Type: Journal Article
• Authors: Kuznetsova, Olga M.; Tymofyeyev, Yevgen
• Is Part Of: Pharmaceutical statistics. Volume 12:Number 2(2013:Mar./Apr.)
• Page Start: 82
• Page End: 91
• Publication Date: 2013-02-14
• Subjects: Pharmacy -- Statistical methods -- Periodicals; Pharmacy -- Statistics -- Periodicals; 615.10727
• DOI: 10.1002/pst.1556
• Languages: English
• ISSNs: 1539-1604

Abstract

<abstract abstract-type="main" id="pst1556-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p>Proschan, Brittain, and Kammerman made a very interesting observation that for some examples of the unequal allocation minimization, the mean of the unconditional randomization distribution is shifted away from 0. Kuznetsova and Tymofyeyev linked this phenomenon to the variations in the allocation ratio from allocation to allocation in the examples considered in the paper by Proschan <italic>et al.</italic> and advocated the use of unequal allocation procedures that preserve the allocation ratio at every step. In this paper, we show that the shift phenomenon extends to very common settings: using conditional randomization test in a study with equal allocation. This phenomenon has the same cause: variations in the allocation ratio among the allocation sequences in the conditional reference set, not previously noted. We consider two kinds of conditional randomization tests. The first kind is the often used randomization test that conditions on the treatment group totals; we describe the variations in the conditional allocation ratio with this test on examples of permuted block randomization and biased coin randomization. The second kind is the randomization test proposed by Zheng and Zelen for a multicenter trial with permuted block central allocation that conditions on the within‐center treatment totals. On the basis of the sequence of conditional allocation ratios, we derive the value of the shift in the conditional randomization distribution for specific vector of responses and the expected value of the shift when responses are independent identically distributed random variables. We discuss the asymptotic behavior of the shift for the two types of tests. Copyright © 2013 John Wiley & Sons, Ltd.</p> </abstract>