Minimize the use of minimization with unequal allocation |
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Authors: | Proschan Michael Brittain Erica Kammerman Lisa |
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Affiliation: | Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, 6700A Rockledge Drive, Room 5140, Bethesda, Maryland 20892-7609, USA. ProschaM@niaid.nih.gov |
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Abstract: | Summary Minimization as an alternative to randomization is gaining popularity for small clinical trials. In response to critics’ questions about the proper analysis of such a trial, proponents have argued that a rerandomization approach, akin to a permutation test with conventional randomization, can be used. However, they add that this computationally intensive approach is not necessary because its results are very similar to those of a t ‐test or test of proportions unless the sample size is very small. We show that minimization applied with unequal allocation causes problems that challenge this conventional wisdom. |
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Keywords: | Adaptive randomization Analyze as you randomize Asymptotics Minimization Permuted block randomization Permutation test Randomization Rerandomization test Temporal trend Unequal allocation |
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