2013
DOI: 10.1007/978-3-319-00218-7_12
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Randomly Reinforced Urn Designs Whose Allocation Proportions Converge to Arbitrary Prespecified Values

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Cited by 2 publications
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“…Besides rare exceptions such as the response adaptive design of Aletti et al [1] that a two-color RRPU can target fixed asymptotic allocations (see also [17]), a design driven by the RRPU usually allocates patients in an optimal manner so that the proportion of patients assigned to the best treatment converges to 1. However, it is important to know the (expected) number of patients in each treatment when the statistical test for the treatment differences and the power of the test are considered.…”
Section: Introductionmentioning
confidence: 98%
“…Besides rare exceptions such as the response adaptive design of Aletti et al [1] that a two-color RRPU can target fixed asymptotic allocations (see also [17]), a design driven by the RRPU usually allocates patients in an optimal manner so that the proportion of patients assigned to the best treatment converges to 1. However, it is important to know the (expected) number of patients in each treatment when the statistical test for the treatment differences and the power of the test are considered.…”
Section: Introductionmentioning
confidence: 98%
“…For many adaptive designs in the literature, the proportion of patients allocated to each treatment converges to a limit in (0, 1). Besides rare exceptions such as the response adaptive design of Aletti et al [1] that a two-color RRPU can target fixed asymptotic allocations (see also [17]), a design driven by the RRPU usually allocates patients in an optimal manner so that the proportion of patients assigned to the best treatment converges to 1. However, it is important to know the (expected) number of patients in each treatment when the statistical test for the treatment differences and the power of the test are considered.…”
Section: Introductionmentioning
confidence: 99%