
AbstractIn clinical studies, patients are usually accrued sequentially. Response‐adaptive designs are then useful tools for assigning treatments to incoming patients as a function of the treatment responses observed thus far. In this regard, doubly adaptive biased coin designs have advantageous properties under the assumption that their responses can be obtained immediately after testing. However, it is a common occurrence that responses are observed only after a certain period of time. The authors examine the effect of delayed responses on doubly adaptive biased coin designs and derive some of their asymptotic properties. It turns out that these designs are relatively insensitive to delayed responses under widely satisfied conditions. This is illustrated with a simulation study.
tables, Asymptotic distribution theory in statistics, asymptotic normality, clinical trial, response-adaptive design, Applications of statistics to biology and medical sciences; meta analysis, Sequential statistical design, adaptive design, strong consistency, variance estimation
tables, Asymptotic distribution theory in statistics, asymptotic normality, clinical trial, response-adaptive design, Applications of statistics to biology and medical sciences; meta analysis, Sequential statistical design, adaptive design, strong consistency, variance estimation
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