A randomized adaptive allocation scheme is a design in which the probability a treatment is administered to each patient depends upon the results of the previous patients in the study. Typically, an arm that is doing well is more likely to be allocated to future patients than an arm that is doing poorly. Occasionally, ethical and/or practical considerations suggest that such designs may be appropriate. However, many issues need to be addressed in order to run the trial properly. Among these are studies with more than two arms, the logistics behind the trial, delayed patient response, and inferences drawn from data collected in this manner. This paper demonstrates ways these issues can be resolved, and presents some modifications to the current literature. A simulation study demonstrates the operating characteristics of the design.
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Univ Alberta, Alberta Res Ctr Child Hlth Evidence, Dept Pediat, Edmonton, AB T6G 2G1, CanadaUniv Alberta, Dept Math & Stat Sci, Edmonton, AB T6G 2G1, Canada
Liang, Yuanyuan
Carriere, Kimmie Chough
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Univ Alberta, Dept Math & Stat Sci, Edmonton, AB T6G 2G1, CanadaUniv Alberta, Dept Math & Stat Sci, Edmonton, AB T6G 2G1, Canada
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Univ Rouen, F-76801 St Etienne, France
CNRS, Lab Math Raphael Salem, ERIS, UMR 6085, F-76801 St Etienne, FranceUniv Rouen, F-76801 St Etienne, France
Lecoutre, Bruno
Elqasyr, Khadija
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Univ Rouen, F-76801 St Etienne, France
CNRS, Lab Math Raphael Salem, ERIS, UMR 6085, F-76801 St Etienne, FranceUniv Rouen, F-76801 St Etienne, France