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dc.contributor.supervisor Wang, Xikui (Statistics), Yi, Yanqing (Statistics) en_US
dc.contributor.author Zhang, Yu
dc.date.accessioned 2013-01-08T18:32:23Z
dc.date.available 2013-01-08T18:32:23Z
dc.date.issued 2013-01-08
dc.identifier.uri http://hdl.handle.net/1993/14424
dc.description.abstract Response adaptive designs are developed for ethical considerations, which sequentially modify the treatment allocations based on the accumulating information in the trial so more patients receive the potentially better treatment. Yi and Wang (2009) proposed a variance-penalized criterion to evaluate the performance of a response adaptive design based on the expected number of patients assigned to the better treatment and the power of statistical test. We use the variance-penalized criterion to examine different response adaptive randomization procedures for normally distributed responses. We propose a new target allocation proportion which increases the chance that more patients receive the better treatment. Simulation results indicate that our proposed design has the advantage of assigning more patients to the potentially better treatment with minimum loss in statistical power, and our design performs better than the designs in the literature based on the variance-penalized criterion. en_US
dc.subject Biostatistics en_US
dc.subject Design of clinical trials en_US
dc.title Response adaptive designs for clinical trials with continuous outcomes en_US
dc.degree.discipline Statistics en_US
dc.contributor.examiningcommittee Mandal, Saumen (Statistics), Shivakumar, Pappur (Mathematics) en_US
dc.degree.level Master of Science (M.Sc.) en_US
dc.description.note February 2013 en_US


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