Intermediate Monitoring, Sample Size Reassessment, and Multi-Treatment Optimal Response-Adaptive Designs for Phase III Clinical Trials with More Than One Constraint

Biswas, Atanu; Pal, Pinakpani

doi:10.1080/03610910902903125

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2014

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“…This will ensure that there is more than 0.5 probability of a participant being assigned to the new experimental treatment. Karrison et al (2003), Morgan (2003a,b), Morgan and Coad (2007), and Biswas and Pal (2009) in this connection. Thus, in practice, we encounter situations where we need to tackle the case of unequal sample sizes on the two treatments.…”

Section: Introductionmentioning

confidence: 92%

Unbalanced and Partial Group Sequential Methods for Normal Responses in Clinical Trials

Biswas

Mukherjee²,

Kim

2014

Sequential Analysis

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Group sequential methods for a two-treatment clinical trial with normal responses are discussed. First we consider the case where the sample sizes for two treatments are possibly unequal between the treatments due to an unequal randomization. Then we discuss group sequential design in the context of a historical control study, that is, under the partial sequential sampling scheme, in which the samples on one treatment, say control, are available at the outset, and the samples on the other treatment, say experimental, are obtained in the group sequential way. We discuss the cases of known and unknown variance for both unbalanced and partial group sequential setups. All of the procedures are discussed with numerical studies.

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Section: Introductionmentioning

confidence: 92%