"Limb-Leaf Designs for Adaptive Exploration of the Dose-Response Curve"
Bin Cheng, PhD
Professor
Department of Biostatistics, Mailman School of Public Health
Dr. Cheng will propose a two-stage strategy, called the Limb-Leaf method, to explore the dose-response curve using dose promotion and addition in the context of adaptive seamless Phase II/III trials. Strong control of the overall type 1 familywise error rate of the proposed method is enforced by the closed testing principle. The design constants are determined to minimize the risk-adjusted expected total sample size while maintaining a target power. In the case of a non-monotonic dose response curve where more doses are required to adequately explore the curve, substantial savings in sample size are achieved compared with a traditional strategy which offers only selection and promotion from among initial first stage doses.
Register here: https://www.eventbrite.com/e/limb-leaf-designs-for-adaptive-exploration-of-the-dose-response-curve-tickets-51756354650
For questions, please contact Cody Chiuzan at
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