The Division of Biostatistics at the Department of Preventive Medicine invites you to attend the following seminar by our guest speaker, Dr. Haitao Pan of St. Jude Children’s Research Hospital.
Date: TODAY, September 24, 2018
Time: 2 P.M.
Place: 4th Floor Conference Room 400 in the Doctors Office Building at 66 N. Pauline Street, Memphis, TN 38105. Please park in the multi-story parking garage adjacent to the Doctors Office Building, and bring your parking card with you so we can give you a validation ticket.
ZOOM Virtual Room Connection: If you cannot join us in person, please join us in our virtual conference room at https://tennessee.zoom.us/j/476519327.
Presenter: Haitao Pan, Ph.D., Assistant Member, Department of Biostatistics at St. Jude Children’s Research Hospital.
Title: Keyboard Design for Phase I Drug-Combination Trials
Abstract: The keyboard design is a novel model-assisted dose-finding method to find the maximum tolerated dose (MTD) for single-agent trials. The keyboard design is easy to implement and has superior performance. In this article, we extend the keyboard design to dual-agent dose-finding trials. The proposed keyboard combination trial design maintains the simplicity of the original single-agent keyboard design, and its dose escalation and de-escalation rules can be pre-tabulated before conducting the trial. We show that the keyboard combination design has desirable theoretical properties, including the optimality of its decision rules, coherence in dose transition, and convergence to the target dose. Extensive simulations are conducted to evaluate the performance of the proposed keyboard combination design using a novel, random two-dimensional dose–toxicity scenario generating algorithm. The simulation results confirm the desirable and competitive operating characteristics of the keyboard design. An R Shiny application is developed to facilitate implementing the keyboard combination design in practice.
We look forward to seeing you all among us.
Mehmet Kocak, Ph.D.
Associate Professor of Biostatistics
Department of Preventive Medicine, UTHSC