American Statistical Association
New York City
Metropolitan Area Chapter

Levin Lecture Series: Spring 2018 Colloquium Seminars
Department of Biostatistics
Columbia University



THE INTERVAL-BASED DOSE-FINDING DESIGNS

by

Yuan Ji
Director, Program of Computational Genomics & Medicine
NorthShore University HealthSystem

Host: Dr. Codruta "Cody" Chiuzan


Abstract

The landscape of dose-finding designs for phase I clinical trials is rapidly shifting in the recent years, noticeably marked by the emergence of interval-based designs. We categorize them as the iDesigns and the IB-Designs. The iDesigns are originated by the toxicity probability interval (TPI) designs and its two modifications, the mTPI and mTPI-2 designs. The IB-Designs started as the cumulative cohort design (CCD) and is recently extended by the BOIN design. We discuss the differences and similarities between these two classes of interval-based designs, and compare their simulation performance with popular non-interval designs, such as the CRM and 3+3 designs. We also show that in addition to the population-level operating characteristics from simulated trials, investigators should also assess the dose-finding decision tables from the implemented designs to better understand the per-trial and per-patient behavior. This is particularly important for nonstatisticians to assess the designs with transparency. We provide a comprehensive simulation-based comparative study on various interval-based dose-finding designs.


Date: Thursday, March 22, 2018
Time: 11:30 A.M. - 12:30 P.M.
Location: Mailman School of Public Health
Department of Biostatistics
722 West 168th Street
AR Building
8th Floor Auditorium
New York, New York

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