Statistical Challenges in Personalized Medicine Bridging Studies
*Xiao-Hua Andrew Zhou, Professor, Department of Biostatistics, University of Washington Keywords: Personalized medicine; biomarker, covriate-specific treatment effect curve For time-to-event data in a randomized clinical trial, we discuss two new methods for selecting an optimal treatment for a patient based on the Covariate-Specific Treatment Effect (CTE) Curve, which is used to represent the clinical utility of a predictive biomarker. To select an optimal treatment for a patient with a specific biomarker value, we propose pointwise confidence intervals for each CTE curve and the difference between CTE curves of two treatments. Furthermore, to select an optimal treatment for a future biomarker-defined sub- population of patients, we propose confidence bands for each CTE curv and the difference between each pair of CTE curve over a fixed interval of biomarker values. We constructed the confidence bands, based on a resampling technique. We also conducted simulation studies to evaluate finite-sample properties of the proposed estimation methods. Finally, we illustrated the application of the proposed method in a real-world data set. This is a joint work with Dr. Yunbei Ma.
|
Key Dates
-
November 1 - December 17, 2013
Online proposal submission for a session, short course and Town Hall Open -
January 6 - March 11, 2014
Online proposal submission for Roundtables Open -
April 30 - May 28, 2014
Abstract Submission Open -
June 4, 2014
Online Registration Opens -
August 8 - August 22, 2014
Invited Abstract Editing -
August 11, 2014
Short Course materials due from Instructors -
September 1, 2014
Housing Deadline -
September 15, 2014
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 22 - September 24, 2014
Marriott Wardman Park, Washington, DC