Please note the time of the presentation will be at 9:00 am-10:00 am on Monday, February 4th, 2019. Breakfast will be served.
Special Presentation with Yanqing Wang, PhD
Candidate for the Division of Biostatistics/BCC Position
Postdoctoral Fellow
Department of Biostatistics and Biomathematics
Fred Hutchinson Cancer Research Center
Presentation Title:
Learning-based Biomarker-assisted Rules for Optimized Clinical Benefit under a Risk-constraint
Brief Abstract:
Novel biomarkers, in combination with currently available clinical information, have been sought to improve clinical decision making in many branches of medicine, including screening, surveillance, and prognosis. Statistical methods are needed to integrate such diverse information to develop targeted intervention that balances benefit and harm. In the specific setting of disease detection, we propose novel approaches to construct a multiple-marker-based decision rule by directly optimizing a benefit function, while controlling harm at a maximally tolerable level. The new approaches include plug-in and direct-optimization--based algorithms, and they allow for the construction of both nonparametric and parametric rules. A study of asymptotic properties of the proposed estimators is provided. Simulation results demonstrate good clinical utilities for the resulting decision rules under various scenarios. The methods are applied to a biomarker study in prostate cancer surveillance.
Putri Kusumo
(312) 908-1718
Email