Frontiers in Biostatistics Seminar
Tuesday March 12, 2024 @ 1pm ET
Dr. Bansal will be presenting virtually, but we will have a watch party in the Center for Life Sciences Building, Room 11081. Light refreshments will be provided.
Aasthaa Bansal, PhD
Associate Professor, The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute, University of Washington
Joint Associate Professor, Public Health Sciences Division
Joint Associate Professor, Hutchinson Institute for Cancer Outcomes Research (HICOR)
Fred Hutch Cancer Center
Abstract: Frequent surveillance testing using biomarkers is recommended and routinely conducted in several disease settings. Although surveillance tests provide information about current disease status and present an opportunity to detect disease progression early, the complications and costs of frequent tests may not be justified for patients who are at low risk of progression. I will discuss our recently developed Personalized Risk-Adaptive Surveillance (PRAISE) framework, a method for embedding dynamic predictions into a sequential decision-making framework to determine the time point at which the next collection of biomarker data would be most valuable. I will demonstrate a preliminary application of the framework in cystic fibrosis and ongoing work in colorectal cancer to develop more cost-effective and personalized surveillance strategies.