The Etzioni Lab focuses on innovative statistical and computer modeling to project the comparative outcomes of cancer control interventions. Our projects “go beyond the data” in an effort to develop a deeper, more mechanistic understanding of cancer progression.
Recent projects have used modeling to:
Our work on cancer modeling is part of a broader research program that includes methodologic as well as applied research. A major area of methodologic interest is the estimation of lead time and overdiagnosis, which was the subject of a recent Research and Methods publication in the Annals of Internal Medicine. Other methods work includes the development of Bayesian models and methods to study longitudinal biomarker trajectories and their associations with disease transitions in the pre- and post-diagnosis settings. In the coming years, we will be using these methods to study disease progression in the active surveillance setting with the goals of developing policy recommendations for management of newly-diagnosed, low-risk prostate cancer.
In addition to these projects, the Etzioni Lab leads the Biostatistics Core for the Pacific Northwest Prostate Cancer SPORE and serves as a central consulting resource for the prostate cancer investigators at the FHCRC, the SCCA, and the University of Washington. Our investigators are statisticians with broad expertise in data analysis, simulation modeling, Bayesian methods, computer programming, and graphics.