Our team (Roman Gulati, Ruth Etzioni, Tomas Corey, Jane Lange, Teresa A’mar) celebrating the last day of summer. We said goodbye to our summer intern (Tomas) and hello to our new colleague Teresa A'mar, who joins us from NOAA. Teresa has a PhD in quantitative ecology and has been working on modeling fish populations for NOAA. We hope she will be even happier here modeling human populations.
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” to develop a deeper, more mechanistic understanding of cancer progression which we use to quantify the relative benefits and harms of candidate interventions and policies.
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. Our group was the first to quantify the extent of overdiagnosis associated with prostate cancer screening in the US and we are also active in development of best practices for estimating overdiagnosis in breast cancer screening. 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. We are using these these methods to study disease progression following PSA recurrence as well as in the active surveillance setting.
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, statistical programming, and advanced graphics.