Welcome to the Etzioni Lab: Modeling and Data Science for Population Studies

The Etzioni Lab focuses on innovative statistical and computer modeling to study cancer control outcomes. Our team includes experts in simulation modeling, survival analysis, Bayesian methods, statistical programming, and data visualization. We aim to develop a deeper, mechanistic understanding of cancer progression to project intervention benefits and harms.

  Multi-cancer early detection:

• Examining methods to estimate diagnostic performance across studies.
• Building models to support clinical recommendations for multi-cancer screening.
• Addressing evidence gaps in evaluating novel cancer diagnostics.

Major methodologic interests:

• Estimation of lead time and overdiagnosis.
• Quantifying overdiagnosis in prostate cancer screening in the US.
• Breast cancer screening overdiagnosis analyses.
• Development of Bayesian models for studying longitudinal biomarker trajectories and disease transitions.
• Studying prostate cancer progression in men on active surveillance and those with biochemical recurrence.

Applied research:

• Leads the Biostatistics Core for the Pacific Northwest Prostate Cancer SPORE.
• Central consulting resource for prostate cancer investigators at Fred Hutch and the University of Washington.