Aasthaa Bansal, PhD

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Dr. Aasthaa Bansal PhD
FACULTY MEMBER

Aasthaa Bansal, PhD

Associate Professor, Public Health Sciences Division, Fred Hutch

Associate Professor
Public Health Sciences Division, Fred Hutch

Associate Professor, Hutchinson Institute for Cancer Outcomes Research (HICOR), Fred Hutch

Associate Professor
Hutchinson Institute for Cancer Outcomes Research (HICOR), Fred Hutch

Member, Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Member
Translational Data Science Integrated Research Center (TDS IRC), Fred Hutch

Fax: 206.543.3835
Mail Stop: M3-B232

Dr. Aasthaa Bansal is a biostatistician who does comparative effectiveness research — assessing clinical and public health interventions to see what works best for improving health. Her areas of focus include analysis of survival and other health outcomes; statistical methods for developing and evaluating biomarkers; and precision, or personalized, medicine. She works with the Hutchinson Institute for Health Outcomes Research, or HICOR, where she has helped analyze survival, cost and resource utilization in prostate and colorectal cancer; studied bankruptcy in cancer patients; used cure modeling (a type of tool to analyze cancer survival data) to develop methods for economic analysis; and investigated disparities in cancer treatment and outcomes.

Other Appointments & Affiliations

Associate Professor, Pharmaceutical Outcomes Research & Policy Program, Department of Pharmacy, University of Washington

Associate Professor, Pharmaceutical Outcomes Research & Policy Program
Department of Pharmacy, University of Washington

Education

University of Washington, 2011, PhD (Biostatistics)

University of Washington, 2008, MS (Biostatistics)

University of Waterloo, 2006, BMath (Computer Science: Bioinformatics Option)

Research Interests

Comparative effectiveness research, with a focus on health outcomes and survival analysis

Methods for developing and evaluating biomarkers and prediction models for dynamic decision-making

Methods for the analysis of observational data

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