Contact:
Department of Pharmacy
University of Washington
Box 357630
Seattle, WA 98195
Email:
Dr. Bansal is an Associate Professor at
The Comparative Health Outcomes, Policy, and Economics (CHOICE) Institute,
University of Washington (UW). Her research focuses on biomarkers and prediction models for dynamic decision making and comparative effectiveness and outcomes research using large healthcare databases. She holds a joint appointment at the Fred Hutchinson Cancer Center,
where she collaborates primarily with investigators at the
Hutchinson Institute for Cancer Outcomes Research (HICOR). At
HICOR, she has been a co-investigator on a PCORI-funded large pragmatic trial, as well as projects involving the analysis of survival, costs and resource utilization in cancer, studying bankruptcy among cancer patients, using cure modeling to develop methods for economic analysis and investigating disparities in cancer treatment and outcomes.
Her recent honors include a seven-year Method to Extend Research in Time (MERIT) R37 award from the National Cancer Institute to develop a dynamic decision-making framework that utilizes machine learning to identify personalized risk-adaptive surveillance strategies among cancer survivors. This research seeks to shift the paradigm of how routinely collected patient information is used for clinical management, by innovatively coupling data-adaptive prediction modeling with decision theory (value of information methods) and implementing the framework on rich electronic health record data. She has also been the recipient of the American Statistical Association’s Statistics in Epidemiology Young Investigator Award, the ISPOR Bernie J. O'Brien New Investigator Award, and Best New Investigator Podium and Poster Presentation awards from ISPOR for her work on innovatively applying prediction models and cure models in health economics and outcomes research.
Prior to this, she completed a postdoctoral fellowship at the UW Department of Biostatistics, where she focused on statistical methods for the evaluation of prognostic biomarkers and models for predicting survival outcomes. During this time, she also collaborated with academic investigators on the design and analysis of studies in cancer screening and treatment, chronic illness management and organ allocation. Going back further, she received her PhD at UW Biostatistics (Dissertation title: Combining Biomarkers to Improve Performance in Diagnostic Medicine) and a BMath in Computer Science: Bioinformatics option from the University of Waterloo. Over the course of her undergraduate studies, she completed internships at The Hospital for Sick Children, Cangene Corporation, and The Royal College of Surgeons in Ireland.
Her recent honors include a seven-year Method to Extend Research in Time (MERIT) R37 award from the National Cancer Institute to develop a dynamic decision-making framework that utilizes machine learning to identify personalized risk-adaptive surveillance strategies among cancer survivors. This research seeks to shift the paradigm of how routinely collected patient information is used for clinical management, by innovatively coupling data-adaptive prediction modeling with decision theory (value of information methods) and implementing the framework on rich electronic health record data. She has also been the recipient of the American Statistical Association’s Statistics in Epidemiology Young Investigator Award, the ISPOR Bernie J. O'Brien New Investigator Award, and Best New Investigator Podium and Poster Presentation awards from ISPOR for her work on innovatively applying prediction models and cure models in health economics and outcomes research.
Prior to this, she completed a postdoctoral fellowship at the UW Department of Biostatistics, where she focused on statistical methods for the evaluation of prognostic biomarkers and models for predicting survival outcomes. During this time, she also collaborated with academic investigators on the design and analysis of studies in cancer screening and treatment, chronic illness management and organ allocation. Going back further, she received her PhD at UW Biostatistics (Dissertation title: Combining Biomarkers to Improve Performance in Diagnostic Medicine) and a BMath in Computer Science: Bioinformatics option from the University of Waterloo. Over the course of her undergraduate studies, she completed internships at The Hospital for Sick Children, Cangene Corporation, and The Royal College of Surgeons in Ireland.