Aasthaa Bansal
Associate Professor
CHOICE Faculty, Department of Pharmacy, Institute for Innovative Pharmacy Practice, Pharmacy Faculty, School Faculty
Expertise:
Education
- Ph.D. Biostatistics, University of Washington, Seattle, WA
- M.S. Biostatistics, University of Washington, Seattle, WA
- B.Math. Honors Computer Science: Bioinformatics Option, University of Waterloo, Waterloo, Ontario
Courses Taught
- BIOST 512: Medical Biometry II
- HEOR 552 Application of Machine Learning in Health Economics and Outcomes Research
Research Interests
- Clinical decision sciences
- Development and evaluation of prediction models
- Comparative effectiveness and outcomes research
Biography
Dr. Bansal’s research focuses on sequential decision-making using longitudinal data, prediction modeling, decision theoretic methods including value of information analysis, and comparative effectiveness and outcomes research using large healthcare claims databases and EHR data. She is the PI of a study to develop methods for cost-effective personalized risk-adaptive surveillance in cancer.
Selected Publications
https://www.ncbi.nlm.nih.gov/myncbi/aasthaa.bansal.1/bibliography/public/