Bonnie Shook-Sa

Bonnie is a medical statistician working in a Cancer Research UK funded programme on the benefits and risks of cancer treatments at the Clinical Trial Service Unit & Epidemiology Studies Unit (CTSU). This programme combines information from high quality datasets to quantify long-term outcomes for people diagnosed with cancer. This research aids clinicians in decisions related to the benefits and risks of different cancer treatments. She also serves as an associate editor for the Journal of the Royal Statistical Society Series A: Statistics in Society.

Bonnie holds a BS in mathematics and a BA in political science from Marshall University, a Master of Applied Statistics from Ohio State University, and a Doctor of Public Health in biostatistics from the University of North Carolina at Chapel Hill. She has over 15 years of experience in collaborative population health research and statistical methods development. Her methods work focuses on causal inference and sampling approaches, where she primarily aims to develop and apply statistical methods to improve the generalisability of study results to populations of interest. Her applied research includes the design and analysis of randomised trials, observational studies, and complex samples.