Robert Balshaw, PhD

Research summary

Robert Balshaw's interests include innovative clinical trial design, causal inference in observational studies, models for longitudinal and life history data, and methods for biomarker discovery, refinement and validation. 

As a lifelong learner, he is fascinated by the Bayesian approach to scientific thinking.

Research groups

George and Fay Yee Centre for Healthcare Innovation

Keywords

• Biomarker discovery, refinement and validation
• Biostatistics
• Causal inference
• Clinical trials
• Consulting
• Longitudinal and life history data
• Observational studies
• Statistical and machine learning methods

Robert Balshaw is an assistant professor in the College of Community and Global Health and a senior biostatistician in the Data Science Platform of the Georgy and Fay Yee Centre for Healthcare Innovation. He has been a consulting biostatistician for industry, government, and academia for 35 years and has been the lead statistician for dozens of clinical trials and consulted on hundreds of research projects.

Education

Doctor of Philosophy (PhD), Statistics, Simon Fraser University (1997)

Master of Science (MSc), Statistics, University of Manitoba (1987)

Bachelor of Science (BSc (Hons)), Statistics, University of Manitoba (1986)