Lisa Lix, BSHEc, MSc, PhD, PStat

Dr. Lix collaborates extensively on studies related to population health and health service use. Her research focuses on applying statistical methods to analyze electronic health databases for population health and health policy research. Her work is centered in four main areas:

• Statistical and machine-learning methods to evaluate the quality of electronic health databases for research and disease surveillance
• Fracture risk prediction
• Statistical and machine-learning methods for measurement bias in patient-reported outcome measures (PROMs)
• Post-marketing surveillance of prescription drug safety and effectiveness

Research interests

• Analysis of patient-reported outcome measures
• Health services research methodology
• Methods for chronic disease surveillance
• Multivariate and longitudinal statistical methods
• Statistical and machine-learning methods to evaluate quality of electronic health databases

Research affiliations and groups

University of Manitoba

• Director, data science team, George and Fay Yee Centre for Healthcare Innovation
• Senior research scientist, Manitoba Centre for Health Policy

University of Toronto

• Co-lead, Artificial Intelligence for Public Health (AI4PH) National Training Platform

Other affiliations

• Canadian Network for Observational Drug Effect Studies
• Health Data Research Network Canada

Research themes

• Artificial intelligence
• Diagnostic techniques
• Health services
• Machine-learning
• Population and public health
• Secondary health data
• Statistics and inference

Keywords

• Administrative data
• Chronic disease
• Disease risk prediction
• Electronic medical records
• Longitudinal data
• Measurement error
• Quality of life
• Statistical classification

Dr. Lisa Lix is a professor in the college of community and global health at the University of Manitoba and a Tier 1 Canada Research Chair.

Dr. Lix is an internationally recognized expert in the development and application of statistical models to improve chronic disease research and surveillance using population-based electronic health data.

Her research has advanced scientific knowledge about bias in disease diagnoses, methods to improve validity of chronic disease case ascertainment methods, and chronic disease risk prediction.

Her research has contributed to the scientific rigour of the Canadian Chronic Disease Surveillance System (CCDSS) developed by the Public Health Agency of Canada.

As director of the data science team in the George & Fay Yee Centre for Healthcare Innovation, she oversees skilled biostatisticians, bioinformaticians, analysts and database developers who link and analyze clinical, administrative, and biological databases to strategically enhance the provincial and national environments for patient-focused research using electronic health data.

She also leads nationally funded training initiatives on big data analytics and artificial intelligence in public/population health. Dr. Lix chairs the algorithms and harmonized data working group for Health Data Research Network Canada, which supports multi-jurisdiction research using electronic health databases.

Dr. Lix has served the Statistical Society of Canada since 2005 in various capacities and was president of the biostatistics section in 2010. She was the 2023 chair of the Health Policy Statistics Section of the American Statistical Association and previously served as program chair for the section.

She has published more than 575 peer-reviewed research articles and 14 book chapters.

Education

Doctor of Philosophy in Interdisciplinary Program: Statistics, Psychology, and Human Ecology (PhD), University of Manitoba (1995)

Master of Science (MSc), University of Manitoba (1991)

Bachelor of Science in Home Economics (BSHEc), University of Saskatchewan (1988)

Awards

2025

• Tier 1 Canada Research Chair in Methods for Electronic Health Data Quality, Canadian Institutes of Heath Research (Renewed 2025 - 2032)
• Long-term Career Award, Health Policy Statistics Section, American Statistical Association

2024

• Fellow, Canadian Academy of Health Sciences
• Award of Recognition for Outstanding Contributions to the Peer Review Process in Three Consecutive Project Grant Competitions, Canadian Institutes of Health Research

2023

• Lifetime Achievement Award, Canadian Society for Epidemiology and Biostatistics

2020

• Fellow, American Statistical Association

2018

• Ed Kroeger Mentorship Award, Rady Faculty of Health Sciences Graduate Students, University of Manitoba

2017

• Award of Recognition for Service, Public Health Agency of Canada

2012–2017

• Manitoba Research Chair, Manitoba Health Research Council

2009

• Top New Socio-Health Investigator, Saskatchewan Health Research Foundation

2008–2012

• Centennial Research Chair, University of Saskatchewan

2006–2011

• New Investigator Award, Canadian Institutes of Health Research