Dr. Lix is a Professor of Biostatistics and a Tier 1 Canada Research Chair in Methods for Electronic Health Data Quality in the Department of Community Health Sciences. Her research focuses on methods for conducting population health and health policy research using electronic health databases. Her contributions to science lie in four main areas: (1) statistical methods to evaluate the quality of electronic health databases for research and disease surveillance, (2) fracture risk prediction, (3) statistical methods for patient-reported outcome measures (PROMs), and (4) post-marketing surveillance of prescription drug safety and effectiveness. Dr. Lix’s research aims to develop and apply statistical models to address the challenges of less-than-optimal quality of healthcare databases. She collaborates widely on studies about population health and health service use.
Dr. Lix currently co-chairs the Public Health Agency of Canada’s Canadian Chronic Disease Surveillance System (CCDSS) Data Quality Working Group. She is also a member of the Steering Committee of the Canadian Network of Observational Drug Effect Studies (CNODES), which conducts national drug safety and effectiveness research using administrative databases. Dr. Lix leads database development initiatives for CNODES.
Dr. Lix is strongly committed to graduate student training in methods for complex health data. She co-leads a six-year training grant (2017 – 2023) from the Natural Sciences and Engineering Research Council of Canada (NSERC) entitled “The Visualization and Automated Disease Analytics (VADA) Program” (http://vada.cs.umanitoba.ca/). With colleagues from across Canada, she is leading a Summer Institute Training Initiative entitled “AI for public health (AI4PH): A focus on equity and prevention” (http://www.ai4ph.ca/) funded by the Canadian Institutes of Health Research (2019 – 2024). The program train graduate students and early career investigators in statistical and machine-learning methods to address public health challenges and explore ethical and equity topics of relevance to the application of statistical methods.
For more information please visit Dr. Lix’s personal webpage: http://home.cc.umanitoba.ca/~lixlm/
Dr. Lisa M. Lix, BSHEc, MSc, PhD, P.Stat.
Professor and Associate Department Head
and Canada Research Chair (Tier 1)
S113-750 Bannatyne Ave
Winnipeg, MB R3E 0W3