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Population-wide administrative health data contains information that is routinely collected during encounters with the healthcare system and provides a rich source of information for researchers. These large databases are particularly valuable for a wide range of epidemiological and longitudinal studies incorporating individual-level data.

Interests may include prevalence and incidence of diseases, tracking the health of specific population sub groups over time or monitoring trends in utilization of health services and related resources. From a wider research lens, administrative health data also provide opportunities to study health policy, social problems and societal issues not commonly available through social surveys.

The trade off to its high research value is that administrative health data is not collected for the purposes of research and therefore the data are generally more ‘messy’ and complex than traditional social science data sets. As a result, researchers require advanced methodologies to effectively analyse administrative data and apply this knowledge to foster positive health outcomes within our society.

Focus of the webinars

This webinar series aims to address this need by hosting presentations led by a variety of researchers from across Canada with expertise in specific methodologies used to advance research in the field of Population Health. Topics have been chosen based on a recent education and training survey. As we roll out the series, we welcome your feedback and related suggestions for future presentations.

These webinars will benefit researchers, analysts and health professionals interested in learning more about advanced methods used in the analysis of population-wide administrative health data.


Identification algorithms and related considerations when using administrative data for epidemiology
June 28, 2022

Scott Emerson, BC Centre for Excellence in HIV/AIDS (BC-CfE), St. Paul’s Hospital, Vancouver

Regression Discontinuity Design
April 28, 2022

Michael Law, The University of British Columbia

Record Linkage Methodology Under Fellegi-Sunter Paradigm, with Extensions
April 7, 2022

Dean M. Resnick, University of Chicago

Using administrative data to support Ontario's COVID-19 response
March 23, 2022

Michael Paterson, ICES

Hannah Chung, ICES

Splink: a software package for probabilistic record linkage and deduplication at scale
March 6 2022

Robin Linacre, UK Ministry of Justice

Marginal Structural Models
December 9 2021

Dr. Andy Kin On Wong, Dalla Lana School of Public Health, Canada

Introduction to Statistical Disease Cluster Detection with Health Administrative Data
November 17, 2021

Dr. Rhonda J. Rosychuk, University of Alberta, Canada

Marginal Structural Models
April 21 2021

Dr. Laura Rosella, University of Toronto, Canada

Population-based Models for COVID-19 Hospitalization Forecast in British Columbia
May 12 2021

Yongcai Liu, Health Sector Information, Analysis and Reporting Division, B.C. Ministry of Health

Samantha Magnus, Health Sector Information, Analysis and Reporting Division, B.C. Ministry of Health

To view the slides, please visit this link

Use of Causal Diagrams in Variable Selection for Causal Observational Studies
March 18 2021

Dr. Mahyar Etminan, University of British Columbia, Canada

Quantile Regression - An Introduction
January 27 2021

Ruth Croxford, ICES

Interrupted Time Series and its applications
December 2 2020

Dr Rahim Moineddin, University of Toronto, Canada

Estimating the Clinical & Economic Burden Using Prediction & Simulation Modeling: COPD in Ontario
August 19 2020

Dr. Petros Pechlivanoglou, University of Toronto, Canada

Intro to Multistate Modeling Approaches for Analyzing Population-wide Health Administrative Data
June 3 2020

Dr. Rinku Sutradhar, University of Toronto, Canada

Methods for Modelling Non-Linear Relationships
May 20 2020

Ruth Croxford, ICES

Introduction to Causal Inference: Propensity Score Analysis in Healthcare Data
May 14 2020

Dr. M. Ehsan Karim, Centre for Health Evaluation and Outcome Sciences (CHÉOS), St. Paul's Hospital

COVID-19 Canada Open Data and Visualization with R Shiny
April 28 2020

Isha Berry & Jean-Paul R. Soucy, Dalla Lana School of Public Health at the University of Toronto

Measurement in Administrative Health Data: Case Definitions, Algorithms, and Validation Studies
April 15 2020

Taylor McLinden, BC Centre for Excellence in HIV/AIDS (BC-CfE), Vancouver