Marginal Structural Models
This webinar is part of the Advanced Methods Webinar Series
Health administrative data is longitudinal with measures captured on individuals over time. Conventional regression-based methods applied to longitudinal data do not explicitly account for time-varying confounders and can produce biased estimates for causal effects.
What is the burden of Cystic Fibrosis in BC?
Cystic Fibrosis (CF) is one of the most common fatal genetic diseases affecting Canadians. Thick mucus in the airways, a hallmark of CF, prevents clearance of pathogens from the lungs, resulting in irreversible destruction of the airways over-time, and leads to respiratory failure and premature death.
Introduction to R
Session 1: Tuesday April 6 | Session 2: Thursday April 8
Session 3: Tuesday April 13 | Session 4: Thursday April 15
Overview
R is rapidly growing adoption through research and government institutions. R is a free software program and most RStudio products are free as well with no monthly subscriptions or licensing costs.
Use of Causal Diagrams in Variable Selection for Causal Observational Studies
This webinar is part of the Advanced Methods Webinar Series
Deciding which variables to adjust for when addressing causal questions in observational studies can be challenging. For example, lack of adjustment for some variables might lead to sub-optimal control for confounding whereas overadjustment for other variables can in fact introduce bias to a study.
Testimonial - PHDA 04 Spatial Epidemiology and Outbreak Detection
"Both the PHDA 03 and PHDA 04 courses have made me confident working in ArcGIS, and applying principles of GIS/mapping to population health data and working on spatial analyses. In particular, what has been most helpful about these courses is applying the background theory to surveillance and research questions and walking through the analysis from start to finish, including interpretation of results."
Testimonial - PHDA 03 Population Health and Geographical Information Systems
"Both the PHDA 03 and PHDA 04 courses have made me confident working in ArcGIS, and applying principles of GIS/mapping to population health data and working on spatial analyses. In particular, what has been most helpful about these courses is applying the background theory to surveillance and research questions and walking through the analysis from start to finish, including interpretation of results."
Testimonial - PHDA overall course
"Strengths of the PHDA courses included hands-on application of concepts (through the labs), responsive and supportive instructors, and reading materials that helped with learning the concepts. For example, the final projects in PHDA 03 and PHDA 04 allowed us to develop a practical research question, clean and analyze the required datasets, produce maps and analyses, and interpret results, which would mirror a typical project in the workplace."
Testimonial - PHDA, Samantha Salter
- How did you learn about the program and what motivated you to enroll in the PHDA course(s) you chose?
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I learned about the program through emails from PopDataBC. I have been following PopDataBC since the organization was introduced to me during my MPH degree at UBC. I was motivated to enroll in the PHDA courses that I chose, because I was not offered the opportunity to take such courses during my MPH.
