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."

Samantha Salter, Epidemiologist

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."

Samantha, Salter, Epidemiologist

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