NB-IRDT Workshop 1 Using Regression Models to Understand Populations-FR

Event Details:

Workshop 1: Describing and Comparing Populations  

Learning Objectives:  

• Define statistics used to describe and compare populations
• Identify key components of effect measures      
• Select an appropriate effect measure for the research design
• Interpret confidence intervals around effect measures

At the heart of regression modelling are the measures used to describe and compare populations of interest. Key measures include incidence rate, prevalence and probability, as well as comparative measures such as risk difference, odds ratio and hazard ratio, among others. We will focus on developing a conceptual understanding of the purpose and key components of effect measures and their application in helping us describe and compare the world around us. This one-day workshop is the first of a three-part series intended for individuals who are familiar with statistics and want to learn about using regression modelling. 

Building: Wu Conference Centre

Room Number: 208