Interviews

Online/Virtual Event

Interviews are one of the most stressful elements in the job search process. This workshop will cover the following aspects of the interview process: - What do employers care about? - Types of Interviews - Types of questions you can expect and strategies for answering them - Tips and strategies for virtual interviews

Doctoral Defence: Doctoral Examination and Defence Procedures

Online/Virtual Event

Doctoral Defence information session walk students through the doctoral examination process, and explains the different defence modes - in person, virtual, and hybrid. The session includes: - Steps in the doctoral examination, - Timelines and pressure points, and - a Q&A. For more information and registration, click the link below.

Introduction to Statistical Concepts IV: Correlation and Linear Regression

Online/Virtual Event

Understanding relationships is a key part of the scientific inquiry process. You will learn how to describe relationships between two numerical quantities through correlation measures and simple linear regression models. This will also be extended to multiple linear regression for including additional predictor variables. Specific topics include: - correlation vs causation - interpretation of regression […]

Introduction to Statistical Concepts V: Logistics and Poisson Regression

Online/Virtual Event

Learn about generalized linear models (GLM) for categorical and count outcomes. Necessary for understanding and using these models, the following will be covered: - interpretation of odds, odds ratios and rate ratios - variable “exposure” times - overdispersion - negative binomial regression - considerations for Likert scale outcomes - handling excess zeros

Introduction to Statistical Concepts VI: Mixed Effects Models

Online/Virtual Event

This webinar is critical for understanding when linear regression models aren’t applicable and how to model dependent data. Topics that will be covered are: - consequences of ignoring dependence (increased risk of false conclusions) - repeated measures and other examples of dependent data - variance components - interpretation in the linear and generalized linear mixed […]