The Biological Data Science Institute presents the following workshops:-

Introduction to Statistical Modelling (Linear Mixed Models and Interactions).

Once you have collected data, you need to analyze them statistically. Whether you plan to use a t-test or some complex GLMM, you will use statistical models (whether you know it or not). It is critical for a scientist to understand what are statistical models, how they work, when they breakdown, and how to tailor them to the scientific questions you want to address. In these two workshops we will practice how to use linear models for inference and prediction. In the first session we will introduce simple linear models, the meaning of multiple regression and interactions. In the second session we will practice mixed-effect models (that is, models with random effects) and see how thinking about variance structures is critical to get reliable results. We will be using R during the workshop, so some basic familiarity with basic R-coding, data-wrangling, packages and plotting using ggplot is a prerequisite.

Location: Robertson Building #46, Slatyer Room (N2011)

Equipment: Please bring a laptop with a recent version of R installed. R-Studio recommended, although not essential.

Prerequisite: Basic familiarity with R-coding, data-wrangling, packages and plotting using ggplot.

Audience: Honours Students. Staff and Students also most welcome if seating permits.

PhD students are able to count this course towards the COS Career Development Framework program.