Linear Models 3: Advanced Topics
Discusses Advanced Topics such as:
– Reporting and Interpretation (Estimated Marginal Means, Confidence Intervals, Multiple Comparisons)
– Model Parameterisation using the Design Matrix (dummy coding, effects coding, indicator variable vs interaction models)
– Complex Mixed Models
This is the third in a series of workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic and count (Poisson) regression. We will show how all these analyses can be performed using the same easy to understand Generalised Linear Model framework (GLM). As well as how these methods can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more.
The material is organised around Statistical Workflows appliable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results.
Attendance options:
You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus.
In person: Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue.
Online: Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date.
Sydney Informatics Hub
Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey)
Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc
If you do not have a UniKey, please contact us to confirm your position after registration.
Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!!!
