Linear Models 2

The Sydney Informatics Hub provides support, training, and advice on research data, analyses and computing. Talk to us about your computing infrastructure, data science, digital tools and data governance needs. We can also assist you in choosing the best platforms to facilitate your workflow and collaboration. Seehttps://www.sydney.edu.au/research/facilities/sydney-informatics-hub.htmlfor more information.

Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

This is the registration page for Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)

Room 305, Centre for Carbon, Water and Food (C02F) - The University of Sydney (and online)

Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM), focuses on Practical data analysis by presenting statistical workflows applicable in any software for two of the more common GLMM’s: Logistic regression for binary data (using a Binomial distribution); and Poisson/count regression for count data (using a Poisson distribution). The GLM framework is also described in detail. The R code used to create output is also included. ​ This is the second of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they 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. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around statistical workflows applicable 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:In person @ Camden: Choose the "In person" ticket option. University rules governing COVID related requirements will apply in the venue. In the event that in person delivery is not possible, you will be provided with the Zoom link for remote attendance.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 <ul><li>Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey)</li><li>Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc</li><li>If you do not have a UniKey, please contact us to confirm your position after registration.</li><li>Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!</li></ul>

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Linear Models 2

More events from Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

Discover more events from Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney, from Science & Tech to other experiences you might love.

Linear Models 2

More events from Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney

Discover more events from Sydney Informatics Hub, Core Research Facilities, DVCR, The University of Sydney, from Science & Tech to other experiences you might love.

More Science & Tech events

Browse more Science & Tech events with different dates, prices, and formats to find your next great experience.