Statistical Model Building

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Statistical Model Building

This is the registration page for Statistical Model Building

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

Date and time

Tue, 26 Oct 2021 8:00 PM - 9:30 PM PDT

Location

Online

About this event

This workshop examines and illustrates the key aspects and strategies of statistical model building to help you answer your research question, avoid common pitfalls, erroneous models and incorrect conclusions. Appropriate statistical model building will help you to gain knowledge as opposed to simply getting the best prediction (although that can be a goal as well). We will focus on concepts such as variable selection, multi-collinearity, interactions, selecting a model building strategy, comparing models and evaluating models. In general, these concepts are useful for any statistical model building. This workshop will provide generalised linear regression model examples. The focus will be on practical application of concepts so mathematical descriptions will be kept to a minimum.

Attendance options:

In person: not available for this event.

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. 

This workshop is provided at no cost to researchers studying at, employed by or affiliated with the University of Sydney. This includes Honours and higher degree by research students, academic staff, and professional staff who do research.

Sydney Informatics Hub

  • 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!

Organised by

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. See https://www.sydney.edu.au/research/facilities/sydney-informatics-hub.html for more information. 

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