SSA Canberra Branch Meetings
This lecture will be our first meeting for 2021, and will be conducted via Zoom as were most meetings in 2020. It is a joint meeting with RLadies. Please register as per below to receive the Zoom link.
Also, we will be having an SSA Canberra dinner that evening, so if you are interested in attending the dinner and catching up with members and friends in person, please see below for details for RSVP-ing.
Date: Tuesday 2 March 2021
Time: 5:30pm – 6:00pm AEDT : Zoom meeting opens for pre-seminar mingling
6:00pm – 6:45pm AEDT : Presentation
RSVP: Please register in advance for this meeting at https://anu.zoom.us/meeting/register/tZErfu2ppjguG90C-xLADEVg1bvoYnEd_4WU. After registering, you will receive a confirmation email containing information about how to join the meeting. If you have any questions, please feel free to contact email@example.com.
About the dinner: On the evening of 2 March at 7:30pm, there will be dinner at Madam Lu Malaysian Restaurant, 20/42 West Row, Canberra City (no website, but reviews available by Google search). For safety and determining numbers for the booking, if you wish to attend this dinner, please
1. Enter your details here: https://docs.google.com/spreadsheets/d/1tQgomRy2VN7q-VD6oKVey2W-APzqRcs7qFB_o6JtqN4/edit?usp=sharing
2. Reply to this email (firstname.lastname@example.org) to confirm
Speaker: Gordana Popovic, University of New South Wales
Topic: How to see the forest from the trees: Removing pesky artefacts from discrete data for better visualisation
Abstract: Data sometimes have artefacts which obscure the patterns we are interested in visualising. You may have come across this when trying to interpret a residual plot from a logistic regression. For discrete data, these are not really artefacts, they are properties of the distribution of the data, like mean-variance relationships and lots of zeros. Generalised linear models and their extensions model the distribution of the data, including these properties, and so are a good way to remove them, to better see the patterns we are actually interested in. I will talk though some concepts and lots of examples of how we can use models to get the best out of our visualisations of discrete multivariate data in R.
Biography: Gordana is a statistical consultant and research fellow at UNSW Sydney, with research interests in modelling and visualising multivariate discrete data in ecology. In her spare time, Gordana can be found hiking or ocean swimming (poorly but enthusiastically).