SSA Canberra invites you to its May [well technically early June!] branch meeting, featuring a talk by Helen Odgen from the University of Southampton!
Times (+/- some standard errors): 6:00pm – 7:00pm Canberra time.
RSVP: Please see below for the Zoom meeting link. Any issues, please contact ssacanberra@gmail.com.
Dinner: After the talk we will be meeting informally for dinner at Lemongrass Thai in Canberra Civic. If you are interested in attending the dinner, please let us know by 4pm Monday 6th June by entering your details at dinner attendance sheet or contacting Francis Hui <ssacanberra@gmail.com>
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Speakers: Dr Helen Odgen (University of Southampton)
Topic: Flexible models for clustered data
Abstract: A wide variety of approaches are available for modelling clustered data: from assuming a single shared model for all clusters to fitting entirely separate models for each cluster. Random effects models lie between these two extremes, allowing simple variation in the model for each cluster, such as shifting a global response curve up or down by a constant (random intercept) or straight line (random slope). When the global response curve is not a straight line, these simple models sometimes fail to capture the variation in the shape of the cluster-specific response curves. I will give examples of this problem, and describe an extension to the simple random effects model which is designed to capture other types of variation.
Biography: Helen Ogden is a Lecturer in Statistics at the University of Southampton and a Fellow of the Alan Turing Institute for Data Science and Artificial Intelligence. Before that, she was a Research Fellow at the University of Warwick. Her research interests are in statistical modelling, theory and computation, with particular interest in mixed-effects models, models for count data, and conducting inference when the likelihood function is intractable.
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Zoom link:
Topic: SSA Canberra branch meeting
Time: Jun 7, 2022 06:00 PM Canberra, Melbourne, Sydney
Join Zoom Meeting
https://anu.zoom.us/j/85145579720?pwd=Sm13RzZaaC9yNXplTkppVnNLdUozZz09
Meeting ID: 851 4557 9720
Password: 139412
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