Linear Mixed models on repeated measurement data

R-Ladies London

In this workshop we will be exploring how to use linear mixed models when we have data that repeats over time. These kinds of models are often used in longitudinal studies or with time series data. They are powerful as the used maximum likelihood approximations rather than least squares, meaning they can better handle missing data, and competing models can be compared directly. By the end of the workshop you should have a basic grasp of the linear mixed model, how to specify one, how to compare models and how to plot results.
The workshop is held by Athanasia Monika Mowinckel, or Mo for short, who is a staff scientist at the Center for Lifespan changes in brain and cognition (LCBC: www.oslobrains.no). She has a PhD in psychology, and loves plotting. And cats. She is a co-founder and current head of the R-Ladies Oslo chapter.
Agenda:
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6pm - doors open (pizza sponsored by H20.ai)
6:30ish pm - quick intros and hellos from R-Ladies and hosts
6:40ish pm - workshop starts!!
8:30ish pm - end of workshop!
See you all there!

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Linear Mixed models on repeated measurement data

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Linear Mixed models on repeated measurement data

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