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ACEMS / SportsStats2017

A place for discussing ideas, and following up collaborations, for the March 2016 Sport Statistics Workshops at the ACEMS - QUT node.
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Bayesian Methods for Random Effects Models #13

Open cdrovandi opened 7 years ago

cdrovandi commented 7 years ago

Bayesian methods are quite useful for models with random effects, eg where there is repeated measurements on subjects. This type of data seems to come up quite a bit in sports and exercise science. I have helped some people in this area before:

http://journals.humankinetics.com/doi/10.1123/jpah.2015-0723

I am also currently helping a PhD student in exercise science. There is pretty good software for fitting these kinds of Bayesian models. It is a learning curve, but the student is managing to develop the skills. So the methods aren't completely out of reach for researchers in these fields.

jesse-jesse commented 7 years ago

Maybe we can run a short introduction to Bayesian Methods for Sports Research? This could preceed the next workshop and be a good opportunity for the sports scientists to learn were these methods could be used in their research?