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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:
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.
The text was updated successfully, but these errors were encountered:
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?
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.
The text was updated successfully, but these errors were encountered: