Without statistics, studies are just words. We need some way of translating data in to messages. More and more we read about studies which are using the mysterious Bayesian approach.
How does this compare to the standard “frequentist” approach? What are the differences in data collection, analysis, messaging, and interpretation?
Bayesian studies allow a “head start” in data interpretation, and deliver a nuanced, complex message which allows us to be much better than the blunt and digital, arbitrary cut off of p<0.05 is true, p>0.05 is not true.
We discuss how it works, what it means, and how to deliver the results. With a little side helping of discussing the current publishing landscape.
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