42: Some of my best friends are Bayesians (with Daniel Lakens) - a podcast by Dan Quintana

Daniel Lakens (Eindhoven University of Technology) drops in to talk statistical inference with James and Dan.
Here’s what they cover:How did Daniel get into statistical inference?
Are we overdoing the Frequentist vs. Bayes debate?What situations better suit Bayesian inference?
The over advertising of Bayesian inferenceStudy design is underrated
The limits of p-valuesWhy not report both p-values and Bayes factors?
The “perfect t-test” script and the difference between Student’s and Welch’s t-testsThe two-one sided test
Frequentist and Bayesian approaches for stopping proceduresWhy James and Dan started the podcast
The worst bits of advice that Daniel has heard about statistical inferenceDan discuss a new preprint on Bayes factors in psychiatry
Statistical powerExcel isn’t all bad…
The importance of accessible softwareWe ask Daniel about his research workflow - how does he get stuff done?
Using blog posts as a way of gauging interest in a topicChris Chambers’ new book: The seven deadly sins of psychology
Even more names for methodological terroristsLinks
Daniel on Twitter - @lakensDaniel’s course - https://www.coursera.org/learn/statistical-inferences
Daniel’s blog - http://daniellakens.blogspot.noTOSTER - http://daniellakens.blogspot.no/2016/12/tost-equivalence-testing-r-package.html
Dan’s preprint on Bayesian alternatives for psychiatry research - https://osf.io/sgpe9/Understanding the new statistics - https://www.amazon.com/Understanding-New-Statistics-Meta-Analysis-Multivariate/dp/041587968X
Daniel’s effect size paper - http://journal.frontiersin.org/article/10.3389/fpsyg.2013.00863/fullThe seven deadly sins of Psychology - http://press.princeton.edu/titles/10970.html Special Guest: Daniel Lakens.

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