<p>Statistics is key to demonstrating the effectiveness of new advancements in science and medicine, but when statistical significance is not achieved, is post-hoc power a valid justification? </p>

Statistics is key to demonstrating the effectiveness of new advancements in science and medicine, but when statistical significance is not achieved, is post-hoc power a valid justification?

<p>Statistics is key to demonstrating the effectiveness of new advancements in science and medicine, but when statistical significance is not achieved, is post-hoc power a valid justification?&nbsp;</p>

#33: Statisticians Hate Post-Hoc Power

Data science, big data, artificial intelligence, machine learning… they’re all the rage. In this podcast, Jessi Cisewski-Kehe and Susan Wang, 2 statisticians, give you a perspective on what’s happening in the realm of all things data. Random bantering included.

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#33: Statisticians Hate Post-Hoc Power

#33: Statisticians Hate Post-Hoc Power