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In this episode we review Bayesian Reasoning in general, and Nic get's the opportunity to geek out on talking stats. We cover likelihood ratios, positive and negative predictive values, sensitivity and specificity, and pre- and post-test probabilities. Hopefully, we used examples that will help you understand and remember these concepts.
By Drs. Art Nahill & Nic Szecket4.8
8383 ratings
In this episode we review Bayesian Reasoning in general, and Nic get's the opportunity to geek out on talking stats. We cover likelihood ratios, positive and negative predictive values, sensitivity and specificity, and pre- and post-test probabilities. Hopefully, we used examples that will help you understand and remember these concepts.

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