Artificial Intelligence/Machine Learning

Guest Post: John Park: Abandoning P-values and Embracing Artificial Intelligence in Medicine (thoughts on “abandon statistical significance 5 years on”)

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John Park, MD
Medical Director of Radiation Oncology
North Kansas City Hospital
Clinical Assistant Professor
Univ. Of Missouri-Kansas City

[An earlier post  by J. Park on this topic: Jan 17, 2022: John Park: Poisoned Priors: Will You Drink from This Well? (Guest Post)]

Abandoning P-values and Embracing Artificial Intelligence in Medicine

The move to abandon P-values that started 5 years ago was, as we say in medicine, merely a symptom of a deeper more sinister diagnosis. Within medicine, the diagnosis was a lack of statistical and philosophical knowledge. Specifically, this presented as an uncritical move towards Bayesianism away from frequentist methods, that went essentially unchallenged. The debate between frequentists and Bayesians, though longstanding, was little known inside oncology. Out of concern, I sought a collaboration with Prof. Mayo, which culminated into a lecture given at the 2021 American Society of Radiation Oncology meeting. The lecture included not only representatives from frequentist and Bayesian statistics, but another interesting guest that was flying under the radar in my field at that time… artificial intelligence (AI). Continue reading

Categories: abandon statistical significance, Artificial Intelligence/Machine Learning, oncology | 21 Comments

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