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Tag: posterior probability

Blog 19: We Won’t Get Fooled Again, Again

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Many clinician researchers are attempting to "repurpose" old treatments for COVID-19. How shold we evaluate purported positive findings in a small, but rigorous, clinical trial?

Steve Ruberg Are You Sure?, Bayesian Thinking, Case Studies Leave a comment March 9, 2021 13 Minutes

No. 8: Let’s Get Real – Bayes and Biomarkers

How do we know when an observed effect is real or spurious?

Steve Ruberg Bayesian Thinking, Subgroup Identification 3 Comments September 1, 2019September 8, 2019 10 Minutes

No. 7: What does p<0.05 mean anyway?

Some people say, "A p-value=0.05 is not very much evidence against the null hypothesis." Well then, how much evidence is it?

Steve Ruberg Bayesian Thinking Leave a comment August 20, 2019August 22, 2019 6 Minutes

No. 5: pr(You’re Bayesian) > 0.50

For too long statisticians have been peddling pr(data|hypothesis) when scientists [indeed all of us] want pr(hypothesis|data).

Steve Ruberg Bayesian Thinking 2 Comments July 22, 2019August 16, 2019 9 Minutes
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Stephen Ruberg, PhD

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