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Does anybody know the gr4 rate for prostate? 0415 only 1 gr4 and PACE-B had 0. 10 patients with Gr4 w/protons. A little less gr 1-3 toxicity but a higher risk of Gr4 toxicity - Doesn’t seem worth it. The paper below states Gr4 should be a “zero event” but still calls H+ safe 🤔

"Black swan events" (eg change in supervision req's) & decline in medicare population also likely to depress demand side. Per excellent discussion by Chirag Shah residency contraction may be needed to better match supply & demand

Fantastic new paper on sample size requirements of statistical models vs. #MachineLearning , except for not giving proper emphasis to smooth calibration curves: onlinelibrary.wiley.com/doi/10.1002/si… #Statistics

I love this type of innovation and research. Bold and different. Kudos Bill Loo MD PhD ⚡️☢️

Be on the look out, lest we get left behind...

@drdavidpalma Abdulaziz AlGhamdi I believe the results or ORATOR and ORATOR2, but none of my surgical friends do

This is especially true of medical journals. I still have to read a lot but am selective in what I read.

Crazy how Twitter lets us look at these back and forth arguments from these renowned experts! I highly recommend going through these threads - guaranteed to make you smarter 🧠 Stephen John Senn Frank Harrell Judea Pearl

PhilosopherMD Nadeem Riaz C. Jillian Tsai, MD, PhD Nancy Lee I know a lot of people that thought it was kinda nuts it became category 1 NCCN off a tiny single arm study. Pointing out that things were done poorly in another subsection of oncology is not a good argument for doing another thing poorly.

Our review on Multiplicity in Clinical Trials is now out in the Red Journal, with NRG Oncology Stephanie Pugh, John Park VA Kansas City, John Kang Kuan G. S. #radonc #stats redjournal.org/article/S0360-…

PhilosopherMD ♕Deborah Mayo♕ Frank Harrell M. Bolton Amit Chowdhry, MD, PhD NRG Oncology VA Kansas City John Kang Kuan G. S. statsepi There is a sketch of the four major theories of inference here. errorstatistics.com/wp-content/upl…

Frank Harrell PhilosopherMD M. Bolton Amit Chowdhry, MD, PhD NRG Oncology VA Kansas City John Kang Kuan G. S. This is the limb-sawing logic of those who don't understand how conditionals work in reductio arguments errorstatistics.com/2017/04/15/if-…

Really a fantastic book. Highly recommend!

Biology has more data than ever before. We need to focus on interpreting these data. On the logical connections & the supportable conclusions. Falsifiable models can lead to reliable models.

Genuine question, why not run these lympho XRT trials just a single arm trial and say if PFS is >95% then we will omit XRT. Something in me says it’s unethical to randomize and disregard your stat endpts, if that’s the case why waste so many patients time? ascopubs.org/doi/10.1200/JC…

Editorial David Ouyang, MD, MD, and Joseph Hogan, ScD (Joe Hogan): We Need More Randomized Clinical Trials of AI nejm.ai/4hfETpq #ArtificialIntelligence

This link provides free access to our CSO RCT Checklist paper. can01.safelinks.protection.outlook.com/?url=https%3A%…

Will need to stay ahead of the curve in medicine as well. Add it to the reading list…

Whoa 👀 great critique of Bayesianism and a word of caution on bringing it into medicine by Valeriy M., PhD, MBA, CQF

Although I’m no Bayesian this is a great and challenging post by Frank Harrell. I’ve learned a lot by going down the Bayesian rabbit hole and am better for it.