Frank Harrell

@f2harrell

Prof, Founding Chair of Biostatistics, Vanderbilt U. Expert Statistical Advisor, Office of Biostatistics, FDA CDER. Blog: Statistical Thinking -fharrell.com

Participa desde janeiro de 2017

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  1. retweetou

    1. Shut down 2. Jail key decision makers and possibly some of the engineers involved 3. Give the money back to the people it abused (its users) 4. Build ethical replacements for its useful bits

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  2. 16 horas atrás

    Glad that has restarted this hot discussion on datamethods. I just posted a response that tries to generalize the question.

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  3. retweetou
    19 de dez

    Statistically, machine learning has poor modeling practices which should limit generalizability. It doesn't. Why? For tasks like image recognition, all humans on the ML team understand ground truth; in healthcare/science tasks, it won't be the same. We can expect lots of failure.

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  4. retweetou
    23 horas atrás

    My Christmas present for the community: 2.7 is now on CRAN extending support for Gaussian processes and fixing a substantial performance bug in some post-processing methods among other new features and improvements.

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  5. retweetou
    17 de dez

    Please read—well worth your time. Challenges of Non–Intention-to-Treat Analyses | Research, Methods, Statistics | JAMA | JAMA Network

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  6. retweetou
    17 de dez

    It's a big stretch to put such a positive spin on the wastage of resources that occurs when the scientific pathway is led astray building upon results that can't be replicated.

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  7. 17 de dez

    Glad to see questionable research practices elevated with respect to severity of harm to science

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  8. retweetou
    17 de dez

    A+ beautiful, a grand achievement by it is wonderful to see Byrne on clean background, all the original copies I saw over the years all had extensive foxing. In my Envisioning Information, we fully rebuilt 2 Byrne pages, hand-separated colors for printing.

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  9. retweetou
    16 de dez

    Let me get this straight: Sears has $25 million laying around to pay out executives who ran the company into the ground, but doesn't have any money to give the thousands of workers they laid off severance pay?

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  10. retweetou
    15 de dez

    Tonight’s ruling creates confusion, puts affordable health insurance at risk, and targets Americans with pre-existing conditions. The Supreme Court already upheld the law’s constitutionality — twice. Sign up tonight for 2019 coverage at .

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  11. retweetou
    14 de dez

    "It took more than a half century to reach the point where faced with a choice between democracy and power, the party chose the latter," argues George Packer.

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  12. retweetou
    14 de dez

    Didn’t he impeach Bill Clinton over the same thing?

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  13. retweetou
    14 de dez

    A couple days ago another team asked me to speak about Bayesian data analysis. I decided that instead of doing a nuts/bolts of how to fit/use Bayesian models, I would describe "Bayesian analysis: The Good Parts". <potentially controversial thread>

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  14. retweetou
    13 de dez

    Not that this is terribly surprising, but still an important message for all to hear.

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  15. retweetou
    12 de dez

    Invite others to submit their lists of prevalent faux-pas' compromising reliable evidence generation.

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  16. retweetou
    12 de dez

    Hi everyone. It’s been awhile since I’ve had a good old-fashioned methods critique, but I'm feeling it today:

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  17. 12 de dez

    Many Analysts, One Data Set – many conclusions - good discussion continues. Hope that joins in -

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  18. 11 de dez

    Favorite way to picture probabilities: not with stick figures or frequencies but with a thermometer plot (example below is taken from )

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  19. 11 de dez

    Statistician take of the day: A $100 data analysis can make a $1,000,000 study worth $1,000.

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  20. 11 de dez

    What the GOP stands for ...

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