Jeff Leek

@jtleek

Professor @ JHBSPH, co-editor Simply Statistics, co-editor Biostatistics, co-director JHU Data Science Lab. Views tweeted are my own.

Baltimore
Dołączył sierpień 2010

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  1. Przypięty tweet
    1 paź

    We've been working to remove and reduce barriers for anyone in high school on up to get into data science. The first part of our new effort is now up! Chromebook Data Science - a MOOC series on .

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  2. podał/a dalej
    21 godzin temu
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  3. podał/a dalej
    17 gru

    An interactive shiny presentation for my talk tomorrow on dynamic individualized predictions from joint models with intermediate events @ EMR-IBS is available here:

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  4. podał/a dalej
    11 gru
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  5. podał/a dalej
    10 gru

    It also had good properties in this comparison of different approaches, led by and

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  6. podał/a dalej
    10 gru

    So happy to see this work with on false discovery rates conditional on covariates published in ! .

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  7. podał/a dalej
    7 gru

    Completed my first Chromebook Data Science course. That was fun!

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  8. podał/a dalej
    30 lis

    I decided to try the Chromebook Data Science program on to see if my daughter would like it. Is 7 too young to learn ? 🤔

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  9. 26 lis

    Check this awesome sneak preview of the new tech from the JHU DaSL thanks to . AI generated auto video from one of our new MOOCs: ; auto-translated & AI generated Spanish translation (even the slides are translated!)

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  10. podał/a dalej
    20 lis

    Chromebook Data Science: A free, massive open online educational program offered through to help anyone who can read/write and use a computer to move into data science: Brainchild of Prof.

    , , i 6 innych
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  11. 12 lis

    Ack I need to get a print version of this out maybe can show me how its done....

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  12. podał/a dalej
    12 lis

    My shortest paper ever in . If you never read one of my papers, this is a really quick read 😄. Thank you to the editors , , and for modernizing and requiring reproducibility. Way to lead!

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  13. podał/a dalej
    10 lis

    Proud to announce Biological Data Science will be held again November 4-7 2020

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  14. podał/a dalej
    10 lis

    Thank you for coming and thank you for sharing all your amazing science this year!

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  15. podał/a dalej
    8 lis

    in years since, seen so many neat people dedicating time to , data carpentry and . I think The Modern Scientist by is a great guide that I plan to keep reading now that I'm in my first PhD year & beyond! (2)

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  16. podał/a dalej
    8 lis

    A different take on this Q by , who envisions a better way to integrate smaller investigator initiated hypothesis driven research data sets

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  17. podał/a dalej
    8 lis

    We are recruiting! UW Biostatistics is hiring at the Assistant Professor level -- please pass along this application to outstanding developers of statistical methodology. Amazing combination of excellent research, collaborators, departmental culture, city

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  18. podał/a dalej
    8 lis

    Super awesome that talks are also being done in – w: Cold Spring Harbor Laboratory

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  19. podał/a dalej
    8 lis

    Jeff introducing with awesome keynotes by and

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  20. podał/a dalej
    2 lis

    Love this taxonomy of data science training. I’m a huge fan of level 6: Give students a question where you have done a little research to know that it is posisble to get at least some data, but aren’t 100% sure it is the right data or that the problem can be perfectly solved.

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  21. podał/a dalej
    2 lis

    New learners often need to get some basic data science skills (+ problem solving & confidence!) first to be able to frame a good data science question 🖼 in my big magic talk, doing an original project is phase 4: PERSISTENCE 👩🏽‍🎨

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