Jeff Leek

@jtleek

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

Baltimore
Inscrit en août 2010

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  1. Tweet épinglé
    1 oct.

    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. a retweeté
    il y a 21 heures
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  3. a retweeté
    17 déc.

    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. a retweeté
    11 déc.
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  5. a retweeté
    10 déc.

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

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  6. a retweeté
    10 déc.

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

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  7. a retweeté
    7 déc.

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

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  8. a retweeté
    30 nov.

    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 nov.

    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. a retweeté
    20 nov.

    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.

    , , et 6 autres
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  11. 12 nov.

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

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  12. a retweeté
    12 nov.

    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. a retweeté
    10 nov.

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

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  14. a retweeté
    10 nov.

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

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  15. a retweeté
    8 nov.

    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. a retweeté
    8 nov.

    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. a retweeté
    8 nov.

    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. a retweeté
    8 nov.

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

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  19. a retweeté
    8 nov.

    Jeff introducing with awesome keynotes by and

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  20. a retweeté
    2 nov.

    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. a retweeté
    2 nov.

    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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