Jeff Leek

@jtleek

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

Baltimore
jtleek.com
Tilmeldt august 2010
94 billeder og videoer Billeder og videoer

Tweets

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  1. Fastgjort tweet
    1. okt.

    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 .

    19 svar 243 retweets 573 likes
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  2. retweetede
    for 21 timer siden

    The Netflix Data War

    10 retweets 28 likes
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  3. retweetede
    17. dec.

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

    6 retweets 34 likes
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  4. retweetede
    11. dec.

    The Role of Theory in Data Analysis

    34 retweets 90 likes
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  5. retweetede
    10. dec.

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

    1 svar 2 retweets 3 likes
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  6. retweetede
    10. dec.

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

    1 svar 38 retweets 86 likes
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  7. retweetede
    7. dec.

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

    1 retweet 9 likes
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  8. retweetede
    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 ? 🤔

    3 svar 1 retweet 20 likes
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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!)

    1 svar 8 retweets 15 likes
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  10. retweetede
    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.

    , , og 6 andre
    1 svar 25 retweets 47 likes
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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....

    Just some casual Sunday morning reading with and coffee in the ol' mug 🤓 thanks for leaving this print-out behind.
    1 svar 5 likes
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  12. retweetede
    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!

    New in : The upstrap ✍️ () & () 📄 Paper: 📊 Code:
    1 svar 25 retweets 100 likes
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  13. retweetede
    10. nov.

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

    4 svar 19 retweets 69 likes
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  14. retweetede
    10. nov.

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

    2 retweets 18 likes
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  15. retweetede
    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)

    1 retweet 12 likes
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  16. retweetede
    8. nov.

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

    1 retweet 2 likes
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  17. retweetede
    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

    3 svar 81 retweets 61 likes
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  18. retweetede
    8. nov.

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

    2 svar 8 retweets 42 likes
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  19. retweetede
    8. nov.

    Jeff introducing with awesome keynotes by and

    3 retweets 20 likes
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  20. retweetede
    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.

    The levels of data science class
    2 retweets 13 likes
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  21. retweetede
    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 👩🏽‍🎨

    The levels of data science class
    2 svar 4 retweets 24 likes
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