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
Clárú: Lúnasa 2010
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  1. Tweet Greamaithe
    1 DFómh

    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 freagra 243 d’atweetálacha 573 croí
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  2. Rinne Atweetáil
    21 uair an chloig ó shin

    The Netflix Data War

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  3. Rinne Atweetáil
    17 Noll

    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. Rinne Atweetáil
    11 Noll

    The Role of Theory in Data Analysis

    34 d’atweetálacha 90 croí
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  5. Rinne Atweetáil
    10 Noll

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

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  6. Rinne Atweetáil
    10 Noll

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

    1 fhreagra amháin 38 d’atweetálacha 86 croí
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  7. Rinne Atweetáil
    7 Noll

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

    1 atweetáil amháin 9 gcroí
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  8. Rinne Atweetáil
    30 Samh

    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 Samh

    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. Rinne Atweetáil
    20 Samh

    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.

    , , agus 6 duine eile
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  11. 12 Samh

    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 fhreagra amháin 5 chroí
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  12. Rinne Atweetáil
    12 Samh

    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:
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  13. Rinne Atweetáil
    10 Samh

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

    4 fhreagra 19 d’atweetálacha 69 croí
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  14. Rinne Atweetáil
    10 Samh

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

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  15. Rinne Atweetáil
    8 Samh

    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. Rinne Atweetáil
    8 Samh

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

    1 atweetáil amháin 2 chroí
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  17. Rinne Atweetáil
    8 Samh

    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 fhreagra 81 d’atweetálacha 61 croí
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  18. Rinne Atweetáil
    8 Samh

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

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  19. Rinne Atweetáil
    8 Samh

    Jeff introducing with awesome keynotes by and

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  20. Rinne Atweetáil
    2 Samh

    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
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  21. Rinne Atweetáil
    2 Samh

    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 fhreagra 4 atweetáil 24 croí
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