Jeff Leek

@jtleek

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

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jtleek.com
Sumali noong Agosto 2010
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    Okt 1

    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 mga sagot 243 retweet 573 gusto
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    21 oras ang nakalipas

    The Netflix Data War

    10 retweet 28 gusto
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    Dis 17

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

    6 mga retweet 34 (na) gusto
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    Dis 11

    The Role of Theory in Data Analysis

    34 mga retweet 90 gusto
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    Dis 10

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

    1 sagot 2 retweet 3 gusto
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    Dis 10

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

    1 sagot 38 retweet 86 (na) gusto
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    Dis 7

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

    1 retweet 9 (na) gusto
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    Nob 30

    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 sagot 1 retweet 20 gusto
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  9. Nob 26

    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 sagot 8 retweet 15 gusto
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    Nob 20

    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.

    Sina , , at6 pang iba
    1 sagot 25 retweet 47 gusto
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  11. Nob 12

    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 sagot 5 gusto
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    Nob 12

    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 sagot 25 retweet 100 gusto
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    Nob 10

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

    4 mga sagot 19 mga retweet 69 (na) gusto
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    Nob 10

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

    2 retweet 18 gusto
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    Nob 8

    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 gusto
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    Nob 8

    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 gusto
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    Nob 8

    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 sagot 81 retweet 61 gusto
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    Nob 8

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

    2 sagot 8 retweet 42 gusto
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    Nob 8

    Jeff introducing with awesome keynotes by and

    3 retweet 20 gusto
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    Nob 2

    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 retweet 13 gusto
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    Nob 2

    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 sagot 4 mga retweet 24 (na) gusto
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