Helen Wright

@WrightRHelen

PhD student and research associate, Universität Hamburg. Multiple imputation in multi-level models. R & Open Science. Clinical/developmental psychopathology.

Vrijeme pridruživanja: srpanj 2019.
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  1. proslijedio/la je Tweet
    27. sij

    I'm jealous of whoever ends up with this postdoc!

    PLEASE RETWEET: Jacob Bien and I are hiring a post-doc!!!! It's the perfect set-up: ✅live in sunny Los Angeles ✅work on interesting statistical methodology problems ✅collaborate with Jacob and me!! Submit your application via the link by MARCH 15!!!
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  2. 20. sij

    Any functions to generate multivariate data from non-normal distributions? Trying to write a function to simulate clustered/hierarchical data to evaluate MI methods. Aiming to consider different var types, different cluster sizes, correlations, cluster-invariants, etc.

    1 reply 1 proslijeđeni tweet
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  3. proslijedio/la je Tweet
    15. sij

    Hundreds of people living with motor neurone disease are being invited to take part in a landmark clinical trial. The trial – called MND-SMART – aims to find treatments that can slow, stop or reverse disease progression:

    1 reply 22 proslijeđena tweeta 32 korisnika označavaju da im se sviđa
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  4. 15. sij

    Note to future self:

    Odgovor korisniku/ci @laure_wynants
    it is a thing!
    1 korisnik označava da mu se sviđa
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  5. proslijedio/la je Tweet
    15. sij

    A recent question about podcasts prompted me to list my favorites: Is there one that is missing on the list, but that I should start listening to?

    15 proslijeđenih tweetova 30 korisnika označava da im se sviđa
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  6. proslijedio/la je Tweet
    14. sij

    📦bench 1.1.1 is now on CRAN! 🎉 bench benchmarks code, tracking execution time, memory allocations, and garbage collections. New for this release: `bench_process_memory()` function measures all allocations including those outside of R's managed heap.

    33 proslijeđena tweeta 145 korisnika označava da im se sviđa
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  7. proslijedio/la je Tweet
    12. sij

    Here's a thing I don't like and I'm not sure what to do about. Academic papers (especially in applied fields) often have introductions that frame their results in terms of really big problems and over claim as to how much convincing progress they make on that big problem. 1/

    6 replies 24 proslijeđena tweeta 101 korisnik označava da mu se sviđa
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  8. proslijedio/la je Tweet
    7. sij

    **new blog post ✍️** overfitting: a guided tour 🚌 i present some intuition about overfitting, explain why it matters for both prediction and inference, and show why sample splitting is so important

    13 replies 206 proslijeđenih tweetova 848 korisnika označava da im se sviđa
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  9. proslijedio/la je Tweet
    17. pro 2019.

    "Stop! Calibrate and listen!" 🎼🎤 Heed Vanilla Ice's words and read this new guidance paper on calibration of risk prediction models

    Developing or validating a risk prediction model? Don't forget calibration! New nontechnical paper with
    1 reply 6 proslijeđenih tweetova 17 korisnika označava da im se sviđa
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  10. proslijedio/la je Tweet
    19. pro 2019.

    I don't understand "data available upon request". Isn't that actually more work for the authors? Wouldn't it be easier to document it once and put it somewhere on the internet rather than having to respond to e-mails long after you've forgotten where you've even put the data?

    66 proslijeđenih tweetova 563 korisnika označavaju da im se sviđa
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  11. 10. pro 2019.

    I wish encouraging my students to practice programming languages a little each day didn't make me feel so much like the Duolingo bird.

    3 korisnika označavaju da im se sviđa
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  12. proslijedio/la je Tweet
    6. pro 2019.

    An example of exploring joint posterior space for some normally distributed data using in . This represents only 150 samples/chain (for the sake of brevity), which means most chains have found the target after only about 50 iterations. So cool.

    1 reply 17 proslijeđenih tweetova 62 korisnika označavaju da im se sviđa
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  13. proslijedio/la je Tweet
    25. stu 2019.

    New blog post! Mixed model equivalence testing - in which I explain how to calculate an equivalence test, and power for an equivalence test, for a fixed effect in a mixed effects model using R and PANGEA.

    56 proslijeđenih tweetova 193 korisnika označavaju da im se sviđa
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  14. proslijedio/la je Tweet
    24. stu 2019.

    Bootstrapping and multiple imputation: should you bootstrap then impute or impute then bootstrap?

    11 replies 53 proslijeđena tweeta 188 korisnika označava da im se sviđa
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  15. 21. stu 2019.

    Being interested in both psychology and statistics reminds me of how I felt coming to terms with being bisexual, feeling like I belong in neither straight or gay communities, lol. Too stats for psych, too psych for stats. 🙃

    1 reply 5 korisnika označava da im se sviđa
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  16. proslijedio/la je Tweet
    20. stu 2019.

    Interaction Effects Need Interaction Controls

    22 proslijeđena tweeta 45 korisnika označava da im se sviđa
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  17. proslijedio/la je Tweet
    20. stu 2019.

    What’s the evidence on the effectiveness of psychotherapy?

    8 proslijeđenih tweetova 18 korisnika označava da im se sviđa
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  18. proslijedio/la je Tweet
    18. stu 2019.

    If the number of p-values in your paper is larger than the sample size, then you need to rethink things a bit.

    10 replies 54 proslijeđena tweeta 429 korisnika označava da im se sviđa
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  19. proslijedio/la je Tweet
    19. stu 2019.

    Getting there...

    12 replies 63 proslijeđena tweeta 385 korisnika označava da im se sviđa
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  20. proslijedio/la je Tweet
    16. stu 2019.

    “A prediction model was developed and externally validated” Footage of the validation:

    245 proslijeđenih tweetova 1.297 korisnika označava da im se sviđa
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