deep_lazy

@HAAANBIN

Major in Medicine Double major in Mathemtics Interested in Epidemiology, Population Genetics and Evolutionary Biology

Vrijeme pridruživanja: rujan 2009.

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  1. proslijedio/la je Tweet
    prije 13 sati

    I’m just going to say it again. Start building relationships with senior people, bc when you eventually do need letters, they’ll be there to write them. I hate to make it so transactional sounding, and I don’t mean it that way. But that’s the hidden curriculum. 1/n

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  2. proslijedio/la je Tweet
    3. velj

    A promising new method for correcting case-only GWAS for index event / collider bias. Should also prove useful for case-only MR studies. Slope-Hunter: A robust method for index-event bias correction in genome-wide association studies of subsequent traits"

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  3. proslijedio/la je Tweet
    3. velj

    Very interesting paper by & - the Latent Heritable Confounder approach to Mendelian randomization (LHC-MR) - well worth a read and seeing how it works on questions of interest

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  4. prije 20 sati

    계정 해킹이 있었나 봅니다. 비번 바꿨어요. 알려주셔서 ㄱㅅㄱㅅ

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  5. proslijedio/la je Tweet
    2. velj

    Slope-Hunter: A robust method for index-event bias correction in genome-wide association studies of subsequent traits

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  6. proslijedio/la je Tweet
    2. velj

    Folders should be like this and only like this Folder - Code ---Code1.R ---Code2.R -Output ---Output1.tex ---Output2.tex -Data ---Data1.csv -Literature ---Paper1 ---Paper2 -Final Report ---Report.pdf

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  7. proslijedio/la je Tweet
    1. velj

    Scalable generalized linear mixed model for region-based association tests in large biobanks and cohorts

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  8. proslijedio/la je Tweet
    31. sij

    Like most conventional observational studies estimates of health care costs caused by particular risk factors, like obesity, can be seriously distorted by confounding and reverse causation explore if MR can help

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  9. proslijedio/la je Tweet
    31. sij

    E-values for Mendelian Randomization.

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  10. 30. sij

    서울대 붙고 숙대 붙었으면 닥 전자로 갔을 애들이 이제와서 여대 부심 부리는 것도 참 웃겨. 결국 한국 고등학생 출신이면 수능치고 대가리 맘추는 건 똑같고 ^래디컬^ 페미니즘도 이건 못 고치는 듯.

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  11. proslijedio/la je Tweet
    29. sij

    Integration of eQTL and a Single-Cell Atlas in the Human Eye Identifies Causal Genes for Age-Related Macular Degeneration

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  12. proslijedio/la je Tweet
    28. sij

    We wrote the review that I wished I'd had when I started my PhD in gene regulation & genomics! Read for our take on the past 40 yrs of enhancer biology, a def of an "enhancer", and how we think modern tech (like CRISPR screens) will enable the next era of understanding the genome

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  13. proslijedio/la je Tweet
    27. sij

    : The mismeasure of genes: no support for the genetic hypothesis of the Black-white achievement gap using polygenic scores and tests for divergent selection

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  14. proslijedio/la je Tweet
    28. sij

    Considering Charles Murray's new book comes out tomorrow it's good timing that this little side-project I took on (in the middle of my comprehsensive exams!) just came out.

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  15. proslijedio/la je Tweet
    27. sij

    Terrific commentary by on ANDROMEDA study, raising serious questions about how Hardwicke and Ioannidis handled their survey of signatories to the 'end of significance' letter.

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  16. proslijedio/la je Tweet
    13. ožu 2018.

    "Causal Inference: The Mixtape" (v1.0) is online. Consider this a beta version. Feel free to share it, light it on fire, use it for your class, whatever. It has 108k words, making it slightly shorter than MHE. Criticisms and suggestions are welcome. TY

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  17. proslijedio/la je Tweet
    27. sij

    In 2015, Nelson et al estimate that drug targets with support from GWAS studies are twice as likely to succeed: Now, King et al show this estimate to be even higher:

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  18. proslijedio/la je Tweet
    4. pro 2019.

    I made a flowchart to help people choose which causal inference book to read :)

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  19. proslijedio/la je Tweet
    22. sij

    (1/10) Happy to announce that my paper with is officially out on JRSS-B! () In this paper, we develop new sensitivity analyses tools to precisely quantify how strong confounders need to be to overturn your research conclusions.

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  20. 24. sij

    성별정정수술이 의약업계의 거대한 음모란다. 그래서 한국인 성형외과 전문의 중 성별정정수술을 할 줄 아는 사람이 한 명도 없구나? ㅋㅋㅋㅋㅋㅋ

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