Intro to Mixed Effect Models

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  • Опубликовано: 23 ноя 2024

Комментарии • 18

  • @ysabellamontano5585
    @ysabellamontano5585 7 лет назад +21

    Im loving that you sound like Jeff Goldblum and it will help with my students to learn about mixed effects models

  • @jeandelmotte3063
    @jeandelmotte3063 5 лет назад

    100 percent convinced of the interest of glmm, the approach is really important in the experimental design. It's a big deal, because how the design protocole is described, in many articles, does not take this into account !

  • @mikhailshevelev3346
    @mikhailshevelev3346 4 года назад

    Brilliant explanation

  • @hildeandyspeight6603
    @hildeandyspeight6603 5 лет назад +1

    Good video. I was wondering if you were planing on uploading a video with an example?

  • @RT-jx2th
    @RT-jx2th 4 года назад

    thank you. your video was extremely helpful. Can u make a video on GMM model and Arellano-Bond test, sargan test and abond test.

  • @matthewwroblewski8752
    @matthewwroblewski8752 6 лет назад +1

    Enjoyable and informative. Thanks!

  • @heatherevans3476
    @heatherevans3476 3 года назад

    Could you share the code that you used to make the graphs? particularly the one found at 11:07?

  • @Dr.SariHamoud
    @Dr.SariHamoud 3 года назад

    I finally understand it.

  • @ogollafredrickotieno
    @ogollafredrickotieno 3 года назад

    Wonderful

  • @EcoresolveInc
    @EcoresolveInc 6 лет назад

    Very helpful! Thanks for the video :)

  • @MohammedHAzeez
    @MohammedHAzeez 9 месяцев назад

    Very interesting
    شكرا لك

  • @perryschnabel
    @perryschnabel 3 года назад

    I don't understand what's the difference between something being a block effect and a random effect.

  • @paulorufalco
    @paulorufalco 6 лет назад

    THANK YOU!

  • @Dr.SariHamoud
    @Dr.SariHamoud 3 года назад

    Thanks'

  • @laxmanbisht2638
    @laxmanbisht2638 2 года назад

    is random effect and random parameter model same?

  • @ProfFeinman
    @ProfFeinman 2 года назад

    One example of going from data to conclusion or, say, published paper does not seem likely by half way through. This is description of mixed vs. random. Does not show you what do with it. Maybe gets better second half.

  • @michaelmckenna7405
    @michaelmckenna7405 4 года назад

    this is not the kerri chandler you are looking for

  • @nano7586
    @nano7586 3 года назад +1

    Searched for an explanation of "mixed effect models", got something totally badly introduced with very bad analogies. Sorry but you should term this video "for my students.." or alike.. this has no use for random people on youtube.