How to perform a Bayesian meta-analysis in R

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  • Опубліковано 23 жов 2024

КОМЕНТАРІ • 10

  • @fenetbelay2251
    @fenetbelay2251 Рік тому

    Hello, Daniel. Thank you for the video. It's really helpful.

    • @dsquintana
      @dsquintana  Рік тому +1

      Glad you found the video helpful, thanks for taking the time to leave a comment!

  • @saadalhumaid3959
    @saadalhumaid3959 3 роки тому

    Thanks Dani so much helpful

  • @juliaclarke16
    @juliaclarke16 3 роки тому

    So helpful, thank you!

  • @klaows
    @klaows 2 роки тому

    Is it the part of Network Meta-analysis ?

  • @luzelenaduranc.3466
    @luzelenaduranc.3466 3 роки тому

    Hello Daniel, this is my first attempt to perform a meta-analysis and I am finding your videos really helpful. Could you please help me with some doubts: If I am doing a metaanalysis in which the data include group A (control) compared to group B (injury) and group C (injury + tto).
    During the data preparation in excel, I can estimate the effect size by each comparison (A x B and A x C) and repeat the article information (e.g. Authors and year) and then proceed to run the network metaanalysis using the netmeta function? In this case the A group will be used as reference group. Is it correct? Thank in advance.

    • @Daniel-wb6yl
      @Daniel-wb6yl 3 роки тому

      Hello, have you figured it out? I'm also trying to conduct a A x B and A x C meta-analysis. Would you show me some guide?

  • @ciuhkimo
    @ciuhkimo 3 роки тому

    Thanks for your great teaching; However, I came to a problem about running the RoBMA package, and there was no solution after searching the internet, and I am not sure whether is the wrong question I search or the computer itself (M1 MacBook, arm core, R 4.0.5, using Rosseta2), here is the message I copied from the message:
    Loading required namespace: runjags
    Please, note the following changes in version 1.2.0 (see NEWS for more details):
    - all models are now estimated using the likelihood of effects sizes (instead of t-statistics)
    - parametrization of random effect models changed (the studies' true effects are marginalized out of the likelihood)
    Warning message:
    In value[[3L]](cond) :
    The RoBMA module couldn't be loaded from /Library/Frameworks/R.framework/Versions/4.0/Resources/library/RoBMA/libs. libname: /Library/Frameworks/R.framework/Versions/4.0/Resources/library, pkgname: RoBMA.

  • @MohamedAli-kv7mr
    @MohamedAli-kv7mr 2 роки тому

    could you pls show us how to do network meta anlysis using "gemtc" package?

  • @jorgemmmmteixeira
    @jorgemmmmteixeira 3 роки тому

    fit