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.
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.
Hello, Daniel. Thank you for the video. It's really helpful.
Glad you found the video helpful, thanks for taking the time to leave a comment!
Thanks Dani so much helpful
So helpful, thank you!
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.
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.
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?
could you pls show us how to do network meta anlysis using "gemtc" package?
Is it the part of Network Meta-analysis ?
fit