Would be great if you could show where R calculated overall, between- and within-study heterogeneity of 90, 59 and 31% respectively

What if the biomarker high values are related to no disease? I multiplied by -1 the cutoff column of the return value of ipd2diag function. However, i cannot use log transformation like this, right? What should I do? If i set log.transformation to false the calculations are made, but with negative numbers in the yougen plot. Also, i'm not sure if the result is reliable as the distribution is logistic but the value are not loged transformated

DOnt we need to use multiarm = TRUE, # Adjust for multi-arm trials in the netmeta() function in this case ?

where can i get the code directly ,like paste and copy

Dear Cheung,Thank you for this usefulness video.Please can you share a complete document or video show all commands,syntax on how to import primary data in R and how to convert then into a list of matrices.I really need it for my study.

Thanks for your tutorial. I just have a question. How can we find out what model is appropriate for our analysis? "DICS" , "CICS" or ...?

Thank you for your sharing and explanation, it is very helpful to me

Thank you for the tutorial video. I wonder how I can save figures such as forestplot, netgraph, netrank in TIFF format for publication in a journal.

The structure of the dataset (ie, name of the column, columns' disposition) must be the same of the provided examples? I need to use the metamedian function. Thank you very much

This shiny app is amazing!

Hello sir. How to access the Meta-surv R shiny app?

thank you for the video😇

can you send me a link for a video on how to run a data set (practical) in meta sem, im having some problems in running data in Meta SEM in R studio

Excellent very detailed covering all required

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101031840

Thank you for sharing

Rewatching this!

Thank you for this video, it is very helpful. However, I have a problem when trying to edit the netgraph. I have tried to adjust the cex.points based on the number of treatments, as you did, and the number of comparisons between studies for my network meta analysis, but it only gives errors. There is no problem when I run your example with your database, but I can`t do it with my study. Where did you get the n.trts function? This is the error message that I get when I try to use it: "Error in round(n.trts) : non-numeric argument to mathematical function". I have tried to use other functions but it only recognizes numeric arguments or "n" argument. Thank you very much.

is there any pooled AUC related in this apps? Thank you

hi,Dan I want to understand more about this and wanna buy this package to find out the statistical /methods errors

Thanks for sharing This VDO is very helpful for everyone who has such question “How to do critical appraisal in the SR” .Now I know FEAT . Thank you .

a great toolbox

Hello

Great

Awesome! Can't wait!

Insightful lecture, I particularly liked the idea of brief video-guides / keeping recordings public and balancing review quality with teaching outcomes. Cochrane authors sometimes work on a shoestring with few to no resources though :)

Awesome presentation! Hope to build an impactful R package someday in the near future.

Just watching these open efforts to build helpful things together makes me wish we were better at that in my field (social work)

"happy citesourcing"! 😄

Interesting

Good tutorial

Great

Cool

Cool

Great

I am glad to be joining this event

I am glad to b here

its a great presentation

I do not think you can automate research weaving. Several steps of the data filtering must be conducted by a human. Redundancies of author's names, countries, institutions, non-relevant references... It's as systematic reviews, for now, we still need a human, or the quality of the work will be questionable.

Amazing presentation! Congrats

Correct URL for my presentation's code repo -- use "ihmeuw" as the account name (instead of "ihme"): github.com/ihmeuw/clean-extracted-sr-data Sorry for the typo!