Closed fmmattioni closed 6 years ago
Dear Felipe,
This feature is not implemented in the forest function (at the moment). However, you can use the attached R code as a work around.
Best wishes, Guido forest-metainf01.txt
This is great!
Thank you for the code. Very much appreciated!
Best,
Felipe
Just a quick question I have been struggling with:
Is there a way to get these additional columns (p-value, tau^2, and I^2) for the overall effect at the bottom of the forest plot? Example:
Thank you!
Felipe
This is not possible at the moment. I will put this on my TODO list.
Thanks for the feedback!
I thought it would be useful to compare the LOOCV results to the overall effect in a single place like this. Thank you again for this great package!
Best,
Felipe
I finally had time to implement this feature.
Thanks so much for implementing this - would it be possible to have this option for visualizing the results of metagen as well? I'm specifically interested in displaying the overall P-value for the fixed or random effects model
Best, Andy
You can print the p-value of the test for overall effect using argument 'test.overall', 'test.overall.fixed' and 'test.overall.random'.
Or would you like to add a column with p-values for individual studies as well as meta-analysis results?
Hi Guido,
Sorry about the delayed reply on this, in line with the feature request above I am referring to the column with the p-values for individual studies which does not currently extend to the meta-analysis results after running forest.meta on the output from metagen:
We have had no problem getting the overall p-values from the meta-analysis, but have been adding it in manually to the plot for figure generation. Hopefully this would be a useful feature for others looking to prepare their meta-analysis results for publication
Thanks so much, Andy
Hi Andy,
I changed forest.meta() accordingly.
E.g.,
forest(metagen(-2:2, 1:5 / 5, sm = "MD"), leftcols = FALSE, rightcols = c("effect", "ci", "pval"))
Best, Guido
Dear Prof. Schwarzer,
Thank you very much for this great package. I would like to know how I could print the p-values in a forest plot from metainf.
If I print the metainf results I get MD, 95%-CI, p-value, tau^2, and I^2. However, if I use a forest plot to visualize the results I only get MD and 95%-CI.
Thank you.