[R-meta] [netmeta] Error message in network meta-analysis: "Problem with multi-arm studies: Studies with inconsistent treatment estimates"
Rogasch, Rebecca Manuela Madeleine
@1rerog@ @end|ng |rom un|-tr|er@de
Fri Feb 7 16:42:55 CET 2020
I'm seeking advice regarding an error message in network meta-analysis using the netmeta package.
To briefly outline the objective and describe the data structure:
I am conducting a network meta-analysis on the effectiveness of PTSD intervention programs.
The primary outcome is the PTSD total symptom score (=continuous outcome).
All studies are randomized-controlled trials. There are 8 three-arm studies in my data set and 64 two-arm studies.
I calculated the SMD (post-post) from means and SDs.
Here is an example for the data structure:
studlab sampleID OutcID TR1 TR2 Mt2TR1 SDt2TR1 Mt2TR2 SDt2TR2 n_TR1 n_TR2 n_total smd se
1 101 10101 EMDR WL 22.87 20.27 54.21 16.26 15 14 29 -1.65 0.19
100 10001 1000101 NET WL 55.07 27.01 76.86 17.14 19 19 38 -0.94 0.12
104 10401 1040101 NET PsEd 19.10 11.70 21.20 9.40 17 12 29 -0.19 0.14
When applying the netmeta function I get the following error message:
> mn1 <- netmeta(smd, se, TR1, TR2, studlab, data=dat3, sm="SMD", comb.random=TRUE)
Error: Problems in multi-arm studies!
- Studies with inconsistent treatment estimates: '107', '121', '130', '15', '22', '34', '36', '87'
- Please check original data used as input to netmeta().
- For more details, re-run netmeta() with argument details.chkmultiarm = TRUE.
- Argument 'tol.multiarm' in netmeta() can be used to relax consistency
assumption for multi-arm studies (if appropriate).
My questions are as follows:
1. I am not able to make sense of the error message regarding inconsistency within the 3-arm-studies. Can anyone help?
2. When setting the argument tol.multiarm = 0.05 it runs without any error message.
However, I am not sure what the argument does, exactly, and haven't been able to find any detailed information.
Does anyone know what the argument does or where I can find further information?
Looking forward to hearing from you!
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