[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 21 19:54:24 CET 2020
first of all, I want to thank you again for your help!
I am very thankful and really appreciate that you took time to answer my Questions.
Dear Gerta R�cker, I apologize for the late Response, your Reply in the Mailing list hadn't reached me for some reason
but was forwarded to me now.
The Problem is Pretty much solved after entering the data in the Format you suggested.
I no longer get an error for any of the nine 3-arm-studies, except for one - study "34".
Output when applying "details.chkmultiarm":
Multi-arm studies with inconsistent treatment effects:
studlab treat1 treat2 TE resid
34 PE SIT -0.144613 0.00143599
34 PE WL -1.855309 -0.00143599
34 SIT WL -1.706388 0.00143599
resid - residual deviation (observed minus expected)
TE - treatment estimate
I checked the data that I entered many, many times and compared it to the values in the paper.
The values are correct, the data structure should be correct now.
I am puzzled - and feeling a bit uncomfortable asking this last Question.
But I am hoping that someone has an Explanation?
Von: Rogasch, Rebecca Manuela Madeleine
Gesendet: Samstag, 8. Februar 2020 14:38:23
An: Guido Schwarzer; r-sig-meta-analysis using r-project.org
Betreff: AW: [R-meta] [netmeta] Error message in network meta-analysis: "Problem with multi-arm studies: Studies with inconsistent treatment estimates"
Thank you very much for the quick Reply and your advice!
That Explanation makes a lot of sense.
I have now tried using pairwise() to calculate the SMDs:
paired<- pairwise(list(TR1, TR2),
n = list(n_TR1, n_TR2),
mean = list(Mt2TR1, Mt2TR2),
sd = list(SDt2TR1, SDt2TR2),
data = DATA1, studlab = studlab, sm= "SMD")
This is an exerpt from the data Frame;
3-arm study in Purple:
studlab treat1 treat2 n1 mean1 sd1 n2 mean2 sd2 TE seTE age females severity income
1 1 EMDR WL 15 22.87 20.27 14 54.21 16.26 -1.65116388 0.4387386 36.54 0.76 clinical lowmid
44 100 NET WL 19 55.07 27.01 19 76.86 17.14 -0.94310177 0.3439769 29.40 0.31 clinical high income
45 104 NET PsEd 17 19.10 11.70 12 21.20 9.40 -0.18860625 0.3779770 32.85 0.62 clinical lowmid
48 107 MBI PsEd 68 46.90 18.20 66 55.20 15.30 -0.49022797 0.1754460 47.04 0.17 clinical high income
47 107 PE PsEd 68 50.60 18.50 66 55.20 15.30 -0.26905282 0.1735963 47.04 0.17 clinical high income
46 107 PE MBI 68 50.60 18.50 68 46.90 18.20 0.20049752 0.1719418 47.04 0.17 clinical high income
78 11 MBI WL NA NA NA NA NA NA -0.48920000 0.2800000 51.80 0.99 <NA> high income
sample arms self_exp n_total tr_size analysis
1 refugees 2 self-rated 29 very small completers
44 refugees 2 clinician-rated 38 very small ITT
45 refugees 2 self-rated 29 very small ITT
48 vetmil 3 self-rated 134 large ITT
47 vetmil 3 self-rated 134 large ITT
46 vetmil 3 self-rated 136 large ITT
78 civilian 2 self-rated 71 small-moderate ITT
However, I still get the same error message in the Network meta-Analysis.
A more detailed copy of the Output is available if needed.
Any advice is very much appreciated!
Von: Guido Schwarzer <sc using imbi.uni-freiburg.de>
Gesendet: Freitag, 7. Februar 2020 17:49:50
An: Rogasch, Rebecca Manuela Madeleine; r-sig-meta-analysis using r-project.org
Betreff: Re: [R-meta] [netmeta] Error message in network meta-analysis: "Problem with multi-arm studies: Studies with inconsistent treatment estimates"
I assume the problem is related to calculating SMDs in multi-arm
studies. Each pairwise comparison (in a multi-arm study) uses a
different pooled standard deviation to calculate the SMD which leads to
You could / should use pairwise() to calculate the SMDs which considers
the same pooled standard deviation to calculate the SMD in multi-arm
Best wishes, Guido
Dr. Guido Schwarzer
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center - University of Freiburg
Postal address: Stefan-Meier-Str. 26, D-79104 Freiburg
Mail: sc using imbi.uni-freiburg.de
ORCID iD: https://orcid.org/0000-0001-6214-9087
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