[R-meta] Combine HR from multiple groups?

Kathrin Kuhr k@thr|n@kuhr @end|ng |rom un|-koe|n@de
Mon Feb 25 14:43:49 CET 2019

Dear Gerta,

thank you for your helpful answer - we could solve our problem using the 
paper mentioned by you.



Am 21.02.2019 um 16:29 schrieb Gerta Ruecker:
> Dear Kathrin, dear all,
> you may have a look into Rücker G, Cates CJ, Schwarzer G. Methods for 
> including information from multi‐arm trials in pairwise meta‐analysis. 
> /Res Syn Meth/. 2017;8:392–403. https://doi.org/10.1002/jrsm.1259
> In Table 3 there you find an example very similar to yours. Methods to 
> pool these data are given in subsection 4.2, with results presented in 
> Figures 9 (approximate adjustment) and 10 (exact adjustment) of this 
> paper.
> If you don't have access to the article or need further information, 
> please ask.
> Kind regards,
> Gerta
> Am 21.02.2019 um 15:17 schrieb Kathrin Kuhr:
>> Hi all,
>> our situation: In a network meta-analysis, we want to pool two nodes 
>> (two doses of the same treatment). Outcome of interest is overall 
>> survival (Hazard ratios). To include a three-arm study (arm A: 
>> treatment dose A; arm B: treatment dose B, arm C: placebo), we have 
>> to combine the two treament arms. We only have relative treatment 
>> effect, i.e. HR A vs. B, HR A vs. C, HR B vs. C. Is there a 
>> possibility to pool HR A vs. C and B vs. C? As we use the same 
>> comparator C, we cannot easily calculate a pooled meta-analysis 
>> estimate, right? And as we only have relative effects, we cannot 
>> easily pool arm A and B as for binary data or mean values, right? Or 
>> do we think too complicated?
>> We are happy for any ideas or examples.
>> Thanks,
>> Kathrin and Anne
> -- 
> Dr. rer. nat. Gerta Rücker, Dipl.-Math.
> Institute of Medical Biometry and Statistics,
> Faculty of Medicine and Medical Center - University of Freiburg
> Stefan-Meier-Str. 26, D-79104 Freiburg, Germany
> Phone:    +49/761/203-6673
> Fax:      +49/761/203-6680
> Mail:ruecker using imbi.uni-freiburg.de
> Homepage:https://www.imbi.uni-freiburg.de/persons/ruecker/person_view

Dr. rer. medic. Kathrin Kuhr, Dipl.-Stat.
AG Medizinische Statistik

Das IMSB ist umgezogen:

Universitätsklinikum Köln
Institut für Medizinische Statistik und Bioinformatik
Robert-Koch-Str. 10 (Gebäude 55, Gartenhaus; 2.OG, Raum 2.004)
D-50931 Köln

fon +49 (0)221 478-33410
fax +49 (0)221 478-33420
kathrin.kuhr using uni-koeln.de

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