[R-meta] Combine HR from multiple groups?
ruecker @end|ng |rom |mb|@un|-|re|burg@de
Thu Feb 21 16:29:21 CET 2019
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,
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.
> 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
Mail: ruecker using imbi.uni-freiburg.de
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