[R-meta] Network Meta Analysis with multiple Time points
Dear Tobis, Please register to post to the mailing list. As for your question: Yes, metafor can in principle do this. You would have to combine methods from these examples: https://wviechtb.github.io/metafor/reference/dat.fine1993.html https://wviechtb.github.io/metafor/reference/dat.ishak2007.html (which deal with multiple estimates from the same study/group over time) with methods from these examples: https://wviechtb.github.io/metafor/reference/dat.hasselblad1998.html https://wviechtb.github.io/metafor/reference/dat.senn2013.html (which are examples of network MAs). I do not have any concrete examples to illustrate this though. You could also look into these articles: Dakin, H. A., Welton, N. J., Ades, A. E., Collins, S., Orme, M., & Kelly, S. (2011). Mixed treatment comparison of repeated measurements of a continuous endpoint: An example using topical treatments for primary open-angle glaucoma and ocular hypertension. Statistics in Medicine, 30(20), 2511-2535. Ding, Y., & Fu, H. (2013). Bayesian indirect and mixed treatment comparisons across longitudinal time points. Statistics in Medicine, 32(15), 2613-2628. Jansen, J. P., Vieira, M. C., & Cope, S. (2015). Network meta-analysis of longitudinal data using fractional polynomials. Statistics in Medicine, 34(15), 2294-2311. They might provide code/examples. I think all of them use a Bayesian framework for model fitting. Best, Wolfgang
-----Original Message----- From: R-sig-meta-analysis [mailto:r-sig-meta-analysis-bounces at r-project.org] On Behalf Of t.saueressig at gmx.de Sent: Wednesday, 07 October, 2020 16:33 To: r-sig-meta-analysis at r-project.org Subject: [R-meta] Network Meta Analysis with multiple Time points Hello All, I have question concerning a network Meta analysis that contains studies which measure their results at multiple time points. Which package can deal with this sort of Data? I know metafor can handle multiple time points in pairwise MA via multivariate methods. So it is probably possible to do that too? Are there any examples how to do that? Regards Tobias