[R-meta] Nestedness in meta-analysis data using R (metafor or metaSEM packages)
James Pustejovsky
jepu@to @end|ng |rom gm@||@com
Tue Nov 5 04:40:11 CET 2019
Reza,
Here is a recent article provides a review of the main analytic approaches
available for the data structure that you've described:
- Moeyaert, M., Ugille, M., Natasha Beretvas, S., Ferron, J., Bunuan,
R., & Van den Noortgate, W. (2017). Methods for dealing with multiple
outcomes in meta-analysis: a comparison between averaging effect sizes,
robust variance estimation and multilevel meta-analysis. *International
Journal of Social Research Methodology*, *20*(6), 559-572.
The question has come up periodically on the mailing list too, so you might
find past posts helpful. A few to get you started:
-
https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2017-September/000197.html
-
https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2017-August/000094.html
-
https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2019-March/001479.html
-
https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2018-October/001153.html
James
On Sun, Nov 3, 2019 at 7:36 PM Reza Norouzian <rnorouzian using gmail.com> wrote:
> Hi,
>
> I have 51 studies. These studies have produced 257 effect sizes (denoted
> y).
> In each study, each effect size is obtained some time (categorized as 1, 2,
> 3, 4) after a treatment. Also, in15 of the studies, some effect sizes have
> been reported on up to 4 correlated outcomes.
>
> What reasonable model using the library(metafor) [e.g., via rma.mv] or
> library(metaSEM) [e.g., via meta3] can capture the structure of my data
> described above?
>
> For concreteness, I'm providing demo data below.
>
> d <- read.csv("https://raw.githubusercontent.com/izeh/m/master/e.csv",
> h = T) # DATA
> # First 6 lines of DATA:
>
> study.name y SD id outcome time 1
> Al.Ahm_Al.Jar 0.533733731 0.4286817 1 1 1 2
> Al.Ahm_Al.Jar 0.296116599 0.4132781 1 1 4 3
> Al.Ahm_Al.Jar -0.155386371 0.4267881 1 1 1 4
> Al.Ahm_Al.Jar 0.131015334 0.4384274 1 1 4 5
> Al_Ajmi 3.444226818 0.2182068 2 1 1 6
> Al_Ajmi 4.376457433 0.2090771 2 1 2
>
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>
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