[R-meta] Nestedness in meta-analysis data using R (metafor or metaSEM packages)

[Reza Norouzian]

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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