[R-meta] Does clubSandwich::coef_test() handle crossed random-effects?
Dear James, One quick question, (recall I have 'scales' subsuming 'studies' subsuming 'true effects'). In this case, to set up a V matrix, should I use 'study' as or 'scale' to define the 'cluster' argument in 'impute_covariance_matrix()'? Thanks, Fred
On Sun, Oct 3, 2021 at 9:25 PM Farzad Keyhan <f.keyhaniha at gmail.com> wrote:
Dear James,
I explored the issue, there was a re-coding bug. One thing that I wanted
to clarify is that in addition to the 'scale > study' nesting relationship,
the same 'scale' was used to measure different 'outcomes' and different
'scales' can be used to measure the same 'outcome' across the studies.
Do you see any potential for crossed random-effects here? (data attached
for clarity)
Fred
dat <- read.csv("https://raw.githubusercontent.com/ilzl/i/master/j.csv")
study scale yi vi es group outcome time
1 A1 p1 1.680746 0.2081713 1 1 3 0
2 A1 p1 4.122057 0.4806029 2 2 3 0
3 A1 p1 2.600443 0.2838905 3 1 3 1
4 A1 p1 3.457194 0.3836960 4 2 3 1
5 A1 p1 1.546293 0.1998273 5 1 3 2
6 A1 p1 3.071523 0.3352741 6 2 3 2
On Sun, Oct 3, 2021 at 6:59 PM James Pustejovsky <jepusto at gmail.com>
wrote:
On Sun, Oct 3, 2021 at 1:18 PM Farzad Keyhan <f.keyhaniha at gmail.com> wrote:
I see, I'm still exploring to see what has caused the two models in my previous email to give slightly different fits. Still curious though, for 'scale' and 'study' to have been crossed random effects, 'scale' should have varied in each study?
Yes.