[R-meta] Does clubSandwich::coef_test() handle crossed random-effects?

[Farzad Keyhan]

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 using 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 using gmail.com>
> wrote:
>
>> On Sun, Oct 3, 2021 at 1:18 PM Farzad Keyhan <f.keyhaniha using 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.
>>
>

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