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

[James Pustejovsky]

Hi Fred,
The cluster argument in impute_covariance_matrix describes sets of effect
sizes that you expect to have correlated sampling errors, which arise if
multiple effect sizes are estimated from a common sample (or from partially
overlapping samples). So in your case, use cluster = study.
James

On Wed, Oct 6, 2021 at 9:03 PM Farzad Keyhan <f.keyhaniha using gmail.com> wrote:

> 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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