[R-meta] Specifying the random effect structure of our multilevel meta-analysis in metafor

[James Pustejovsky]

Hi Paco,

Responses below.

James

On Mon, Jan 23, 2023 at 4:25 PM Tomas-Valiente Jorda Francisco <
tomasf using student.ethz.ch> wrote:

> One clarification question on the RVE approach you suggest. Your proposal
> is that (as per the code below) we estimate our model with metafor::rma.mv
> using some assumed variance-covariance matrix and that for hypothesis
> testing we use clubSandwich's coef_test or coef_int or Wald_test, right?
> Or did I misunderstand you?
>
>
> V2 <- impute_covariance_matrix(vi=diag(V), cluster=df$experiment, r=0.6)
>
> model <- rma.mv(effect, random = list(~ 1 | experiment / voting_prop, ~ 1
> | arm.in.experiment), data = df, V = V2, mods = ~ voting_prop)
>
> coef_test(model, vcov="CR2")
>
Correct. You can also accomplish the same thing using the metafor::robust()
function, which calls clubSandwich under the hood:

model_robust <- robust(model, cluster = experiment, clubSandwich = TRUE)

For tests of hypotheses involving multiple parameters, you'll still need to
use clubSandwich::Wald_test() or wildmeta::Wald_test_cwb().

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