Conduct sensitivity analyses across various values of the assumed sample correlation on the overall average effect in the CHE-RVE model
Source:R/rho_impact.R
map_rho_impact.Rd
Conduct sensitivity analyses across various values of the assumed sample correlation on the overall average effect in the CHE-RVE model
Usage
map_rho_impact(
data,
yi,
vi,
studyid,
r = seq(0, 0.9, 0.1),
random = "~ 1 | studyid / esid",
smooth_vi = TRUE
)
Arguments
- data
Data frame including relevant data for the function.
- yi
Vector of length k with the observed effect sizes/outcomes.
- vi
Sampling variance estimates of the observed effect sizes.
- studyid
Study ID specifying the cluster structure of the included studies.
- r
A numerical value or a vector specifying the assumed sampling correlation between within-study effect size estimates. Default is seq(0, .9, .1).
- random
Formula to specify the random-effects structure of the model. Default is "~ 1 | studyid / esid", which amounts to fitting the correlated-hierarchical effects (CHE) model.
- smooth_vi
Logical specifying whether to take the average
vi
within in each study. Default isTRUE
.
Value
a tibble
of class map_rho
with information about the estimated beta value, confidence and prediction intervals,
as well as variance components across specified values of the assumed sampling correlation.
Examples
Diet_dat <- Dietrichson2021_data |> dplyr::mutate(vg = SE_g^2)
map_rho_impact(
data = head(Diet_dat, 100),
yi = Effectsize_g,
vi = vg,
studyid = Study_ID
)
#> # A tibble: 10 × 11
#> beta se_b ci_l ci_u pi_l pi_u omega tau total_sd rho avg_var
#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <lgl>
#> 1 0.237 0.0741 0.0816 0.393 -0.415 0.889 7.58e-6 0.301 0.301 0 TRUE
#> 2 0.234 0.0736 0.0798 0.389 -0.411 0.879 7.16e-2 0.289 0.298 0.1 TRUE
#> 3 0.232 0.0731 0.0784 0.385 -0.409 0.873 1.07e-1 0.276 0.296 0.2 TRUE
#> 4 0.229 0.0726 0.0768 0.382 -0.408 0.866 1.31e-1 0.263 0.294 0.3 TRUE
#> 5 0.227 0.0721 0.0752 0.378 -0.406 0.860 1.51e-1 0.250 0.292 0.4 TRUE
#> 6 0.224 0.0716 0.0736 0.375 -0.406 0.854 1.69e-1 0.236 0.291 0.5 TRUE
#> 7 0.222 0.0712 0.0721 0.372 -0.405 0.849 1.86e-1 0.222 0.289 0.6 TRUE
#> 8 0.220 0.0707 0.0705 0.369 -0.406 0.845 2.01e-1 0.207 0.288 0.7 TRUE
#> 9 0.217 0.0703 0.0690 0.366 -0.407 0.842 2.16e-1 0.190 0.288 0.8 TRUE
#> 10 0.215 0.0699 0.0676 0.363 -0.410 0.840 2.30e-1 0.173 0.287 0.9 TRUE