Simulated Multivariate Standardized Mean Difference Data

Simulated standardized mean difference data with multiple outcomes nested within studies. The data are used in examples for multivariate SMD workflows and methodology-adjusted substantive meta-regression.

Usage

smd_data

Format

A data frame with 14 rows and 7 columns:

study

Study identifier.

d

Observed standardized mean difference.

SE

Standard error of d.

N

Total study sample size.

nt

Treatment-group sample size.

nc

Control-group sample size.

r2do

Assumed within-study outcome correlation used when building SMD covariance matrices.

Source

Simulated for package examples; see data-raw/smd-data-sim.r in the source repository for the data-generation code.

Examples

smd_data
#>    study          d        SE  N nt nc r2do
#> 1      1  1.1029790 0.3323329 42 21 21  0.8
#> 2      1  1.0807423 0.3314184 42 21 21  0.8
#> 3      1  1.2026675 0.3366277 42 21 21  0.8
#> 4      2  0.9497051 0.2989903 50 25 25  0.8
#> 5      2  0.9058227 0.2975685 50 25 25  0.8
#> 6      2  0.7387299 0.2927193 50 25 25  0.8
#> 7      3 -0.3623875 0.3272417 38 19 19  0.8
#> 8      3 -0.3662575 0.3273015 38 19 19  0.8
#> 9      3 -0.3906740 0.3276934 38 19 19  0.8
#> 10     4 -0.2913245 0.3672177 30 15 15  0.8
#> 11     4 -0.2168422 0.3662963 30 15 15  0.8
#> 12     5  0.7782885 0.3063329 46 23 23  0.8
#> 13     5  0.5225738 0.3000996 46 23 23  0.8
#> 14     5  0.7311036 0.3050091 46 23 23  0.8