subgroup_power {metapower}

Compute Power for Subgroup Analysis in Meta-analysis

Description

Computes statistical power for different subgroups under fixed and random effects models.

Usage

subgroup_power(
  n_groups,
  effect_sizes,
  study_size,
  k,
  i2 = 0.5,
  es_type,
  p = 0.05,
  con_table = NULL
)

Arguments

n_groups

Numerical value for the number of subgroups.

effect_sizes

Numerical values for effect sizes of for each group.

study_size

Numerical value for number of participants (per study).

k

Numerical value for total number of studies.

i2

Numerical value for Heterogeneity estimate (i^2).

es_type

Character reflecting effect size metric: 'r', 'd', or 'or'.

p

Numerical value for significance level (Type I error probability).

con_table

(Optional) List of numerical values for 2x2 contingency tables as a vector in the following format: c(a,b,c,d). These should be specified for each subgroup (i.e., n_groups).

2x2 Table	Group 1	Group 2
Present	a	b
Not Present	c	d

Value

Estimated Power estimates for subgroup differences under fixed- and random-effects models

See Also

https://jason-griffin.shinyapps.io/shiny_metapower/

Examples

subgroup_power(n_groups = 2,
               effect_sizes = c(.1,.5),
               study_size = 20,
               k = 10,
               i2 = .5,
               es_type = "d")
subgroup_power(n_groups = 2,
               con_table = list(g1 = c(6,5,4,5), g2 = c(8,5,2,5)),
               study_size = 40,
               k = 20,
               i2 = .5,
               es_type = "or")