subgroup_power: Compute Power for Subgroup Analysis in Meta-analysis

In metapower: Power Analysis for 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")

metapower documentation built on Feb. 8, 2021, 5:07 p.m.