meta.sub.gen: Confidence interval for a subgroup difference in average...

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Confidence interval for a subgroup difference in average effect size

Description

Computes the estimate, standard error, and confidence interval for a difference in the average effect size (any type of effect size) for two mutually exclusive subgroups of studies. Each subgroup can have one or more studies. All of the effects sizes should be compatible.

Usage

meta.sub.gen(alpha, est, se, group)

Arguments

alpha	alpha level for 1-alpha confidence
est	vector of estimated effect sizes
se	vector of effect size standard errors
group	vector of group indicators: 1 for set A 2 for set B 0 to ignore

Value

Returns a matrix with three rows:

• Row 1 - estimate for Set A

• Row 2 - estimate for Set B

• Row 3 - estimate for difference, Set A - Set B

The columns are:

• Estimate - estimated average effect size or difference

• SE - standard error

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

Examples

est <- c(.920, .896, .760, .745)
se <- c(.098, .075, .069, .055) 
group <- c(1, 1, 2, 2)
meta.sub.gen(.05, est, se, group)

# Should return:
#                Estimate         SE          LL        UL
# Set A:           0.9080 0.06170292 0.787064504 1.0289355
# Set B:           0.7525 0.04411916 0.666028042 0.8389720
# Set A - Set B:   0.1555 0.07585348 0.006829917 0.3041701

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.