se.meanratio.ps: Computes the standard error for a paired-samples log mean...

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Computes the standard error for a paired-samples log mean ratio

Description

This function computes the standard error of a paired-samples log mean ratio using the estimated means, estimated standard deviations, estimated Pearson correlation, and sample size. The log-mean estimate and standard error output from this function can be used as input in the meta.ave.gen, meta.lc.gen, and meta.lm.gen functions in applications where compatible mean ratios from a combination of 2-group and paired-samples experiments are used in the meta-analysis. Equality of variances is not assumed.

Usage

se.meanratio.ps(m1, m2, sd1, sd2, cor, n)

Arguments

m1	estimated mean for measurement 1
m2	estimated mean for measurement 2
sd1	estimated standard deviation for measurement 1
sd2	estimated standard deviation for measurement 2
cor	estimated correlation for measurements 1 and 2
n	sample size

Value

Returns a one-row matrix:

• Estimate - estimated log mean ratio

• SE - standard error

References

\insertRef

Bonett2020vcmeta

Examples

se.meanratio.ps(21.9, 16.1, 3.82, 3.21, .748, 40)

# Should return:
#                   Estimate         SE
# Log mean ratio:  0.3076674 0.02130161

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