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

Source: R/meta_se.R
se.meanratio.ps.Rd

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

Bonett DG, Price RM (2020). “Confidence intervals for ratios of means and medians.” Journal of Educational and Behavioral Statistics, 45(6), 750–770. ISSN 1076-9986, doi:10.3102/1076998620934125 .

Examples

se.meanratio.ps(21.9, 16.1, 3.82, 3.21, .748, 40)
#>                   Estimate         SE
#> Log mean ratio:  0.3076674 0.02130161

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