meta.lc.meanratio2: Confidence interval for a log-linear contrast of mean ratios...

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Confidence interval for a log-linear contrast of mean ratios from 2-group studies

Description

Computes the estimate, standard error, and confidence interval for a log-linear contrast of 2-group mean ratios from two or more studies. A Satterthwaite adjustment to the degrees of freedom is used to improve the accuracy of the confidence interval. Equality of variances within or across studies is not assumed.

Usage

meta.lc.meanratio2(alpha, m1, m2, sd1, sd2, n1, n2, v)

Arguments

alpha	alpha level for 1-alpha confidence
m1	vector of estimated means for group 1
m2	vector of estimated means for group 2
sd1	vector of estimated SDs for group 1
sd2	vector of estimated SDs for group 2
n1	vector of group 1 sample sizes
n2	vector of group 2 sample sizes
v	vector of contrast coefficients

Value

Returns 1-row matrix with the following columns:

• Estimate - estimated log-linear contrast

• SE - standard error of log-linear contrast

• LL - lower limit of the confidence interval

• UL - upper limit of the confidence interval

• exp(Estimate) - exponentiated log-linear contrast

• exp(LL) - lower limit of the exponentiated confidence interval

• exp(UL) - upper limit of the exponentiated confidence interval

• df - degrees of freedom

References

\insertRef

Bonett2020vcmeta

Examples

m1 <- c(45.1, 39.2, 36.3, 34.5)
m2 <- c(30.0, 35.1, 35.3, 36.2)
sd1 <- c(10.7, 10.5, 9.4, 11.5)
sd2 <- c(12.3, 12.0, 10.4, 9.6)
n1 <- c(40, 20, 50, 25)
n2 <- c(40, 20, 48, 26)
v <- c(.5, .5, -.5, -.5)
meta.lc.meanratio2(.05, m1, m2, sd1, sd2, n1, n2, v)

# Should return:
#           Estimate         SE        LL        UL  exp(Estimate)
# Contrast 0.2691627 0.07959269 0.1119191 0.4264064      1.308868
#           exp(LL)  exp(UL)       df
# Contrast 1.118422 1.531743 152.8665

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