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

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Confidence interval for a log-linear contrast of odds ratios

Description

Computes the estimate, standard error, and confidence interval for an exponentiated log-linear contrast of odds ratios from two or more studies.

Usage

meta.lc.odds(alpha, f1, f2, n1, n2, v)

Arguments

alpha	alpha level for 1-alpha confidence
f1	vector of group 1 frequency counts
f2	vector of group 2 frequency counts
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

• exp(Estimate) - exponentiated log-linear contrast

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

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

References

\insertRef

Bonett2015vcmeta

Examples

n1 <- c(50, 150, 150)
f1 <- c(16, 50, 25)
n2 <- c(50, 150, 150)
f2 <- c(7, 15, 20)
v <- c(1, -1, 0)
meta.lc.odds(.05, f1, f2, n1, n2, v)

# Should return:
#            Estimate        SE  exp(Estimate)   exp(LL)  exp(UL)
# Contrast -0.4596883 0.5895438      0.6314805 0.1988563 2.005305

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