R/meta_comp.R
meta.lc.prop.ps.Rd
Computes the estimate, standard error, and adjusted Wald confidence interval for a linear contrast of paired-samples proportion differences from two or more studies.
meta.lc.prop.ps(alpha, f11, f12, f21, f22, v)
alpha level for 1-alpha confidence
vector of frequency counts in cell 1,1
vector of frequency counts in cell 1,2
vector of frequency counts in cell 2,1
vector of frequency counts in cell 2,2
vector of contrast coefficients
Returns 1-row matrix with the following columns:
Estimate - estimated linear contrast
SE - standard error
LL - lower limit of the adjusted Wald confidence interval
UL - upper limit of the adjusted Wald confidence interval
Bonett DG, Price RM (2014). “Meta-analysis methods for risk differences.” British Journal of Mathematical and Statistical Psychology, 67(3), 371--387. ISSN 00071102, doi:10.1111/bmsp.12024 .
f11 <- c(17, 28, 19)
f12 <- c(43, 56, 49)
f21 <- c(3, 5, 5)
f22 <- c(37, 54, 39)
v <- c(.5, .5, -1)
meta.lc.prop.ps(.05, f11, f12, f21, f22, v)
#> Estimate SE LL UL
#> Contrast -0.01436285 0.06511285 -0.1419817 0.113256
# Should return:
# Estimate SE LL UL
# Contrast -0.01436285 0.06511285 -0.1419817 0.113256