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Confidence interval for a linear contrast of proportion differences in paired-samples studies

Source: 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.

Usage

meta.lc.prop.ps(alpha, f11, f12, f21, f22, v)

Arguments

alpha

alpha level for 1-alpha confidence

f11

vector of frequency counts in cell 1,1

f12

vector of frequency counts in cell 1,2

f21

vector of frequency counts in cell 2,1

f22

vector of frequency counts in cell 2,2

v

vector of contrast coefficients

Value

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

References

Bonett DG, Price RM (2012). “Adjusted wald confidence interval for a difference of binomial proportions based on paired data.” Journal of Educational and Behavioral Statistics, 37(4), 479–488. ISSN 1076-9986, doi:10.3102/1076998611411915 .

Examples

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