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Computes the estimate and standard error for a 2-group log proportion ratio

Source: R/meta_se.R
se.propratio2.Rd

Computes the Price-Bonett standard error of a 2-group proportion ratio using the frequency count and sample size for each group. The log proportion ratio and standard error output from this function can be used as input in the meta.ave.gen.log function in applications where compatible proportion ratios from a combination of 2-group and paired-samples studies are used in the meta-analysis. If the proportions in each group are small (less than .1), proportion ratios may be compatible with odds ratios and then the meta.ave.gen.log function could be used to meta-analyze any combination of log proportion ratios and log odds ratios.

Usage

se.propratio2(f1, f2, n1, n2)

Arguments

f1

number of participants in group 1 who have the outcome

f2

number of participants in group 2 who have the outcome

n1

sample size for group 1

n2

sample size for group 2

Value

Returns a one-row matrix:

  • Estimate - estimated log proportion ratio

  • SE - standard error

References

Price RM, Bonett DG (2008). “Confidence intervals for a ratio of two independent binomial proportions.” Statistics in Medicine, 27(26), 5497–5508. ISSN 02776715, doi:10.1002/sim.3376 .

Examples

se.propratio2(31, 16, 40, 40)
#>                         Estimate        SE
#> Log proportion ratio:  0.6539265 0.2136218

# Should return:
#                         Estimate        SE
# Log proportion ratio:  0.6539265 0.2136218