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Computes the standard error for a log odds ratio

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

Computes a log odds ratio and its standard error using the frequency counts and sample sizes in a 2-group design. These frequency counts and sample sizes can be obtained from a 2x2 contingency table. The log odd ratio and its standard error are computed using a .5 addition to each frequency count of the 2x2 contingency table. This function is useful in a meta-analysis of odds ratios where some studies report the sample odds ratio and its standard error and other studies only report the frequency counts for a 2x2 contingency table. The log odds ratio and standard error output from this function can be used as input in the meta.ave.gen.log function.

Usage

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

Arguments

f1

number of participants who have the outcome in group 1

n1

sample size for group 1

f2

number of participants who have the outcome in group 2

n2

sample size for group 2

Value

Returns a one-row matrix:

  • Estimate - estimated log odds ratio

  • SE - standard error

References

Bonett DG, Price RM (2015). “Varying coefficient meta-analysis methods for odds ratios and risk ratios.” Psychological Methods, 20(3), 394–406. ISSN 1939-1463, doi:10.1037/met0000032 .

Examples

se.oddsratio(36, 50, 21, 50)
#>                  Estimate        SE
#> Log odds ratio:  1.239501 0.4204435

# Should return: 
#                  Estimate        SE
# Log odds ratio:  1.239501 0.4204435