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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 2 x 2 contingency table. The log odd ratio and its standard error are computed using a .5 addition to each frequency count of the 2 x 2 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 2 x 2 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.

For more details, see Chapter 1 of Bonett (2021, Volume 5)

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 .

Bonett DG (2021). Statistical Methods for Psychologists, Vol 1-5, https://dgbonett.sites.ucsc.edu/.

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