se.odds: Computes the standard error for a log odds ratio

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Computes the standard error for a log odds ratio

Description

This function 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. 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 or 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, meta.lc.gen, and meta.lm.gen functions.

Usage

se.odds(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

\insertRef

Bonett2015vcmeta

Examples

se.odds(36, 50, 21, 50)

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

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.