The Woolf logit confidence interval for the odds ratio

Described in Chapter 4 "The 2x2 Table"

Woolf_logit_CI_2x2(n, alpha = 0.05)

Arguments

n: the observed table (a 2x2 matrix)
alpha: the nominal level, e.g. 0.05 for 95% CIs

Value

An object of the contingencytables_result class, basically a subclass of base::list(). Use the utils::str() function to see the specific elements returned.

Examples

# A case-control study of GADA exposure on IPEX syndrome
# (Lampasona et al., 2013):
Woolf_logit_CI_2x2(lampasona_2013)
#> The Woolf logit CI: estimate = 5.6250 (95% CI 1.0773 to 29.3710)

# The association between CHRNA4 genotype and XFS (Ritland et al., 2007):
Woolf_logit_CI_2x2(ritland_2007)
#> The Woolf logit CI: estimate = 0.0000 (95% CI 0.0000 to    Inf)