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.

Table orientation

In most study designs, rows designate a grouping of the data, for instance, into treatment or exposure groups, while the columns indicate a dichotomous outcome, usually with the first column representing the outcome of interest. This designation of rows and columns may not be relevant in all study designs, please see the introduction to chapter 4 for details.

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)