The adjusted log confidence interval for the ratio of probabilities

Described in Chapter 4 "The 2x2 Table"

Adjusted_log_CI_2x2(n, alpha = 0.05)

Arguments

n: the observed counts (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

Adjusted_log_CI_2x2(perondi_2004)
#> The adjusted log CI: estimate = 7.0000 (95% CI 0.9241 to 27.0523)
Adjusted_log_CI_2x2(ritland_2007)
#> The adjusted log CI: estimate = 0.0000 (95% CI 0.0089 to 2.2506)