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.

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)