The Woolf test and CI for a common odds ratio

(A Wald-type test and CI based on the inverse variance estimate)

Described in Chapter 10 "Stratified 2x2 Tables and Meta-Analysis"

Woolf_test_and_CI_stratified_2x2(n, alpha = 0.05)

Arguments

n: the observed table (a 2x2xk matrix, where k is the number of strata)
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

# Smoking and lung cancer (Doll and Hill, 1950)
Woolf_test_and_CI_stratified_2x2(doll_hill_1950)
#> The Woolf test: P = 0.00017, Z =  3.763
#> The Woolf CI: thetahatIV = 3.5563 (95% CI 1.8365 to 6.8866)

# Prophylactice use of Lidocaine in myocardial infarction (Hine et al., 1989)
Woolf_test_and_CI_stratified_2x2(hine_1989)
#> The Woolf test: P = 0.04613, Z =  1.994
#> The Woolf CI: thetahatIV = 1.7642 (95% CI 1.0098 to 3.0821)