The Pearson chi-squared and likelihood ratio tests for homogeneity over strata

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

Pearson_LR_homogeneity_test_stratified_2x2(n, link = "logit")

Arguments

n: the observed table (a 2x2xk matrix, where k is the number of strata)
link: the link function ('linear', 'log', or 'logit')

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)
Pearson_LR_homogeneity_test_stratified_2x2(doll_hill_1950)
#> The likelihood ratio test: P = 0.01661, T0 = 5.737 (df = 1)
#> The Pearson chi-squared test: P = 0.02471, T0 = 5.044 (df = 1)

# Prophylactice use of Lidocaine in myocardial infarction (Hine et al., 1989)
Pearson_LR_homogeneity_test_stratified_2x2(hine_1989)
#> The likelihood ratio test: P = 0.90840, T0 = 1.540 (df = 5)
#> The Pearson chi-squared test: P = 0.90876, T0 = 1.537 (df = 5)