The Z-unpooled test for association in 2x2 tables

Described in Chapter 4 "The 2x2 Table"

Z_unpooled_test_2x2(n)

Arguments

n: the observed counts (a 2x2 matrix)

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

# Example: A lady tasting a cup of tea
Z_unpooled_test_2x2(tea)
#> The Z-unpooled test: P = 0.10247, Z =  1.633

# Example: Perondi et al. (2004)
Z_unpooled_test_2x2(perondi_2004)
#> The Z-unpooled test: P = 0.01887, Z =  2.348

# Example: Lampasona et al. (2013)
Z_unpooled_test_2x2(lampasona_2013)
#> The Z-unpooled test: P = 0.02085, Z =  2.311

# Example: Ritland et al. (2007)
Z_unpooled_test_2x2(ritland_2007)
#> The Z-unpooled test: P = 0.00001, Z = -4.353