The article discusses how to analyze relationships in two-way tables using information theory. It explains how to interpret odds, odds ratios, and relative risks in these tables. The researchers introduce the entropy correlation coefficient (ECC) for binary variables and show its relation to the Pearson chi-square statistic. They also present the RC (M) association model for general two-way tables and discuss its properties from an entropy perspective. The ECC is extended to analyze associations in the RC (M) model.