CONDITIONAL INDEPENDENCE TEST FOR CATEGORICAL DATA USING POISSON LOG-LINEAR MODEL

10.6339/JDS.201704_15(2).0010

Michail Tsagris

Conditional independence ； categorical data ； Poisson log-linear models

Journal of Data Science

15卷2期（2017 / 04 / 01）

351 - 360

英文

We demonstrate how to test for conditional independence of two variables with categorical data using Poisson log-linear models. The size of the conditioning set of variables can vary from 0 (simple independence) up to many variables. We also provide a function in R for performing the test. Instead of calculating all possible tables with for loop we perform the test using the log-linear models and thus speeding up the process. Time comparison simulation studies are presented.