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Conditional Independence Test for Categorical Data Using Poisson Log-Linear Model
Volume 15, Issue 2 (2017), pp. 345–354
Michail Tsagris  

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https://doi.org/10.6339/JDS.201704_15(2).0010
Pub. online: 4 August 2022      Type: Research Article      Open accessOpen Access

Published
4 August 2022

Abstract

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 loglinear models and thus speeding up the process. Time comparison simulation studies are presented.

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Keywords
Conditional independence categorical data Poisson log-linear models

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Journal of data science

  • Online ISSN: 1683-8602
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