Chi-squared, Yule’s Q and likelihood ratios in tabular audiology data

Naveed Anwar, Michael Oakes, Ken McGarry

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

4 Citations (Scopus)


In this chapter, we have used the chi-squared test and Yule’s Q measure to discover associations in tables of patient audiology data. These records are examples of heterogeneous medical records, since they contain audiograms, textual notes and typical relational fields. In our first experiment we used the chi-squared measure to discover associations between the different fields of audiology data such as patient gender and patient age with diagnosis and the type of hearing aid worn. Then, in our second experiment we used Yule’s Q to discover the strength and direction of the significant associations found by the chi-squared measure. Finally, we examined the likelihood ratio used in Bayesian evidence evaluation. We discuss our findings in the context of producing an audiology decision support system.
Original languageEnglish
Title of host publicationElectrical Engineering and Applied Computing
EditorsSio-long Ao, Len Gelman
Place of PublicationLondon
ISBN (Print)9789400711914
Publication statusPublished - 7 Jun 2011

Publication series

NameLecture Notes in Electrical Engineering


Dive into the research topics of 'Chi-squared, Yule’s Q and likelihood ratios in tabular audiology data'. Together they form a unique fingerprint.

Cite this