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Statistical Methods in Medical Research
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Correspondence analysis in medical research

Michael Greenacre

Department of Statistics, University of South Africa

Various applications of correspondence analysis to biomedical data are presented. The basic concepts of profile, mass and chi-squared distance are introduced in an initial simple example using data on the relationship between headache types and age. The main result of the correspondence analysis is a geometric map of this relationship showing how the relative frequencies of headache types change with age. A second example maps the association between personality types and various medical diagnostic groups, while a third example deals with categorical rating scales such as an efficacy scale for a medication or a scale of pain. A final example illustrates the more complex situation when several categorical variables are involved using test data on a collection of bacterial isolates, with the object of comparing bacterial types and understanding the inter-relationships of the different tests.

Statistical Methods in Medical Research, Vol. 1, No. 1, 97-117 (1992)
DOI: 10.1177/096228029200100106


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