The role of correspondence analysis in medical research
Bojan Žlahtič,
Peter Kokol,
Helena Blažun Vošner
et al.
Abstract:Correspondence analysis (CA) is a multivariate statistical and visualization technique. CA is extremely useful in analyzing either two- or multi-way contingency tables, representing some degree of correspondence between columns and rows. The CA results are visualized in easy-to-interpret “bi–plots,” where the proximity of items (values of categorical variables) represents the degree of association between presented items. In other words, items positioned near each other are more associated than those located f… Show more
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