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A two-step log-linear procedure for graphical representation and inference of associations in cross-classified data for disease diagnosis
Biometrical sciences and disease diagnosis in particular, are often concerned with the analysis of associations for cross-classified data, for which distance association models give us a graphical interpretation for non-sparse matrices with a low number of categories. In this framework, usually bina
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