Abstract
In Chap. 9 the typology of medical data was reviewed. Nominal data are discrete data without a stepping function like genders, age classes, family names. They can be assessed with pie charts, frequency tables and bar charts. Statistical testing is not of much interest. Statistical testing becomes, however, interesting, if we want to know whether two nominal variables like treatment modality and treatment outcome are differently distributed between one another. An interaction matrix of these two nominal variables could, then, be used to test, whether one treatment performs better than the other.
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Cleophas, T.J., Zwinderman, A.H. (2020). Predictions from Nominal Clinical Data (450 Patients). In: Machine Learning in Medicine – A Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-030-33970-8_10
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DOI: https://doi.org/10.1007/978-3-030-33970-8_10
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