Abstract
Categories unlike continuous data need not have stepping functions. In order to apply regression analysis for their analysis we need to recode them into multiple binary (dummy) variables. Particularly, if Gaussian distributions in the outcome are uncertain, automatic non-parametric testing is an adequate and very convenient modern alternative. Examples are given.
This chapter was previously published in “Machine learning in medicine-cookbook 2” as Chap. 5, 2014.
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Cleophas, T.J., Zwinderman, A.H. (2020). Various Methods for Analyzing Predictor Categories (60 and 30 Patients). In: Machine Learning in Medicine – A Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-030-33970-8_29
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DOI: https://doi.org/10.1007/978-3-030-33970-8_29
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Publisher Name: Springer, Cham
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