Abstract
In linear models of health predictors (x-values) and health outcomes (y-values), better power of testing can sometimes be obtained, if continuous predictor variables are converted into the best fit discretized ones.
This chapter was previously published in “Machine learning in medicine-cookbook 1” as Chap. 8, 2013.
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Cleophas, T.J., Zwinderman, A.H. (2015). Optimal Scaling of High-Sensitivity Analysis of Health Predictors (250 Patients). In: Machine Learning in Medicine - a Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_23
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DOI: https://doi.org/10.1007/978-3-319-15195-3_23
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15194-6
Online ISBN: 978-3-319-15195-3
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