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.
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Cleophas, T.J., Zwinderman, A.H. (2014). Optimal Scaling of High-Sensitivity Analysis of Health Predictors (250 Patients). In: Machine Learning in Medicine - Cookbook. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-04181-0_8
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DOI: https://doi.org/10.1007/978-3-319-04181-0_8
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-04181-0
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