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Automatic Regression for Maximizing Linear Relationships (55 patients)

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Machine Learning in Medicine - a Complete Overview

Abstract

Automatic linear regression is in the Statistics Base add-on module SPSS version 19 and up. X-variables are automatically transformed in order to provide an improved data fit, and SPSS uses rescaling of time and other measurement values, outlier trimming, category merging and other methods for the purpose. This chapter is to assess whether automatic linear regression is helpful to obtain an improved precision of analysis of clinical trials.

This chapter was previously published in “Machine learning in medicine-cookbook 2” as Chap. 7, 2014.

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Cleophas, T.J., Zwinderman, A.H. (2015). Automatic Regression for Maximizing Linear Relationships (55 patients). In: Machine Learning in Medicine - a Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_31

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