Abstract
To assess whether linear, logistic and Cox modeling can be used to train clinical data samples to make predictions about groups and individual patients.
This chapter was previously published in “Machine learning in medicine-cookbook 1” as Chap. 4, 2013.
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Cleophas, T.J., Zwinderman, A.H. (2015). Linear, Logistic, and Cox Regression for Outcome Prediction with Unpaired Data (20, 55, and 60 Patients). In: Machine Learning in Medicine - a Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_19
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DOI: https://doi.org/10.1007/978-3-319-15195-3_19
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15194-6
Online ISBN: 978-3-319-15195-3
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