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.
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Cleophas, T.J., Zwinderman, A.H. (2014). Linear, Logistic, and Cox Regression for Outcome Prediction with Unpaired Data (20, 55, and 60 Patients). In: Machine Learning in Medicine - Cookbook. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-04181-0_4
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DOI: https://doi.org/10.1007/978-3-319-04181-0_4
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-04181-0
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