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Generalized Linear Models for Predicting Event-Rates (50 Patients)

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Machine Learning in Medicine - Cookbook

Part of the book series: SpringerBriefs in Statistics ((BRIEFSSTATIST))

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Abstract

To assess whether in a longitudinal study event rates, defined as numbers of events per person per period, can be analyzed with the generalized linear model module.

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Correspondence to Ton J. Cleophas .

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Cleophas, T.J., Zwinderman, A.H. (2014). Generalized Linear Models for Predicting Event-Rates (50 Patients). In: Machine Learning in Medicine - Cookbook. SpringerBriefs in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-04181-0_6

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