Abstract
Data files that assess the effect of various predictors on frequency counts of morbidities/mortalities can be classified into multiple cells with varying incident risks (like, e.g., the incident risk of infarction). The underneath table gives an example:
This chapter was previously published in “Machine learning in medicine-cookbook 3” as Chap. 5, 2014.
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Cleophas, T.J., Zwinderman, A.H. (2015). Loglinear Models for Assessing Incident Rates with Varying Incident Risks (12 Populations). In: Machine Learning in Medicine - a Complete Overview. Springer, Cham. https://doi.org/10.1007/978-3-319-15195-3_38
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DOI: https://doi.org/10.1007/978-3-319-15195-3_38
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-15194-6
Online ISBN: 978-3-319-15195-3
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