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Case Study in Binary Logistic Regression, Model Selection and Approximation: Predicting Cause of Death

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Regression Modeling Strategies

Part of the book series: Springer Series in Statistics ((SSS))

Abstract

This chapter contains a case study on developing, describing, and validating a binary logistic regression model. In addition, the following methods are exemplified:

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References

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  4. E. W. Steyerberg, M. J. C. Eijkemans, F. E. Harrell, and J. D. F. Habbema. Prognostic modelling with logistic regression analysis: A comparison of selection and estimation methods in small data sets. Stat Med, 19:1059–1079, 2000.

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Harrell, F.E. (2015). Case Study in Binary Logistic Regression, Model Selection and Approximation: Predicting Cause of Death. In: Regression Modeling Strategies. Springer Series in Statistics. Springer, Cham. https://doi.org/10.1007/978-3-319-19425-7_11

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