Abstract
In this chapter, several important special cases of the logistic model involving a single (0, 1) exposure variable are considered with their corresponding odds ratio expressions. In particular, focus is on defining the independent variables that go into the model and on computing the odds ratio for each special case. Models that account for the potential confounding effects and potential interaction effects of covariates are emphasized.
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© 1994 Springer Science+Business Media New York
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Kleinbaum, D.G. (1994). Important Special Cases of the Logistic Model. In: Logistic Regression. Statistics in the Health sciences. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4108-7_2
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DOI: https://doi.org/10.1007/978-1-4757-4108-7_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-4110-0
Online ISBN: 978-1-4757-4108-7
eBook Packages: Springer Book Archive