Abstract
Frequently, primary interest in a table is centered on one factor which constitutes a response (dependent) variable. The other factors in the table are only of interest for their ability to help explain the response variable. Special kinds of models have been developed to handle these situations. In particular, rather than modeling log expected cell counts or log probabilities (as in log-linear models), when there is a response variable, various log odds related to the response variable are modeled.
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© 1990 Springer Science+Business Media New York
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Christensen, R. (1990). Response Factors and Logistic Discrimination. In: Log-Linear Models. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-4111-7_7
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DOI: https://doi.org/10.1007/978-1-4757-4111-7_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4757-4113-1
Online ISBN: 978-1-4757-4111-7
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