Consider a logistic regression model with a linear predictor that includes an interaction term, say (mathbf{x}^{prime} boldsymbol{beta}=beta_{0}+beta_{1}
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Consider a logistic regression model with a linear predictor that includes an interaction term, say \(\mathbf{x}^{\prime} \boldsymbol{\beta}=\beta_{0}+\beta_{1} x_{1}+\beta_{2} x_{2}+\beta_{12} x_{1} x_{2}\). Derive an expression for the odds ratio for the regressor \(x_{1}\). Does this have the same interpretation as in the case where the linear predictor does not have the interaction term?
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Introduction To Linear Regression Analysis
ISBN: 9781119578727
6th Edition
Authors: Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
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