Interactions and confounder testing in logistic regression are essential for understanding how different variables influence the outcome of interest. what is the procedure of Interactions and cofounder testing in logistic regression?
The objective of this study is to assess the effectiveness of testing interactions in logistic regression.
The objective is to identify interactions and determine which variables might interact. This is achieved by including interaction terms in the model, such as X1×X2X1×X2. The model is then evaluated for its significance.
In the case of testing confounders, the objective is to identify variables affecting both the predictor and the outcome.
When x1 and x2 affect y, linearity is used
y =a0 + a1 * x1 + a2 * x2 ，
When considering the mutual influence between x1 and x2, use
y =a0 + a1 * x1 + a2 * x2 + a3 * x1* x2 。
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