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Coefficients change when variables correlated with the predictors enter the model. Yoru results indicate that the interaction is not correlated with the predictors conditional on the other variables in the model. This would be especially plausible if the terms in the interaction were centered at their means. It doesn't really indicate anything statistically ...


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If you already have a valid* logistic multiple regression model that includes confounders, there might not be much sense in trying to evaluate a numeric value of confounding magnitude. As the source you cite states under the heading "Summary of Control of Confounding," multiple regression analysis itself "provide[s] a way of adjusting for confounding in the ...


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The concept of resolution is applied to fractional factorial experiments. Following the excellent Statistics for Experimenters: Design, Innovation, and Discovery, 2nd Edition, for a half-design (that is, using one half of a full facorial deign), the resolution is the length (number of letters in) its generating relation. For quarter-design, with two words in ...


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