A Tutorial on Interaction

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Causal Interaction in Factorial Experiments: Application to Conjoint Analysis (2018, positive): “= Our article builds on the causal inference and experimental design literatures that are concerned about interaction e ff ects (see, e.g., Cox 1984; Jaccard and Turrisi 2003; de González and Cox 2007; VanderWeele and Knol 2014).”
Independent effects of host and environment on the diversity of wood‐inhabiting fungi (2018, methodology): “Note that we tested for interactions independent of the significance of main effects as significant factorial interactions can be meaningful without overall significant effects of the individual factors (“crossover interactions,” e.g. VanderWeele & Knol, 2014).”
Disparities at the intersection of marginalized groups (2016, methodology): “, [10 %) the model can be fit using a log-link, and standard errors for either model can be obtained using the multivariate delta method [40, 41] or the non-parametric bootstrap.”