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A situation where the effect of an explanatory variable may depend on the value of another explanatory variable.

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sufficient power to detect an interaction effect. The model would be as follows: mod1 <- lmer(outcome ~ a*b+ (1 | id), data). If I run a powerSim on the interaction given the current data (without … changing effect sizes), the power is ~ 66% using the following: powerSim(mod1, fixed(“a:b”, "lr"), nsim=100) And is similar if I were to test the interaction using fcompare (to the main effects …
asked May 20 by MMed