Fixed effects refer to a statistical approach used in models where the individual effect of each subject is assumed to be constant across observations. This method is particularly useful in controlling for unobserved variables that do not change over time, thereby isolating the impact of other variables in a two-way ANOVA setting. Fixed effects help to eliminate bias that may arise from omitted variable issues when analyzing data with repeated measures.
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