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In linear models and particularly in ANOVA, a contrast is a linear combination of parameters with coefficients summing up to zero. It is used to test the corresponding null hypothesis. Contrasts are especially often used with categorical predictors (factors) to make comparisons among the groups (categories). [See also tag 'categorical-encoding']

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Appropriate way to configure contrasts and interactions in GLM likelihood ratio test

We are using EdgeR's GLM functionality, and then using contrasts to look for differences between groups. … We are unclear on the most reasonable way to form powerful, informative contrasts that take into account interactions. …
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