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The CATMOD Procedure |
In contrast, log-linear model methods (as typified by the Bishop, Fienberg, Holland approach) do not make an a priori distinction between independent and dependent variables, although model specifications that allow for the distinction can be made. The emphasis of these methods is on model building, goodness-of-fit tests, and estimation of cell frequencies or probabilities for the underlying contingency table. With these methods, it is easy to test independence and generalized independence, but it is awkward to test for differences among probabilities, do repeated measurement analysis, and test for marginal homogeneity.
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