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What’s New in SAS/STAT 9.22

GLIMMIX Procedure

The SLICE statement enables you to perform inferences on model effects that consist entirely of classification variables. These effects must be higher-order effects of at least two classification variables. The STORE statement enables you to save the context and results of the statistical analysis for further processing with the PLM procedure. The CPSEUDO option in the OUTPUT statement changes the way in which marginal residuals are computed when model parameters are estimated by pseudo-likelihood methods.

You can now perform a joint test under one-sided restrictions with the LSMESTIMATE statement (Silvapulle and Sen 2004); for example, you can test ordered alternatives. The GLIMMIX procedure computes a simulation-based chi-bar-square statistic and produces a p-value for the constrained joint test.

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