PLM Procedure

The PLM procedure performs postfitting inferences for model results that are stored by one of the following SAS/STAT procedures: GENMOD, GLIMMIX, GLM, LOGISTIC, MIXED, ORTHOREG, PHREG, SURVEYLOGISTIC, SURVEYPHREG, and SURVEYREG. These procedures now include the STORE statement, which produces item stores that can then be used as input for the PLM procedure.

PROC PLM can perform tasks such as testing hypotheses, computing confidence intervals, producing prediction plots, and scoring new data sets. This enables you to separate common postfitting inferences, such as testing for treatment differences and predicting new observations under a fitted model, from the process of model building and fitting. PROC PLM offers the most advanced postfitting inference techniques available in SAS/STAT software, including new techniques such as step-down multiplicity adjustments for p-values, F tests with order restrictions, analysis of means (ANOM), and sampling-based linear inference based on Bayes posterior estimates.

The PLM procedure supports the EFFECTPLOT, ESTIMATE, FILTER, LSMEANS, LSMESTIMATE, SCORE, SHOW, SLICE, TEST, and WHERE statements.