A.1 SAS EXAMPLES

SAS EXAMPLESSAS is general-purpose software for a wide variety of statistical analyses. The mainprocedures (PROCs) for categorical data analyses are FREQ, GENMOD, LOGISTIC,NLMIXED, GLIMMIX, and CATMOD. PROC FREQ performs basic analyses fortwo-way and three-way contingency tables. PROC GENMOD fits generalized linearmodels using ML or Bayesian methods, cumulative link models for ordinal responses,zero-inflated Poisson regression models for count data, and GEE analyses for marginalmodels. PROC LOGISTIC gives ML fitting of binary response models, cumulative linkmodels for ordinal responses, and baseline-category logit models for nominal responses.(PROC SURVEYLOGISTIC fits binary and multi-category regression models to sur-vey data by incorporating the sample design into the analysis and using the method ofpseudo ML.)

models for ordinal responses, and baseline-category logit models for nominal responses. ... loglinear models discussed in Chapters 9-10), as shown. Its RESIDUALS option pro-vides cell residuals. The output labeled \Std Pearson Residual" is the standardized residual.

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