Transcription of A.1 SAS EXAMPLES
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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.) PROC CATMOD fits baseline-category logit models and can fit a varietyof other models using weighted least squares.
subject-level data. PROC FREQ can conduct Pearson and likelihood-ratio chi-squared tests of independence (CHISQ option), show its estimated expected frequencies (EX-PECTED), provide a wide assortment of measures of association and their standard errors (MEASURES), and provide ordinal statistic (3.16) with a \nonzero correlation" test (CMH1).
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