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. PROC NLMIXED gives ML fitting ofgeneralized linear mixed models, using adaptive Gauss Hermite quadrature.

Chapter 1: Introduction With PROC FREQ for a 1 2 table of counts of successes and failures for a bi-nomial variate, con dence limits for the binomial proportion include Agresti{Coull, ... use Poisson regression and the third model assumes a negative binomial distribution. Table 8 uses PROC GENMOD for the overdispersed teratology-study data of Ta-4.

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  Introduction, Regression, Poisson, Poisson regression

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