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.)
of data contains more than one observation. Input of a variable as characters rather than numbers requires an accompanying $ label in the INPUT statement. (But, of course, if you are already a SAS user, you know this and much more!) Chapter 1: Introduction With PROC FREQ for a 1 2 table of counts of successes and failures for a bi-
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