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proc genmod data= ;

class ;

model y = x / type3 ;

repeated subject= /  ;

lsmeans x / diff=control ('ref') cl adjust=Dunnett(or tukey);


Parameters estimated with maximum likelihood methods

Repeated statement: specifies the covariance structure of multivariate responses and iterative fitting algorithm for GEE model fitting. 

  • Subject: Responses from different subjects are assumed to be statistically independent, and responses within subjects are assumed to be correlated. A subject-effect must be specified, and variables used in defining the subject-effect must be listed in the CLASS statement. The input data set does not need to be sorted by subject (see the SORTED option). 

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