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proc genmod data= ;
class ;
model y = x / dist= link= type3 ;
repeated subject= / corr= type= ;
lsmeans x / diff=control ('ref') cl adjust=Dunnett(or tukey);
run;
distribution | link function | note |
---|---|---|
normal | identity | continuous dependent variable, mean difference |
binomial | log | risk ratio from exponentiation of the parameter estimate |
binomial | logit | odds ratio |
poisson | log | risk ratio from exponentiation of the parameter estimate; used for robust error estimate with repeated subject statement |
Parameters estimated with maximum likelihood methods.
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