Thank you for the post entitled “Proc Logistics gone CRAZY!”  This post noted that Proc GLIMMIX correctly identifies x1-x5 as insignificant in the following example:   data temp; input Y N; cards; 97870      270000 12890      55000 120071    313000 43446      150000 1405102   1903000 125402     254000 79192       109000 14087       29000 10714       9000 983775     1587000 316543     654000 8592        29000 76061      130000 217492     501000 132423     354000 29163      127000 57013      161000 82747      192000 101778     344000 44258      77000 ; run;   data temp; call streaminit(123); set temp; x1=1-rand('BETA',3,0.1); x2=rand('CAUCHY'); x3=rand('CHISQ',22); x4=rand('ERLANG', 7); x5=rand('EXPO'); x6=rand('F',12,322); trial=_n_; run;   proc glimmix data=temp method=laplace; class trial; model y/n=x1 x2 x3 x4 x5/solution chisq; random intercept/subject=trial; run;       My question is: Why are the df for x1-x5 all zero?  It seems disconcerting to have zero df, but should it (be disconcerting)?    P.S. I'm using SAS 9.4 TS Level 1M3. ... View more

What do you look for in the output of Proc Corresp in order to learn which, if any, associations exist between the rows & columns of a contingency table?  Specific instructions illustrated on the Getting Started Example (on doctorates in the sciences) would be appreciated! ... View more