We could create a classification table in two ways: 1. Using proc logistic with ctable pprob=xxx Example: proc logistic desc data=mmse ; model fn= lhippoc lmidtemp  eicv c_age_a c_age_b ss/ ctable pprob=0.32; run; 2. Using output and manipulating with data: proc logistic desc data=mmse ; model fn= lhippoc lmidtemp  eicv c_age_a c_age_b ss/ ctable pprob=0.32; output out=ci_with_outl p=rsk; run; data ci_with_outl; set ci_with_outl; if rsk >=0.32 then pos=1; else pos=0; run; proc sort; by descending pos descending fn; proc freq order=data; table pos*fn; run; The problem is following. I have received two different classification table, with different numbers of true/faux positives and negatives. The question is: what is an algorithm of calculation of true/faux positives and negatives in proc logistic ctable? ... View more