Morning, We do not have much experience with PROC QLIM but needed to use it to get a Mills ratio. Our dependent variable has 2 values (0,1) and here is our code. proc qlim data= &indata. ; model MA_ENROLL = <list of variables> / discrete(d=normal); output out=in.prob_enroll_&indata. marginal mills prob xbeta; run; The results of this model are: We did the same using PROC Logistic -- for which we are very familiar. We got the same results for the dependent variable = 1. But got 1-p results for dependent variable = 0. And these results are more expected given the data. So it appears the the above table from QLIM (peach color cell) is the probability of the dependent variable being 0 for observations when the dependent variable is 0. And not the probability of the dependent variable being 1 for observations when the dependent variable is 0. Thanks in advance for help.
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