Hi I´m new to SAS and statistical analyses. I hope I´m posting in the right forum. I´m trying to perform a logistic regression on my data. My dataset contains patients with a chronic disease and a controlgroup. They are pooled in no disease=1, light disease=2 and severe disease=3 (90 patients and 250 controls, matched by age groups). I want to investige the relation to impotence, impotent=1, not impotent=2 My statement is as follows: proc logistic data = controlsandpatients; class disease (ref = "1") / param=ref ; model impotent (event = "1") = disease / lackfit ; run; I get a quasi-complete separation problem, The maximum likelihood estimate may not exist. I´ve tried to do an exact test, but that doesen´t solve the problem. Is this the right way to analyse this or should i use PROC FREQ? I hope you can help me Best regards Maria
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