Hello, I run a logistic regression in SAS with this code: proc logistic data = model3; class gender(param = ref ref='0')smoking(param = ref ref='0')_0SEC6 (param = ref ref='0'); model ACT5c (event = '1') = age gender smoking fev_con bmi re_norm PF_Norm EF_Norm sf_norm _0SEC6/ rsq lackfit; run; the p value in hosmer test is 0.655 But when i changed the event from 1 to 0 in this code: proc logistic data = model3; class gender(param = ref ref='0')smoking(param = ref ref='0')_0SEC6 (param = ref ref='0'); model ACT5c (event = '0') = age gender smoking fev_con bmi re_norm PF_Norm EF_Norm sf_norm _0SEC6/ rsq lackfit; run; the p value in hosmer test is 0.9 so how that come? it is same data and same code!!! Could you please help me in that. Thanks Owis ... View more

Hello, I am going to run an ordinal regression model. I have missing values for both categorical and continous variables. I know that i can use "proc mi" to handle the missing values, but what i should do with categorical variables? Thanks Owis ... View more