Would you be able to tell me if it is totally unnecessary to use proc surveylogistic (for missing values) unless you are using survey data? ... View more

Can't I just use this solution?   https://blogs.sas.com/content/iml/2017/01/09/ods-output-any-statistic.html   Use ODS TRACE ON (or the SAS documentation) to find the name of the ODS table that contains the statistic that you want. Use the ODS OUTPUT statement to specify the table name and a data set name. The syntax is ODS OUTPUT TableName=DataSetName. Then run the procedure to generate the table. Read the data set to obtain the value of the statistic. I know that proc surveylogistic does many things but I think in my context, all I need really is to have some way to store the parameter estimates so that they can be read in the final step of multiple imputation (by proc mianalyze, which I have)     ... View more

I'm using a software called WPS that does not have access to this..at least not yet. ... View more

Hi Paige,   I am following the procedures in a book called 'Multiple Imputation of missing data using SAS'. The first requires use of proc mi (which I have access to). Here is an example:   proc mi nimpute=3 data=c7_ex1 seed=55 out=c7_ex1_imp;  class racecat gender edcat selfrhealth diabetes arthritis stratum_secu;  fcs plots=trace(mean(bodywgt)) nbiter=20 logistic (edcat diabetes arthritis)    discrim(racecat=gender edcat selfrhealth diabetes arthritis    /classeffect=include) regression (bodywgt);  var stratum_secu kwgtr kage gender racecat edcat diabetes arthritis bodywgt    selfrhealth; run;   The second step however requires use of proc surveylogistic which I don't have access to. To do this aspect:   proc surveylogistic data=c7_ex1_imp;  weight kwgtr; strata stratum; cluster secu;  by _imputation_;  class racecat gender edcat selfrhealth / param=ref;  model diabetes (event='1')=gender racecat selfrhealth bodywgt;  ods output parameterestimates=c7_ex1_est; run; proc print data=c7_ex1_est; run ;   The final step requires proc mianalyze which I have:   proc mianalyze parms(classvar=classval)=c7_ex1_est edf=56;  class racecat gender selfrhealth;  modeleffects intercept gender racecat selfrhealth bodywgt; run; ... View more

Yes, I used proc mi to impute based on all the guidelines. But then couldn't do the second step. ... View more

I did just the first step of the three step imputation process (which did fill in the values)..and did perfectly well when I fit the train data to the validation. (a bit over 80% accuracy)...so not sure..are the three steps always necessary? ... View more

I want to create/run a new model but how do i do that using proc logistic without the data set (test) having a response variable? You can actually create a model without a response variable?   sorry if I am misunderstanding you. ... View more

I'm still a bit confused on how I would fit a model WITHOUT a response variable (the test data does not have it). I need to score it but I can't score it if I can't create a model from the test data set. ... View more

I actually looked at that link for an example as I was working on the code. So you are saying, in that above example of code I showed, since I am not re-fitting, I am producing an accuracy for the validation data set and it is stored/within the valacc data set? ... View more

So what would be the code for making a prediction ? ... View more

Isn't scoring and accuracy the same thing really? (ie when you score a validation set, isn't that predicting an accuracy? It just happens to be an accuracy on actual examples it was constructed on..where for test...the scoring is accuracy on unseen data?     ... View more

Here is what I have:   proc logistic data = traina outmodel=model1; class Gender Married Self_Employed Property Education N_Dependents (ref='1')/ param = ref; model Lo_Status(event='1') = Credit_History Education N_Dependents Self_Employed L_Amount_Term Gender Married Property L_Amount Applicant Co_Applicant; run; proc logistic inmodel=model1; score data=valid out=validacc fitstat; run;   So how would I now predict accuracy for test set? (as mentioned, my response variable is not in the test data set so technically it is not the same model?) ... View more