Sorry for the basic question but I am trying to figure out why data A has only 2 obs while data B has 4. Expecting A to have 4 obs. what is the logic for having only 2 obs ? /* A */
data a;
do i=1 to 4;
i+1;
output;
end;
run;
/* B */
%macro bb;
data b;
%do i=1 %to 4;
i+1;
output;
%end;
run;
%mend bb;
%bb;
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when use proc logistic procedure to set up default model in bank risk analysis, for the current customer, there are 4 kinds of results after application for the loan, accept, refuse , cancel or nouse. when set up model, to analysis if new customer will default or could approve their application of loan, we will use the current customer loan history. refused=1, accept=0 but how to deal with cancel and nouse, i think nouse looked as accepted, but for cancel, how to deal with it?
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Over the years I've seen plenty of discussion threads about "how do I get a start in Pharma programming?" This made me wonder, maybe it would be helpful to have a thread where actual Pharma programmers describe how they got their first SAS programming jobs in Pharma.
Perhaps touching on points like:
What was your first job title / role?
Were you working for a pharmaceutical company or CRO?
Were you an experienced SAS programmer before you started programming in Pharma?
How did you find out about the job opening (job posting, recruiter, conference networking...)
Did you complete any Pharma-specific training classes/certifications prior to your first job (e.g. CDISC training, or SAS certification for pharma programming)
And of course, feel free to share any tips for people looking for their first Pharma job, whether they are experienced SAS programmers or newbies. I've always heard it's notoriously difficult to get your first Pharma job.
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Hi,
I’m wondering if the IPW weights which are output after running proc causaltrt (method=AIPW) are stabilized weights?
In the user guide, I can’t seem to find an option to request stabilized weights, and after running this proc, the mean for my IPW is slightly greater than 1 (as there are a few observations with quite extreme IPW values).
Thank you in advance,
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