This SAS code is performing a set of operations to...

This SAS code is performing a set of operations to combine datasets and clean up data. Here's a step-by-step explanation of what the code does:

1. Combining Datasets:

   set TexasPEAR SAPEAR HoustonPEAR;
   

   • Combines (stacks) data from three separate datasets (TexasPEAR, SAPEAR, and HoustonPEAR) to create a new dataset named AllPEAR.

2. Processing a Date Variable:

   FollowupDueDate = input(Follow_up_Due_Date, mmddyy10.);
   

   • Converts the string variable Follow_up_Due_Date into a SAS date variable using the INPUT function, with the mmddyy10. format (e.g., transforming "10/23/2023" from text to a date).

   drop Follow_up_Due_Date;
   rename FollowupDueDate = Follow_up_Due_Date;
   

   • Drops the original Follow_up_Due_Date variable (the string version).
   • Renames the new date variable FollowupDueDate back to Follow_up_Due_Date.

   Format FollowupDueDate mmddyy10.;
   

   • Ensures the format of the FollowupDueDate (now renamed as Follow_up_Due_Date) is displayed in the mm/dd/yyyy style.

3. Filtering Out Unwanted Records:

   if Provider_Pin = "" then delete;
   

   • Deletes rows where the Provider_Pin variable is empty (i.e., blank or missing).

   if visit_status = "Completed" then delete;
   if visit_status = "Completed - Unresolved" then delete;
   

   • Deletes rows where visit_status is either "Completed" or "Completed - Unresolved".

   if current_provider_status = "Unenrolled" then delete;
   

   • Deletes rows where current_provider_status is "Unenrolled".

4. Final Result:

   • The output dataset (AllPEAR) is a combination of the three initial datasets, with:
     • An updated and correctly formatted Follow_up_Due_Date variable.
     • Rows filtered to exclude entries with certain conditions (e.g., blank Provider_Pin, specific visit_status values, or an "Unenrolled" current_provider_status).

In summary, this code combines three datasets, processes a date field, and removes rows that don't meet specific criteria.