This SAS code manipulates a dataset named `rawdata` and creates...

August 29, 2025 at 05:39 PM

data Suspended; set rawdata; TVFC_Suspended = "Suspended"; if Follow_up_Due_Date > "&suspended"d then delete; if Follow_up_Complete_Date ne ("Overdue" "Pending")then delete; run;

This SAS code manipulates a dataset named rawdata and creates a new dataset named Suspended while applying some filtering and transformations. Here's a breakdown of what it does:

  1. Start data Step:

    • Creates a new dataset named Suspended.
  2. Read the Input Dataset:

    • Uses set rawdata; to read the contents of a dataset named rawdata.
  3. Create a New Variable:

    • Adds a new variable TVFC_Suspended and assigns it the string "Suspended" for all rows.
  4. Conditional Filtering 1:

    • Checks whether the variable Follow_up_Due_Date is greater than a macro variable &suspended (assumed to be provided earlier as a date value).
    • If Follow_up_Due_Date is greater than the value of &suspended, the row is deleted using the delete statement.
  5. Conditional Filtering 2:

    • For rows that survived the first condition, checks if Follow_up_Complete_Date is not equal to "Overdue" or "Pending".
    • If the condition is true (i.e., Follow_up_Complete_Date is not one of those values), the row is removed with another delete statement.
  6. End the data Step:

    • Generates the final dataset Suspended after applying the filters and transformations.

However, Issues/Inconsistencies in the Code:

  • There seems to be a syntax issue in the if Follow_up_Complete_Date condition: (ne ("Overdue" "Pending")). The correct syntax should use logical operators to check for the two values — for instance:
    if Follow_up_Complete_Date ne "Overdue" and Follow_up_Complete_Date ne "Pending" then delete;
    
  • Alternatively, to check against multiple values, you could use the not in operator:
    if Follow_up_Complete_Date not in ("Overdue", "Pending") then delete;
    

Summary:

The code filters rows from the rawdata dataset based on conditions for dates and values in the Follow_up_Complete_Date column and creates a new dataset named Suspended. It also adds a new variable, TVFC_Suspended, with the constant value "Suspended". However, the code has a syntax error that makes it non-executable until corrected.

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