436.Can Advanced SAS Programming Detect and Fix Errors in Clinical Trial Monitoring Data While Improving Data Quality?
Cleaning, Validating, and Optimizing Clinical Trial Data Using Powerful SAS Programming Techniques -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- HERE IN THIS PROJECT WE USED THESE SAS STATEMENTS —DATA | SET | INPUT | DATALINES | IF-THEN-ELSE | MISSING | BY | OUTPUT | LENGTH | LABEL | PROC SORT | NODUPKEY | PROC MEANS | PROC FREQ | PROC SQL | PROC REPORT | PROC SGPLOT | PROC COMPARE | PROC TRANSPOSE | PROC DATASETS | PROC APPEND | MERGE | RUN | %MACRO | %MEND | CHARACTER FUNCTIONS | NUMERIC FUNCTIONS -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Table of Contents Introduction Business Context Dataset Design Raw Dataset Creation...