PharmaSUG2014paper·US·Applications DevelopmentThe New Tradition: SAS® Clinical Data Integration AD17See metadata
PharmaSUG2014paper·US·Applications DevelopmentTips for Creating SAS®-Based Applications for Oracle Clinical AD19See metadata
PharmaSUG2014paper·US·Applications DevelopmentManaging bulk SAS job submissions with post execution analysis and notification AD20See metadata
PharmaSUG2014paper·US·Applications DevelopmentClinical Trial Data Integration: The Strategy, Benefits, and Logistics of Integrating Across a Compound AD21See metadata
PharmaSUG2014paper·US·Applications DevelopmentManaging the Organization of SAS® Format and Macro Code Libraries in Complex Environments Including PC SAS, SAS® Enterprise Guide®, and UNIX SAS AD23See metadata
PharmaSUG2014paper·US·Applications DevelopmentValidating Analysis Data Set without Double Programming – An Alternative Way to Validate the Analysis Data Set AD26See metadata
PharmaSUG2014paper·US·Applications DevelopmentExpediting Access to Critical Pathology Data AD27See metadata
PharmaSUG2014paper·China·Applications DevelopmentFrom Coal Mining to Data Mining: Advancing Programming Management for Clinical Projects with Text Analytics AD-05 BeijingSee metadata
PharmaSUG2014paper·US·Beyond the BasicsIndexing: A powerful technique for improving efficiency BB01See metadata
PharmaSUG2014paper·US·Beyond the BasicsUnderstanding and Applying the Logic of the DOW-Loop BB02See metadata
PharmaSUG2014paper·US·Beyond the BasicsD is for Dynamic, putting Dynamic back into CDISC (A simple macro utilizing PROC SQL which auto-formats continuous variables for lab tables) BB04See metadata
PharmaSUG2014paper·US·Beyond the BasicsExpress Yourself! Regular Expressions vs SAS Text String Functions BB08See metadata