PharmaSUG2022paper·US·Real World Evidence and Big DataRWD (OMOP) to SDTM (CDISC): A primer for your ETL journey RW-160See metadata
PharmaSUG2022paper·US·Real World Evidence and Big DataGenerating Real World Evidence On The Likelihood Of Metastatic Cancer In Patients Through Machine Learning In Observational Research: Insights For Prevention RW-179See metadata
PharmaSUG2022paper·US·Real World Evidence and Big DataIntroduction to Synthetic Control Arm RW-192See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsEstimating Differences in Probabilities (Marginal Effects) with Confidence Interval SA-003See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsA SAS macro wrapper for an efficient Deming regression algorithm via PROC IML: The Wicklin method SA-004See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsThe Emerging Use of Automation to Address the Challenge of Cross-Table Consistency Checking of Output Used in the Reporting of Clinical Trial Data SA-009See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsValidation of Statistical Outputs Using Automation SA-011See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsDerivation of Efficacy Endpoints by iRECIST Criteria: A Practical Approach SA-015See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsTwo Methods to Collapse Two Treatment Groups into One Group SA-090See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsHow RANK are your deciles? Using PROC RANK and PROC MEANS to create deciles based on observations and numeric values. SA-104See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsWin Ratio Simulation For Power Calculation Made Easy SA-118See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsAn Expanded Set of SAS Macros for Calculating Confidence Limits and P-values Under Simon’s Two-Stage Design Accounting for Actual and Planned Sample Sizes SA-123See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsAnalysis of sample size calculations in clinical trial – errors, pitfalls and conclusions SA-142See metadata
PharmaSUG2022paper·US·Statistics and AnalyticsSimple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT® Software SA-149See metadata
PharmaSUG2022paper·US·Strategic ImplementationNew Digital Trends and Technologies in Clinical Trials and Clinical Data Management SI-006See metadata
PharmaSUG2022paper·US·Strategic ImplementationApplying Agile Methodology to Statistical Programming SI-024See metadata
PharmaSUG2022paper·US·Strategic ImplementationGetting a Handle on All of Your SAS® 9.4 Usage SI-028See metadata
PharmaSUG2022paper·US·Strategic ImplementationLessons learned while switching over to SAS Studio from SAS Desktop. SI-042See metadata
PharmaSUG2022paper·US·Strategic ImplementationEnterprise-level Transition from SAS to Open-source Programming for the whole department SI-044See metadata