PharmaSUG2018paper·China·DM - Data Validation & Management
Leveraging Metadata when Mapping to CDISC Standards with SAS® Machine Learning DM-05 Beijing
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PharmaSUG2018paper·China·DM - Data Validation & Management
How to do data validation plan autogeneration in clinical trial DM-22 Beijing
PharmaSUG2018paper·China·DM - Data Validation & Management
Decision making confidence: the way to make decision by Process Data with BPMN in SAS® LSAF DM-47 Beijing
PharmaSUG2018paper·China·DM - Data Validation & Management
Best Practices for E2E DB build process and Efficiency on CDASH to SDTM data DM-73 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies DV-04 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Create Cupid Arrow into Two Love Hearts Image Using SAS PROC TEMPLATE --- For the Valentine’s Day DV-16 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Draw statement, the third hand of GTL(Graph Template Language) DV-17 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Pay Less but Get More, Analyze Medicare Claims Data using SAS® Episode Analytics DV-19 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Advanced Visualization using TIBCO Spotfire® and SAS® DV-25 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Using the ODS GRAPHICS® to Create Patients Enrollment Graphs DV-34 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Efficient Graphing of Basic Data Structure - Let Data Decide Scale of Y-Axis for Themselves DV-46 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Advanced Clinical Graphs using Axis Tables DV-51 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Multi-Arm CONSORT Diagrams with SAS DV-52 Beijing
PharmaSUG2018paper·China·DV - Data Visualization & Graphics
Utilize Dummy Variables/Datasets in Graph Generation DV-56 Beijing
PharmaSUG2018paper·US·Data Standards
Introducing Dynamic Data Quality Control Methods: Abstracting Data Validation through External Data DS04
PharmaSUG2018paper·US·Data Standards
Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation DS05