PHUSE2018·Connect·Industry Standards
Increase Quality and Reduce SDTM Development Time with a Test Study Data Simulator SI06 US · Raleigh
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PHUSE2018·Connect·Industry Standards
Diagnostics of Technical Errors in Define-XML File SI07 EU · Frankfurt
PHUSE2018·Connect·Industry Standards
Optimizing SDTM Specification Development with Auto-population SI07 US · Raleigh
PHUSE2018·Connect·Industry Standards
A Successful Meta-Data Repository (MDR): It's About Managing Relationships SI08 US · Raleigh
PHUSE2018·Connect·Industry Standards
Structured and Standardised Study Definition Drives Early Study Set-up for Added Business Benefits SI08 EU · Frankfurt
PHUSE2018·Connect·Industry Standards
Commissioning a MDR System: Next-generation of Standards implementation SI09 US · Raleigh
PHUSE2018·Connect·Industry Standards
From Machine-readable CDISC Standard Specifications to the e-Protocol SI09 EU · Frankfurt
PHUSE2018·Connect·Industry Standards
Implementation of a Metadata-based Approach to Statistical Planning, Analysis and Reporting SI10 EU · Frankfurt
PHUSE2018·Connect·Industry Standards
Using the TFL Workbench for Standards Governance SI11 US · Raleigh
PHUSE2018·Connect·Industry Standards
How to Prepare High Quality Metadata for Submission SI12 US · Raleigh
PHUSE2018·Connect·Industry Standards
APESS: A Unified Methodology for the Development and Review of Quantitative Analysis SOPs SI14 EU · Frankfurt
PHUSE2018·Connect·Industry Standards
A Proprietary CDASH/SDTM-hybrid Data Model to Expedite Clinical Data Review SI15 EU · Frankfurt
PHUSE2018·Connect·Industry Standards
ADaM Intermediate Dataset: How to Improve Your Analysis Traceability SI16 US · Raleigh