PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data Analytics
Federated Learning and Virtual Data Lake 03 North America · RTP, NC
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PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data Analytics
A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software 04 North America · RTP, NC
PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data Analytics
Clinical Tables with the Latest in Tplyr 05 North America · RTP, NC
PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data Analytics
CDISC Update: Enhancing Metadata, Documenting Relationships 06 North America · RTP, NC
PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data Analytics
CDISC Analysis Results Standard 07 North America · RTP, NC
PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data Analytics
An Expeditious Approach for Handling Pinnacle 21 Messages 08 North America · RTP, NC
PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data Analytics
Using Git with Your SAS Projects 09 North America · RTP, NC
PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data Analytics
SAS and Open Source Working Together 10 North America · RTP, NC
PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data Analytics
Technical Rejection Criteria for Study Data (TRC) and Beyond 11 North America · RTP, NC
SESUG2022·Development and Support
Application of Fuzzy Matching Techniques Using SAS� Software - A Panel Discussion 121
SESUG2022·Development and Support
Orchestrating and triggering SAS process execution from custom process control tables 123
SESUG2022·Development and Support
Reducing the space requirements of SAS� data sets without sacrificing any variables or observations 140
SESUG2022·Development and Support
Utility Macros to Check for Changes in Macro Variables, Options, or Formats in SAS� 165
SESUG2022·Industry Applications
Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets 127