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53 papers and 4 presentations; 51 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Smarter CRF Reviews: An Open-Source AI Tool for Automated Protocol-to-CRF Gap Analysis in Clinical Trials Raj Sharma source 9
PharmaSUG 2026 Chatting with Your Data, Wherever It Lives: Unlock Insights through Duck DB and Open File Formats Sundaresh Sankaran,
Mary Dolegowski		 source 15
PHUSE APAC 2026 Decoding NCI-CTCAE: Smarter Lab Grading Through Metadata and Automation Zulfat Kapadia source
presentation source		 9
PharmaSUG 2025 Advanced Programming with R: Leveraging Tidyverse and Admiral for ADaM Dataset Creation with a Comparison to SAS Joshua J. Cook,
Richann J. Watson		 source 20
PHUSE EU 2023 Optimising a (Supposedly) Reusable Program to Reduce the Need for Manual Changes Panteleo Nacci source
presentation source		 23
PHUSE EU 2022 GSK Diversity Paper: The Challenges We Faced with Real-world Data Harrison James,
Chris Leach		 source
presentation source		 43
PHUSE US 2021 Automation of a Web-based Metadata Repository for SAS Datasets with Selenium Technology [presentation] Eugene Tsykalov source
video		 14
SGF 2020 Introduction to SAS/ACCESS Interface to Google BigQuery Joel Odom source 9
PharmaSUG 2020 MKADRGM: A Macro to Transform Drug-Level SDTM Data into Traceable, Regimen-Level ADaM Data Sets Sara McCallum source 34
PHUSE US 2020 Get to the Bottom of Lab Toxicity Grading: Challenges and Implementation of CTCAE Version 5 Xiaoyin Zhong source
presentation source		 5
SGF 2019 Data Governance: Harder, Better, Faster, Stronger Vincent Rejany source 18
PHUSE EU 2018 Adjusting for Daylight Saving Times [presentation] Guido Wendland source 22
PHUSE EU 2018 Lessons Learned for Successful e-Study Data Submission to the PMDA towards the End of the Transitional Period Takashi Kitahara,
Ayako Noda		 source
presentation source		 12
PHUSE EU 2018 Use of HL7 FHIR as eSource to Pre-populate CDASH Case Report Forms Using a CDISC ODM API Samuel Hume,
Geoff Low		 source
presentation source		 12
PHUSE EU 2018 Your Date or Mine? Melanie O'Neill source
presentation source		 7
PHUSE US 2018 Use of HL7 FHIR as eSource to Pre-populate CDASH Case Report Forms Using a CDISC ODM API Samuel Hume,
Geoff Low		 source
presentation source		 12
SGF 2018 Introducing SAS Decision Manager 5.1 with Business Rules for SAS Viya Chris Upton source 10
SGF 2018 Leverage Custom Geographical Polygons in SAS Visual Analytics Murali Nori,
Falko Schulz		 source 19
PharmaSUG 2017 Creating Define-XML version 2 including Analysis Results Metadata with the SAS Clinical Standards Toolkit Lex Jansen source 31
PHUSE EU 2016 Constructing a Clinical Data Warehouse for Nutrition Studies [presentation] Paul Vervuren source 27
PHUSE EU 2016 SAS, Java & Excel: A Ménage á Trois Dana Vinzelberg source
presentation source		 8
PharmaSUG 2016 Creating Define-XML version 2 including Analysis Results Metadata with the SAS Clinical Standards Toolkit Lex Jansen source 29
SGF 2016 Getting More from the Singular Value Decomposition (SVD): Enhance Your Models with Document, Sentence, and Term Representations Russell Albright,
James A. Cox,
Ning Jin		 source 15
MWSUG 2015 Find your Way to Quick and Easy Table Lookups with FINDW Joshua M. Horstman 5
PHUSE EU 2015 Dataset-XML - A New CDISC Standard for Data Exchange Julie A. Maddox,
Lex Jansen		 source
presentation source		 16
PharmaSUG CN 2015 SAS Tools for Working with Dataset-XML files Lex Jansen 18
PharmaSUG 2015 Managing Custom Data Standards in SAS Clinical Data Integration Melissa R. Martinez source 17
PharmaSUG 2015 SAS Tools for Working with Dataset-XML files Lex Jansen source 18
SGF 2015 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
MWSUG 2014 Introduction to SAS Hash Objects Christopher W. Schacherer 26
PharmaSUG 2014 Creating Define-XML version 2 with the SAS Clinical Standards Toolkit 1.6 Lex Jansen source 33
SCSUG 2013 Best Practices in Enterprise Data Governance Scott Gidley source 9
SCSUG 2013 Introduction to SAS Hash Objects Christopher W. Schacherer source 26
PharmaSUG 2013 Leveraging SDTM Standards to Cut Datasets at Any Visit Anthony L. Feliu,
Stephen W. Lyons		 source 12
PharmaSUG 2013 Using the SAS Clinical Standards Toolkit 1.5 to Import CDISC ODM Files Lex Jansen source 28
SGF 2013 Best Practices in Enterprise Data Governance Nancy A. Rausch,
Scott Gidley		 source 9
NESUG 2012 Interesting Technical Mini-Bytes of Base SAS - From DATA Step to Macros Airaha Chelvakkanthan Manickam 13
PHUSE EU 2012 SAS Clinical Standards Toolkit 1.5 - How Do I Know My Metadata is Right? Gene Lightfoot source
presentation source		 14
PharmaSUG 2012 Interesting Technical Mini-Bytes of Base SAS - From DATA Step to Macros Airaha Chelvakkanthan Manickam source 13
SGF 2012 Applications of PROC GEOCODE and Incorporation of Census Block-Level Data John Havens-McColgan source 5
SGF 2012 Interesting Technical Mini-Bytes of Base SASFrom DATA Steps to Macros Airaha Chelvakkanthan Manickam source 13
PHUSE EU 2011 Comparing dataset metadata Jim Groeneveld source
presentation source		 8
NESUG 2011 Common Sense Tips and Clever Tricks for Programming with Extremely Large SAS Data Sets Kathy Hardis Fraeman 8
NESUG 2011 Using Macros to Compute US Health Insurance Coverage Estimates for Insertion into a Web-based Table Generator Michele M. Burlew,
Peter Graven,
Karen Turner,
Michel Boudreaux		 12
PHUSE EU 2010 APPEND, EXECUTE and MACRO Jim Groeneveld source
presentation source		 7
PHUSE EU 2010 Implementing, Managing and Validating a Clinical Standard Gene Lightfoot source
presentation source		 12
SESUG 2010 Analysis and Visual Review of Error Matrices in SAS Stat Studio Robert Seffrin source 10
SGF 2010 Managing Data Quality in Many Sectors: Healthcare, Tax, School, Environment Paola Leproni source 10
NESUG 2008 Common Sense Tips and Clever Tricks for Programming with Extremely Large SAS Data Sets Kathy Hardis Fraeman 7
WUSS 2007 Detecting Possible Anomalies in Large Data Tables: Methods and Concepts Thomas E. Billings source 7
SCSUG 2003 Indicators of Inpatient Quality in Texas Hospitals Sylvia Cook 9
SEUGI 2002 Financial Risk Management within the Generali Group: a structured approach [presentation] Paolo Pirona source 28
SEUGI 1996 Data Warehouse: design and implementation Paul Murray source 8
SEUGI 1996 The growing need for distributed data warehouse systems due to globalisation of business Ger Scherpens,
Sander Piet		 source 12
SUGI 1992 Automated Workload. Forecasting - A Large Complex SAS Application Lance Pedriana,
Fay Wong		 source 8
SEUGI 1990 Exploitation of MVS/ESA and Vector Processor Features Under MVS Jan Simark source 4
SUGI 1990 Planned ESA/378'"Exploitation by the SAS System under MVS Keefe Hayes source 4

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