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data mapping

15 papers and 2 presentations; 16 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE US 2026 From Automation to Audit-Readiness-AI's Growing Role in Statistical Programming Manoj Kumar Maripally source
presentation source
4
PHUSE US 2025 Can AI/ML Drive Data Analysis and Data Mapping in Clinical Trials? Philip Ross,
Revvity Signals
source
presentation source
11
MWSUG 2024 Create Report with SAS Visual Analytics to Finish Your SAS Story [presentation] Shinya Kodama source 25
PHUSE EU 2024 Leveraging 'Ensemble' Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission Venu Mallarapu source
presentation source
10
PharmaSUG CN 2024 Programming Activities of Conducting Data Masking in Open-Label Study Xinyun Gao source 6
PHUSE US 2024 The Data Review Model - Recognising the Benefits of a Single Source of Truth Model for Data Review Priyank Patel source
presentation source
8
PHUSE EU 2018 AI-powered Xbiom 3.1 Smart Curation & Transformation of Data [presentation] Kurien Abraham,
Nicolas Philippe
source 12
PHUSE EU 2018 Data Mapping using Machine Learning Daniel Choi source
poster source
3
SGF 2018 Data Visualization from SAS to Google Maps on Microsoft SharePoint Xiaogang Tang source 13
SGF 2018 Enable Personal Data Governance for Sustainable Compliance Vincent Rejany source 24
SGF 2018 There's No Reason to Hide! Discovering the Benefits of Using Hidden Columns in SAS Visual Analytics Michael Drutar source 12
PharmaSUG CN 2015 Generic Macros for Data Mapping Qian Zhao,
John Wang,
Ruofei Hao
9
PharmaSUG 2015 Generic Macros for Data Mapping Qian Zhao,
Jun (John) Wang,
Ruofei Hao
source 9
SESUG 2012 SAS Programming tips and techniques for Data Mapping Sheetal Nisal source 7
PharmaSUG 2011 Ensuring Consistent Data Mapping Across SDTM-based Studies - a Data Warehouse Approach Annie S. Guo source 12
SGF 2008 Practical Methods for Creating CDISC SDTM Data Sets from Existing Data Robert W. Graebner source 11
PharmaSUG 2007 Strategies and Practical Considerations for Creating CDISC SDTM Domain Data Sets from Existing CDM Data Sets Robert W. Graebner 12

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