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Sunil Kumar Gupta

96 papers; 68 titles; 9 coauthors.

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Conference × Year × Title × Co-authors Extras Pages
PharmaSUG 2026 Ready for Next Level SDTMs and ADaMs Compliance with End-to-End Processing? Tomás Sabat Stofsel source 6
PHUSE US 2026 Ready for Next-Level SDTM and ADaM Compliance with End-to-End Processing? source
presentation source		 4
WUSS 2025 R Made Easier for SAS Programmers source 4
WUSS 2025 Reach for R Low Hanging Fruit for Faster Results source 4
PharmaSUG 2025 Does SDTM Validation Really Require Double Programming? Tomás Sabat Stofsel source 5
PharmaSUG 2025 Reach for R Low Hanging Fruit for Faster Results source 4
PHUSE US 2024 Effective Workflow Process: Rapid SDTMs and Compliance Dashboards Harinarayan Gopichandra source
poster source		 5
PHUSE US 2024 R-Guru Resource Hub for Rapid R Learning source
presentation source		 8
PharmaSUG 2023 Better CDISC Standards with Metadata Programming Abhishek Dabral source 14
PHUSE US 2023 EDC Raw Data to SDTM Curation, Mapping and Automation with XBiom Tool Rahul Madhavan source
presentation source		 7
PharmaSUG 2022 Monitoring SDTM Compliance in Data Transfers from CROs source 7
PharmaSUG 2020 Creating SDTMs and ADaMs CodeList Lookup Tables source 8
PHUSE US 2020 Leveraging Metadata for SDTM QC Automation source
presentation source		 5
PHUSE US 2018 Fuzzy Joins with Proc SQL for Better Data Utilization source
presentation source		 2
SGF 2017 Something for Nothing? Adding Flag Variables Using Group Descriptive Statistics and PROC SQL source 8
SGF 2015 Something for Nothing? Adding Group Descriptive Statistics Using SAS PROC SQL Subqueries II source 10
SGF 2013 Ready to Become Really Productive Using PROC SQL? source 20
SGF 2013 SAS Enterprise Guide Best of Both Worlds - Is it Right for You? source 9
SGF 2013 Something for Nothing? Adding Group Descriptive Statistics Using PROC SQL Subqueries source 8
WUSS 2012 SAS Enterprise Guide Best of Both Worlds - Is it Right for You? source 9
PharmaSUG 2012 Ready to Become Really Productive Using PROC SQL? source 20
PharmaSUG 2012 SAS Enterprise Guide Best of Both Worlds - Is it Right for You? source 9
SESUG 2011 Ready to Become Really Productive Using PROC SQL? source 19
WUSS 2011 Ready to Become Really Productive Using PROC SQL? source 19
NESUG 2011 Ready to Become Really Productive Using PROC SQL? 19
SGF 2011 Ready to Become Really Productive Using PROC SQL? source 18
WUSS 2010 Ready To Really Become Productive Using PROC SQL? source 18
SGF 2010 Preventive Reporting Is Better with a Multi-label Format Deepak G. Asrani source 7
SGF 2009 Practice Makes Perfect: Training and Performing in the Pharmaceutical Industry source 10
NESUG 2008 Breakthrough Improvements through Reliable Modern Testing using SAS and JMP 14
NESUG 2008 Clinical-Data Acceptance Testing Procedure 15
NESUG 2008 Competing with Analytics: The Case of a College Bookstore 14
NESUG 2008 SAS ODS Technology for Today's Decision Makers 16
PharmaSUG 2008 Clinical-Data Acceptance Testing Procedure 15
PharmaSUG 2008 Facilitate Statistical Analysis with Automatic Collapsing of Small Size Strata Linfeng Xu,
Thousand Oaks		 12
PharmaSUG 2008 SAS ODS Technology for Today's Decision Makers Thousand Oaks 15
SGF 2008 Clinical-Data Acceptance Testing Procedure source 15
SGF 2008 SAS ODS Technology for Today's Decision Makers source 15
WUSS 2007 SAS ODS Technology for Today's Decision Makers source 15
WUSS 2007 WHERE vs. IF Statements: Examples in Usage and Differences source 13
PharmaSUG 2007 Saving QC Time for Production Tables Linfeng Xu 10
SGF 2007 WHERE vs. IF Statements-Knowing the Difference in How and When to Apply source 12
WUSS 2006 Enterprise Guide for Business Analysts source 10
WUSS 2006 WHERE vs. IF Statements: Examples in Usage and Differences source 11
SUGI 2006 WHERE vs. IF Statements-Knowing the Difference in How and When to Apply source 10
WUSS 2005 Enterprise Guide for Business Analysts source 13
WUSS 2005 WHERE vs. IF Statements-Knowing the Difference in How and When to Apply source 10
WUSS 2005 WHERE vs. IF Statements: Examples in Usage and Differences source 10
SUGI 2005 An Alternative Method of Transposing Data without the TRANSPOSE Procedure source 6
SUGI 2005 SAS ODS Technology for Today's Decision Makers source 14
WUSS 2004 Analysis and Reporting Made Easier using Enterprise Guide source 7
WUSS 2004 Quick Results with the Output Delivery System source 14
SUGI 2004 Using Styles and Templates to Customize SAS ODS Output source 17
WUSS 2003 Getting Familiar with SAS Version 8.2 and 9.0 Enhancements source 9
WUSS 2003 SAS's ODS Technology for Today's Decision Makers source 6
SCSUG 2003 Getting Familiar with SAS Version 8.2 and 9.0 Enhancements 9
WUSS 2002 Quick Results with the Output Delivery System source 9
WUSS 2002 Utilizing Clinical SAS Report Templates with ODS source 6
PharmaSUG 2002 Preparing the SAS Software Programming Environment for Regulatory Submission 10
PharmaSUG 2002 Using Styles and Templates to Customize SAS ODS Output 10
SUGI 2002 Quick Results with the Output Delivery System source 8
SUGI 2002 Using Styles and Templates to Customize SAS ODS Output source 10
WUSS 2001 Using Styles and Templates to Customize SAS ODS Output source 10
SUGI 2001 Preparing the SAS Software Programming Environment for Regulatory Submission source 9
SUGI 2001 Using Styles and Templates to Customize SAS ODS Output source 10
WUSS 2000 Preparing the SAS Software Programming Environment for Regulatory Submission source 5
WUSS 2000 Utilization of SAS Programs in the Business Environment Charles E. Shipp source 5
SUGI 2000 Preparing the SAS Software Programming Environment for Regulatory Submission source 5
SUGI 2000 Utilization of SAS Programs in the Business Environment Charles E. Shipp source 5
WUSS 1998 Preparing SAS Software Applications for the Year 2000 Kirk Paul Lafler,
Charles E. Shipp		 source 5
WUSS 1998 Querying the Data Warehouse with SQL SELECT Statement Kirk Paul Lafler,
Charles E. Shipp		 source 5
SUGI 1998 Preparing SAS Software Applications for the Year 2000 Kirk Paul Lafler,
Charles E. Shipp		 source 6
SCSUG 1997 Survival Strategies and Solutions for the New Millennium - Year 2000 Kirk Paul Lafler,
Charles E. Shipp		 6
WUSS 1997 Survival Strategies and Solutions for the new Millenium - Year 2000 Kirk Paul Lafler,
Charles E. Shipp		 source 6
WUSS 1997 Year 2000 Hex Storage Kirk Paul Lafler,
Charles E. Shipp		 source 3
WUSS 1997 Year 2000 Solutions Kirk Paul Lafler,
Charles E. Shipp		 source 2
NESUG 1997 Survival Strategies and Solutions for the New Millennium - Year 2000 Kirk Paul Lafler,
Charles E. Shipp		 6
MWSUG 1997 Survival Strategies and Solutions for the New Millennium - Year 2000 Kirk Paul Lafler,
Charles E. Shipp		 6
SESUG 1997 Survival Strategies and Solutions for the New Millennium - Year 2000 Kirk Paul Lafler,
Charles E. Shipp		 6
PharmaSUG 1997 An Alternative Method of Transposing Data without the TRANSPOSE Procedure 3
PharmaSUG 1997 Year 2000 Hex Storage Kirk Paul Lafler,
Charles E. Shipp		 3
PharmaSUG 1997 Year 2000 Solutions Kirk Paul Lafler,
Charles E. Shipp		 4
SUGI 1997 An Alternative Method of Transposing Data without the TRANSPOSE Procedure source 3
SUGI 1997 Designing Clinical SAS Service Request Forms source 3
SUGI 1997 Survival Strategies and Solutions for the New Millennium - Year 2000 Kirk Paul Lafler,
Charles E. Shipp		 source 5
SUGI 1997 Utilizing Clinical SAS Report Templates source 5
NESUG 1996 Solving Business Problems with SQL Procedure Kirk Paul Lafler 4
WUSS 1996 SAS Tools and Internet Charles E. Shipp,
Kirk Paul Lafler		 source 4
SUGI 1996 SAS Tools &Internet Charles E. Shipp,
Kirk Paul Lafler		 source 4
SUGI 1996 Solving Business Problems with the SOL Procedure Kirk Paul Lafler source 4
WUSS 1995 An Alternative Method of Transposing Data without the TRANSPOSE Procedure source 3
WUSS 1995 Designing Clinical SAS Service Request Forms source 3
WUSS 1995 Utilizing Clinical SAS Report Templates source 5
SESUG 1995 An Alternative Method of Transposing Data without the TRANSPOSE Procedure 3
SESUG 1995 Designing Clinical SAS Service Request Forms 3
SESUG 1995 Utilizing Clinical SAS Report Templates 5

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