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34 papers and 8 presentations; 40 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Data Step Your Workflow and Macro Your Way to Automation: Importing Thousands of Excel Reports That Aren't Datasets Richard Rivera,
Humberto Cisneros		 source 16
PharmaSUG CN 2026 An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub Zhiping Yan source 28
PharmaSUG 2026 Leveraging LLMs in Data Science Web Applications: Beyond the Chat Interface Tyler Rowsell,
Nandini Thampi,
Dishank Jani,
Hao Xu		 source 18
PHUSE US 2025 Leveraging Vector Databases to Enhance AI Applications in Pharmaceutical Research Angu Sundaresh Krishna Kumar,
Ramanathan Srinivasan		 source
presentation source		 11
PHUSE EU 2024 Automating Real-World Data Analysis Using R Packages and Shiny: A Three-Stage Workflow Stavros Oikonomou,
Louise Raiteri		 source
presentation source		 8
PHUSE EU 2024 Validation and Open-Sourcing: Can We Tame the Two Headed Beast? Ben Barnaby-Pass source
presentation source		 4
PharmaSUG 2024 PHUSE Safety Analytics Working Group - Overview and Deliverables Update Nancy Brucken,
Mary Nilsson,
Greg Ball		 source 5
PHUSE EU 2023 Innovating the Leadership Toolkit Through Design Thinking [presentation] Marten Krijgsman,
James McDermott		 source 65
PharmaSUG 2023 PHUSE Safety Analytics Working Group - Overview and Deliverables Update Nancy Brucken,
Clio Wu,
Mary Nilsson,
Greg Ball		 source 5
PHUSE US 2023 Handling Multiple Adaptations in One Clinical Trial Parvee Kumar,
Shrutimita Pokhariyal		 source
presentation source		 6
PharmaSUG 2022 An Expanded Set of SAS Macros for Calculating Confidence Limits and P-values Under Simon's Two-Stage Design Accounting for Actual and Planned Sample Sizes Mikhail Melikov,
Alex Karanevich		 source 8
PHUSE US 2022 Implementation of Real-world Structured/ Unstructured Clinical Data in Real-world Evidence Trials (RWEs) for Regulatory Submissions [presentation] Ravi Mokkarala,
Yan Shen		 source 12
PharmaSUG 2021 Bookdown and Blogdown: Deep dive of the R packages and components needed to create documentation and websites. Benjamin Straub source 10
PharmaSUG 2021 Bookdown and Blogdown: Using R packages to document and communicate new processes to Clinical Programming Benjamin Straub source 11
PHUSE EU 2019 The Importance of Sleep and How Best to Measure It [presentation] Neil Stanley source 122
PharmaSUG 2019 Making the Days Count: Counting Distinct Days in Overlapping or Disjoint Date Intervals Noory Y. Kim source 12
SGF 2019 Machine Learning for Effective Surveillance with SAS Adaptive Learning and Intelligent Agent System Rory MacKenzie source 14
PHUSE US 2018 Cue the Word - QC - All You Need to Know! Subha Jamburajan,
Nancy Haeusser		 source
presentation source		 6
PHUSE US 2018 Planning and Executing a Two-Stage Adaptive Design with Interim Analysis [poster] Katy Jaffee source 1
PharmaSUG 2017 ADaM Grouping: Groups, Categories, and Criteria. Which Way Should I Go? Jack Shostak source 12
PHUSE EU 2016 A Tool to Automate TFL Bundling Mark Crangle source
presentation source		 15
MWSUG 2016 Frequentist and Bayesian Interim Analysis in Clinical Trials: Group Sequential Testing and Posterior Predictive Probability Monitoring Using SAS Kechen Zhao 14
PharmaSUG 2016 Empowering Users By Creating Data Visualization Applications In R/Shiny Sudhir Singh,
Brian Munneke,
Amulya R. Bista,
Jeff Cai		 source 8
SGF 2016 A Multistage Modeling Strategy for Hierarchical Demand Forecasting Pu Wang source 11
SGF 2016 Credit Card Interest and Transactional Income Prediction with an Account-Level Transition Panel Data Model Using SAS/STAT and SAS/ETS Software Denys Osipenko source 20
PharmaSUG 2015 Analysis Methods for a Sequential Parallel Comparison Design (SPCD) Harry Haber,
James Zuazo,
Linda LaMoreaux		 source 11
SGF 2015 Strengthening Diverse Retail Business Processes with Forecasting: Practical Application of Forecasting Across the Retail Enterprise Alex Chien,
Elizabeth Cubbage,
Wanda Shive		 source 21
SGF 2012 Building an Optimal Execution Plan for Liquidity Management Using SAS Wei Chen,
Liping Cai,
Jimmy Skoglund		 source 8
PHUSE EU 2010 The Innovative Medicines Initiative Knowledge Management [presentation] Ann Marie Martin source 50
SGF 2009 %QLS SAS Macro: A SAS Macro for Analysis of Longitudinal Data Using Quasi-Least Squares Hanjoo Kim,
Justine Shults		 source 12
PharmaSUG 2008 Managing The Change And Growth Of A Metadata-Based System Jeffrey M. Abolafia,
Frank C. DiIorio		 11
SGF 2008 Managing The Change And Growth Of A Metadata-Based System Jeffrey M. Abolafia,
Frank C. DiIorio		 source 11
SESUG 2004 1 Matching SAS Data Sets: If at First You Don't Succeed, Match, Match Again Imelda C. Go source 10
SEUGI 2002 An Introduction to SAS IT Management Solutions [presentation] Richard Seery source 20
SEUGI 2002 Proving the value of IT on the bottom line [presentation] Arne Lofgren source 24
SEUGI 2002 The Power of Enterprise Intelligence [presentation] Chris M. Pieper source 32
WUSS 1996 Warehouse Now! The Legacy Uncovered Jay A. Jaffe source 6
SEUGI 1996 Optimising Access to DB2 from SAS Simon Pickles source 8
SUGI 1996 Warehouse NOW! Blasting through to Legacy Data with (Almost) No Programming Jay A. Jaffe source
SUGI 1994 Using the EXPLAIN Feature to Improve DB2 Query Performance Frank Soloman source 6
SUGI 1993 Designing What IS Really Asked For: Volleyball Tournaments and Nonorthogonally Blocked, Split-Plot Fractional Factorials Diccon R. E. Bancroft,
William D. Kahn		 source 7
SUGI 1991 A Procedure for Deciding Which Treatments to Accept in a Screening Study Involving Pseudo-Bernoulli Data Ralph A. DeMasi,
Dana Quade		 source 7

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