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normalization

103 papers and 9 presentations; 101 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 Beyond Today-s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact Sherrine Eid source 15
PharmaSUG 2026 Harmonizing History: A Framework for Deriving Line of Therapy in Complex Integrated Summaries. Bhargav Koduru,
Kavitha Guddam,
Santosh Reddy Lekkala		 source 15
PharmaSUG 2026 Practical Lessons in AI-Assisted Metadata Conversion: From Database Specs to EDC and SDTM - Successes, Pitfalls, and Practical Implementation Jianlin Li,
Andy Shen		 source 11
PharmaSUG 2026 Tips and Considerations for Preparing Health Data for Efficient and Accurate AI and LLM Modelling Louise S. Hadden source 5
PHUSE US 2026 Data Diaries Don't Lie: Stats That Spot ePRO Risks Steven A. Gilbert,
Nechama Katan		 source
presentation source		 12
PHUSE US 2026 Multi-Standard Submission - Process, Learnings and Recommendations for Best Practice Mukesh Garg source
presentation source		 8
PHUSE US 2026 Scalable Anonymisation for Complex Clinical Trial Data: A Sponsor-Vendor Perspective [presentation] Abby McDonell source 30
PHUSE US 2026 SpecToSAS: AI-Powered SAS Code Generation from Study Specs Gargee Vaidya,
Lluis Gimenez		 source
presentation source		 12
PHUSE US 2026 Submitting RWD: Where We Are and Where We Are Going Ingeborg Holt,
Sarah Ferko,
Jeffrey M. Abolafia		 source
presentation source		 24
PHUSE EU 2025 Enhancing Healthcare Intelligence: Advancing Clinical Information Extraction through Knowledge Graph Construction Maria Puri,
George Panagiotakis		 source
poster source		 11
PHUSE EU 2025 Large Language Models as Medical Writers: Challenges and Solutions Ioannis Reklos,
Alexandrina Lambova		 source
presentation source		 10
PHUSE EU 2025 Unlocking Healthcare Insights: Graph-Based Modelling and Analysis of Synthetic Patient Data George Panagiotakis,
Nikolaos Kountouris		 source
presentation source		 18
PHUSE US 2025 Data Transformation: Achieving Compliance with Irregular Data Reyes Eduardo Elizalde Duarte source
presentation source		 6
MWSUG 2024 Vaping Trends: Analyzing Patterns and Predictive Factors in Electronic Cigarette Use among American Youth Medha Haldar,
Carol Antony,
Rishanki Jain		 source 12
PHUSE EU 2024 Genomic Biomarkers: Development of a Pipeline for Distilling Patient Mutation Status Alexander Tchourbanov,
Karl Brand		 source
presentation source		 9
PharmaSUG 2024 MLNR or Machine Learning in R Chuck Kincaid source 23
PHUSE US 2023 Balance Between Humans and Machines - How NLP Helps Translate Text Specification to Code, and Vice Versa Hao (Harry) Chen,
Jaimin Patel		 source
presentation source		 9
PharmaSUG 2022 Clean Messy Clinical Data Using Python Abhinav Srivastva source 7
PHUSE US 2021 Scientific Listening: Content Analysis for Online Discussion of Bipolar Disorder [presentation] Bowen Lu source
video		 13
PharmaSUG 2020 Gradient Descent: Using SAS for Gradient Boosting Karen Walker source 11
PHUSE EU 2019 Laboratory Data: Issues with Myultiple Reference Ranges and Methods of Normalisation Jessica Hoegg,
Laura Marquis		 source
presentation source		 20
PharmaSUG 2019 Strategy to Evaluate the Quality of Clinical Data from CROs Charley Z. Wu source 7
SGF 2019 Reduce Table Size and Always Normalize! (Right? Maybe Not!) Darryl Prebble source 8
PHUSE US 2019 Data Preparation and Publishing Best Practices for a Successful RBM Implementation Sreekanth Gudapati source
presentation source		 4
PHUSE EU 2018 AI-powered Xbiom 3.1 Smart Curation & Transformation of Data [presentation] Kurien Abraham,
Nicolas Philippe		 source 12
PHUSE EU 2018 Want to Get Started with Deep Learning? Prototyping a Deep Learning Image Classifier Thomas Ellebaek source
presentation source		 9
PHUSE US 2018 A Semantic NLP Approach for Structuring and Analysis of FDA Meeting Minutes Documents Michelle Shen,
Weizhong Zhao		 source
presentation source		 12
SGF 2018 Understanding SAS K Functions Leo Liu source 23
SESUG 2017 Joining Data: Data Step Merge or SQL? Harry Droogendyk source 19
SESUG 2017 Methods for Creating Sparklines using SAS Richard Andrews source 10
PHUSE EU 2017 Patient-generated Health Data (Social Media) is a Potential Source of ADR Reporting Erwan Le Covec,
Stéphane Chollet		 source
presentation source		 14
MWSUG 2017 AIR Binder 2.0: A Dynamic Visualization, Data Analysis and Reporting SAS Application for Preclinical and Clinical ADME Assays, Pharmacokinetics, Metabolite Profiling and Identification Hao Sun,
Kristen Cardinal,
Richard Voorman		 26
MWSUG 2017 Oscars 2017 - Text Mining & Sentimental Analysis Karthik Sripathi 9
SGF 2017 A SAS Macro for Covariate Specification in Linear, Logistic, and Survival Regression Sai Liu source
zip		 19
SGF 2017 I'm Normal, You're Normal, but Is Your Weather Normal? Kyle Wood,
Jason Wilson,
Bradley Lawson,
Rain Xie		 source 5
SESUG 2015 Text Analytics Using JMP Melvin T. Alexander,
Social Security		 source 14
SGF 2015 Understanding Characteristics of Insider Threats by Using Feature Extraction Ila Gokarn,
Clifton Phua		 source 14
SGF 2015 Using SAS to Deliver Web Content Personalization Using Cloud-Based Clickstream Data and On-premises Customer Data Mahesh Subramanian,
Suneel Grover		 source 24
SGF 2014 Big Digital Data, Analytic Visualization, and the Opportunity of Digital Intelligence Suneel Grover source 17
PharmaSUG 2013 Doing the hashwork: Using the DATA step hash object to perform common clinical programming chores Miles Dunn source 9
SGF 2013 Feature Extraction and Rating of a Smartphone Photosharing Application Using SAS Sentiment Analysis Studio Anil Kumar Pantangi,
Goutam Chakraborty,
Sahithi Ravuri,
Siddhartha Reddy Mandati		 source
pdf		 10
SGF 2013 Healthcare Claims Processing with Base SAS through Denormalization of ANSI 837 Format Roberto Valverde,
Victor Shigaev		 source 7
SESUG 2012 Reducing Big Data to Manageable Proportions Sigurd W. Hermansen source 7
PharmaSUG 2012 SAS File Design: Guidelines for Statisticians and Data Managers Douglas Zirbel source 6
SGF 2012 Variable Selection for Multivariate Cointegrated Time Series Prediction with PROC VARCLUS in SAS Enterprise Miner 7.1 Akkarapol Sa-ngasoongsong,
Satish T. Bukkapatnam		 source 12
NESUG 2010 Normalizing SAS Datasets Using User Defined Formats David D. Chapman 7
PharmaSUG 2010 ECG Feature Detection Using SAS Suhas R. Sanjee,
Sridhar Vijendra		 9
SGF 2010 Managing Data Quality in Many Sectors: Healthcare, Tax, School, Environment Paola Leproni source 10
SGF 2010 SAS Scalable Performance Data Server: Star Schema Support Daniel M. Sargent source 12
SCSUG 2009 A Propaedeutics for PROC SQL Joins Toby Dunn,
Lisa A. Mendez		 9
SGF 2009 A Propaedeutics for PROC SQL Joins Lisa A. Mendez,
Toby Dunn		 source 9
SGF 2009 Combining Pieces and Parts to Create a Comprehensive Program Gary M. McQuown,
John Zheng		 source 12
SCSUG 2008 A Propaedeutics for PROC SQL Joins Lisa A. Mendez,
Toby Dunn		 9
SESUG 2008 A Propaedeutics for PROC SQL Joins Lisa A. Mendez,
Toby Dunn		 source 9
PHUSE EU 2008 J(u)mp to R: Using R functions in JMP Genomics Patrick René Warnat,
Andreas Mangold		 source 6
NESUG 2008 Is .1+.2 equal to .3? Shaoji Xu 13
NESUG 2008 Using Array, Formats and Macros to Unbundle Medicaid Fraud John Zheng,
Gary M. McQuown		 12
SGF 2008 Joining Data: Data Step Merge or SQL? Faisal Dosani,
Harry Droogendyk		 source 19
SGF 2007 Methodology for Railway Demand Forecasting Using Data Mining Giovanni M. Viglioni source 11
SUGI 2006 Using Database Principles to Optimize SAS Format Construction from Tabular Data Perry Watts source 20
PharmaSUG 2005 Creating Efficient SQL - The De-normalize Transpose Paul D. Sherman 14
PharmaSUG 2005 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 14
PharmaSUG 2005 Using SAS to Automate The Process of Microarrays Data Normalization Lei Qin. Cancer 7
PharmaSUG 2005 Want to Do a Better Job? - Want to Do a Better Job? - Select Appropriate Statistical Analysis in Healthcare Research Liping Huang 7
NESUG 2004 Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss		 18
PharmaSUG 2004 Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss		 18
SUGI 2004 Mainframe SAS for the 21st Century Kryn Krautheim source 9
SUGI 2004 Progress in SAS Scientific Discovery Solutions: Genetics, Microarrays, and Proteomics Russell D. Wolfinger,
Wendy Czika,
Kristen Kleiss		 source 19
SESUG 2003 An Introduction to Genomics and SAS Scientific Discovery Solutions Russell D. Wolfinger source 7
NESUG 2003 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 15
SEUGI 2003 An Introduction to Genomics and SAS Scientific Discovery Solutions [presentation] Karen Miller source 34
PharmaSUG 2003 Clinical Data Model and FDA/CDISC Submissions Mark Edwards,
Gajanan Bhat		 10
SUGI 2003 An Introduction to Genomics and SAS Scientific Discovery Solutions Russell D. Wolfinger,
Susan Flood		 source 7
SEUGI 2002 Identifying fugitives with data mining [presentation] Bulcsu Fajszi,
Gergo Galfi,
Zoltan Benedek		 source 24
SEUGI 2002 Netarget - intelligence creation as core business process [presentation] Christophe Cousin source 20
PharmaSUG 2002 Clinical Data Model and FDA Submissions Shy Kumar 6
SESUG 2001 A Confidence Interval Approach to Gene Chip Analysis Jennifer L. Waller source 6
SCSUG 2001 A Confidence Interval Approach to Gene Chip Analysis Jennifer L. Waller,
Mark G. Anderson		 6
SEUGI 2001 Web and Data Warehouse technology combined in a pharmaceutical decision support system [presentation] Christine Vander Vorst source 29
SUGI 2001 Data Modeling in Clinical Data Analysis Projects Gajanan Bhat source 6
SUGI 2001 Migrate to Oracle? I Need My SAS!! Dianne Louise Rhodes source 5
NESUG 2000 Migrate to ORACLE? I Need My SAS Software! Dianne Louise Rhodes 5
PharmaSUG 2000 Data Modeling in Clinical Data Analysis Projects Gajanan Bhat 3
SUGI 2000 Migrate to ORACLE? I Need My SAS Software! Dianne Louise Rhodes source 5
SCSUG 1999 Normalization of Peak Demand for an Electric Utility Using PROC Model J. Mark Harris,
Jeff Brown,
Mark Gilbert		 7
WUSS 1999 A SAS/AF Application for Parallel Extraction, Transformation, and Scoring of a Very Large Database Daniel W. Kohn,
David L. Kuhn		 source 7
NESUG 1999 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 10
SEUGI 1999 Internet as an evolutionary tool of the information system [presentation] Giovanni Maio source 30
SEUGI 1999 The Bridge between ERP and Business Intelligence - illustrated by example of SAP Retail and SAS [presentation] Frank-Stefan Rock source 29
SUGI 1999 A SAS/AF Application for Parallel Extraction, Transformation, and Scoring of a Very Large Database Daniel Kohn,
David Kuh		 source 7
WUSS 1998 Generating Pipeline Chart by Using SAS/GRAPH Jeff Y. Yuan source 4
NESUG 1998 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 10
PharmaSUG 1998 There's No Such Thing as Normal Clinical Trials Data, or Is There? Daphne E. Ewing 14
SUGI 1998 W-O-W : Data Warehouse, SAS/OR and the Web Art Rerecich source 8
SEUGI 1997 Trickle feed update of SAS Data Warehouses from ADABAS protection log tapes Stuart Birch source 26
SESUG 1996 A Relational Database Primer for SAS Programmers Paul Dalberth 8
SUGI 1996 A Relational Database Primer tor SAS Programmers Paul Dalberth source 8
SUGI 1994 A Review of SAS/AF Decision Support Systems Based on an SQL/DS Data Warehouse Candy R. Habich source
SUGI 1994 BestClass: A Robust Nonparametric Classification Package A. Pedro Duarte Silva,
Antonie Starn		 source 6
SUGI 1993 Fighting Over the Pie: A Base SAS Application to Forecast Market Shares Jon Rosenthal source 6
SUGI 1991 Database Design Options Using Release 6.06 of the SAS System Tim Feetham,
Sally Witt,
Lauri Vance		 source 3
SUGI 1991 Normalized Data: Implications for the Use of SAS Software, SQL, and Views Patricia L. Gerend source 5
SUGI 1991 Why Be Normal? Constructing SAS Based Tools to Facilitate Database Design Peter Kretzman source 7
SUGI 1990 Creating and Managing an SQL'"Database with the SAS' System Mark Stranieri source 6
SUGI 1990 Interfacing Normalized Relational Database Structures with SAS Software James R. Johnson,
Roger D. Cornejo		 source 8
SUGI 1989 Using the SAS System for Error Identification and Resolution in Large and Complex Data Structures Herbert C. Reynolds,
Donald P. Trees		 source 6
SUGI 1988 Using SAS Software to Simplify the Display and the Interpretation of Laboratory Data Kathleen H. Arthur source 6
SUGI 1985 A Time Series Approach to Modeling Daily Peak Electricity Demands Michael F. Jacob source 6
SUGI 1984 An M-Population Covariance Stabilization: PROC VARSTB James E. Dunn,
Mike Zodrow		 source 6
SUGI 1983 Construction and Management of a Medical Research Data Base Using RAQL and SAS Jacob V. Aranda,
Ted Van Rossum		 source
SUGI 1982 Enhancements in ALSCAL-82 Forrest W. Young source 10
SUGI 1979 Implementing Relational Database Management Techniques in SAS William Ingram III source 6

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