HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

data wrangling

383 papers and 39 presentations; 404 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
WUSS 2026 Enhancing Your SAS Viya Workflows with Python: Integrating Python's Open-Source Libraries with SAS using PROC PYTHON Ryan Paul Lafler,
Miguel Bravo Martinez del Valle
source 12
PharmaSUG 2026 AI-Assisted Modular Design for R Markdown Report Generation A Hybrid Architecture for Enhanced Maintainability and Cross-Study Scalability Song Liu,
Jingwei Xiong
source 13
PharmaSUG 2026 Automating Table Generation in Real-World Data Programming: An AI-Assisted Approach Sachin Heerah,
Darren Jeng
source 12
PharmaSUG 2026 Enhancing Your SAS Viya Workflows with Python: Integrating Python's Open-Source Libraries with SAS using PROC PYTHON Ryan Paul Lafler,
Miguel Bravo Martinez del Valle
source 13
PharmaSUG 2026 Has your SAS being 'MEAN' to your data yet? Ruth Marisol Rivera Barragan,
Isaac Vazquez
source 8
PharmaSUG 2026 SAS Performance Tuning Techniques (From Slow to Scalable) Kirk Paul Lafler source 18
PharmaSUG 2026 SAS to R: A Practical Bridge for Programmers Jyoti (Jo) Agarwal source 10
PharmaSUG 2026 User-defined Functions for Programming Population PK and PKPD Datasets Zhongqing He,
Man Li,
Hong Yan
source 7
PHUSE US 2026 Breaking into Statistical Programming: How SAS, R, Python, AI and ML Are Shaping Career Paths Kishore Pothuri source
presentation source
6
PHUSE US 2026 Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages [presentation] Blazej (Moni) Neradilek,
Chenchen Yu
source 14
PHUSE US 2026 Electronic Submission of Population PK Analysis Files ... What's Your Modus Operandi? Luai R. Alzoubi source
presentation source
13
PHUSE US 2026 Is the AI Coding Assistant Catching Your Vibe? A Practical Assessment of Generative AI Tools in Clinical Data Analytics Chendi Liao source
presentation source
6
PHUSE US 2026 Orchestrating Multi-Agent Workflows for Complex Trial Data Integration Rajesh Hagalwadi source 8
PHUSE US 2026 The Journey Beyond Anonymisation: Exploring the Secondary Use of Clinical Trial Data Yuliia Cherednichenko,
Tetiana Skorokhod
source
presentation source
18
PHUSE APAC 2026 Streamlining SEND Dataset Generation: Enhancing Efficiency and Quality with Shiny Dashboards Madhulika Mishra,
Michael Denieu
source
presentation source
10
PHUSE EU 2025 Guiding the direction of open-source development for faster end-to-end HTA submissions Christian Olsen source
presentation source
10
PHUSE EU 2025 Keeping it Real: A Tiered Approach to Real-World Data Quality by Leveraging Synthetic Data Lisa Murch,
William Kuan
source
presentation source
10
PHUSE EU 2025 Leading through talents Karolina Filar source
presentation source
8
PHUSE EU 2025 Leveraging Generative AI for SAS Macro Testing and Test Data Preparation Denis Gavriusev source
presentation source
10
PHUSE EU 2025 Small Application for Big Change: Data Integrity and Compliance Through Automated Decision Tracking with Shiny Olena Olishevska,
Mika Mäkinen
source
poster source
9
PHUSE EU 2025 Turning Data into Deliverables: Automating Biometrics from Metadata to TFLs Inderjeet Arora source
presentation source
9
PharmaSUG 2025 Achieving Reliable Data Verification with R: Proven Tools, Best Practices, and Innovative Workflows Valeria Duran,
Xuehan (Emily) Zhang
source 15
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
PharmaSUG 2025 An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS Kai Lei,
Jiaqiang Zhu,
Margaret Huang
source 14
PharmaSUG 2025 Slice, Dice, Analyze: Revolutionizing SDTM cuts with datacutr package Diego Madrigal Viquez source 6
PharmaSUG 2025 Streamlining BIMO and Patient Profile Generation: A Python-Based Semi-Automated Approach Integrated with CSR Development Dmytro Skorba,
Mykyta Vysotskyi
source 15
PHUSE US 2025 Leadership Presentations: How and Why, Statistical Programming Leaders Need to Plan for Next Generation Statistical Programming [presentation] Francis Kendall source 29
PHUSE US 2025 Navigating the Transition to a New Statistical Computing Environment: Streamlining Compliance and Operational Excellence Shilpa Sood,
Kala Shivalingaiah
source
poster source
11
PHUSE US 2025 The Future of Data Surveillance in Clinical Studies: A Comprehensive Approach to Data Monitoring Using an R Shiny Application for Study Health Jacky Jin,
Ruchitbhai Patel
source
presentation source
5
PHUSE US 2025 The Olympics of Data Ingestions Cathryn Herbst source
presentation source
8
PHUSE US 2025 Three Pointers for Effective and Accurate LLM Integration! Sundaresh Sankaran,
Sherrine Eid
source
presentation source
9
PHUSE US 2025 Transforming Clinical Trials with AI-Driven Protocol Optimization and Next-Gen Statistical Programming Ravindra Shukla source
presentation source
8
PHUSE US 2025 Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence Bill Qubeck,
Sridhar Vijendra
source
presentation source
15
MWSUG 2024 Enhancing Your SAS Viya Workflows with Python: Integrating Python's Open-Source Libraries with SAS using PROC PYTHON Ryan Paul Lafler,
Miguel Bravo Martinez del Valle
source 11
PHUSE EU 2024 Combining the Power of RShiny and SAS Viya David Weik source
presentation source
4
PHUSE EU 2024 Connecting Standard from Design to Analysis to Submission: Finishing the CDISC 360 Vision [presentation] Peter Van Reusel source 25
PHUSE EU 2024 Data Pipelines in Clinical Trials Leveraging Apache Airflow for Automated Task Management Kostiantyn Zvieriev source
presentation source
16
PHUSE EU 2024 How to Optimise Your SAS Code: Tips and Tricks Vismaya Kondassam Veedu source
presentation source
16
PHUSE EU 2024 Transcriptomics - A Demanding Data Analysis that Expands the Limits of Regulated Clinical Data Handling Lea Yoshida Hildebrandt source
presentation source
6
WUSS 2024 Array Hashing: Simple, Fast, and Efficient Paul M. Dorfman source 12
WUSS 2024 SAS Studio, SAS Enterprise Guide, SAS Extension for Visual Studio Code: Which should I use? [presentation] Casey Smith source 16
WUSS 2024 Uniform Hashing of Arbitrary Input Into Key-Exclusive Segments Paul M. Dorfman,
Donald J. Henderson
source 17
PharmaSUG CN 2024 An R Function to Split Text Strings Exceeding 200 Characters into Multiple Variables Longfei Li source 7
PharmaSUG CN 2024 Exploring the Interaction Between SAS and R to Enhance Programming Efficiency Qi Zhai,
Yu Li,
Yi Yang
source 8
PharmaSUG CN 2024 Implementing Statistical Methods in Companion Diagnostic: A Case Study in NSCLC Danxia Hu,
Mandy Gao,
Jianyong Tong
source 10
PharmaSUG CN 2024 LiveTFL -- A Centralized Clinical Analysis Platform Based on the Teal Framework and Enhanced by AI Kaiping Yang,
Jie Liu,
Cheng Zhang,
Yuhang Liu
source 22
PharmaSUG 2024 A R Markdown Structure for Automatically Generating Presentation Slides Junze Zhang,
Chuanhai Tang,
Xiaohui Wang
source 9
PharmaSUG 2024 SAS Super Duo: The Program Data Vector and Data Step Debugger Charu Shankar source 6
PHUSE US 2024 Enabling the Breakthroughs of Tomorrow: The Data Lakehouse for Clinical Trials Venu Mallarapu source
presentation source
12
PHUSE US 2024 Enabling the Interoperable Data Ecosystem with the elluminate Clinical Data Cloud [presentation] Nathan Johnson source 15
PHUSE US 2024 Scaling ECAs from Projects to the Enterprise: Multicentre, Multisource Infrastructure for External Control Arms Jussi Leinonen,
Mayur Saxena
source
presentation source
4
PHUSE US 2024 Statistical Reporting Metadata Manager: Web Application to Streamline and Centralise Global and Study Metadata Preparation and Management Faisal Mohammed source
presentation source
4
PHUSE EU 2023 The Reality Behind Data Preparation for Statistical Programmers [poster] Megan Carnell,
Leon Lombaard
source 1
SESUG 2023 Hashes From The Ashes Paul M. Dorfman,
Richard A. DeVenezia
source 14
SESUG 2023 Predicting Employees' Preference for Remote or On-site Jobs Livingstone Gadzanku source 10
PharmaSUG 2023 Industry metrics for standards utilization and validation rules Sergiy Sirichenko source 13
PharmaSUG 2023 Integrating Practices: How Statistical Programmers Differ and Align Within User Groups Valeria Duran,
Radhika Etikala,
Haimavati Rammohan
source 15
PharmaSUG 2023 Making Publication Metric Tracking Easy: Using an Automated, Integrated System of R, SAS, and Microsoft Power BI to Ease the Pain of Assessing Publication Metrics Joshua J. Cook,
Jessica Truett
source 16
PharmaSUG 2023 Real Projects, Real Transition, Really Revolutionary - Transitioning to R for Biometrics Work Danielle Stephenson,
Rebekah Oster,
Alyssa M. Wittle
source 11
PHUSE EU 2022 Enabling the End-to-end Data Pipeline with the elluminate Clinical Data Cloud [presentation] Achilleas Zaras source 12
SAS Explore 2022 Automate SAS Workflows by CI/CD Pipelines [video] Anand Bisen source
youtube
SAS Explore 2022 Data Preparation in SAS Viya [video] Nicole Ball source
youtube
SAS Explore 2022 Feature Store on the SAS Viya Platform [video] Cezary Glowinski source
SAS Explore 2022 SAS Model Studio: Building ML, Text Analytics and Forecasting Pipelines [video] Wendy Czika source
youtube
PharmaSUG 2022 ADCM Macro Design and Implementation Chengxin Li,
Tingting Tian,
Toshio Kimura
source 7
PHUSE EU 2021 Data Engineering - An Emerging Skill for Today's Statistical Programmers [presentation] Axel Muehlig,
Sangeeta Bhattacharya
source
video
18
PHUSE EU 2021 Programming Infrastructure to Automate Process Flow for CSS [presentation] Archana Nayak,
Salvatore Saporito
source
video
22
PHUSE EU 2021 Tips and Tricks for Being More Productive with SAS Studio [presentation] Andy Bayliss source
video
32
PHUSE US 2021 Standing Room Only Presentation: DV10: Topline Results Dashboards with Rmarkdown & Flexdashboard [presentation] Harsha Kalikivayi,
Robert Adams
source 26
SGF 2021 Uniform Hashing of Arbitrary Input Into Key-Exclusive Segments Paul M. Dorfman,
Donald J. Henderson
source
presentation
17
PHUSE EU 2020 Patient Insights and Real-world Data from Social Media [presentation] Luisa Regenold,
Soundarya Palanisamy
source
video
28
PHUSE EU 2020 Template-based Graph Generation in Python and its Maintenance in Git [presentation] Pournima Prabhakaran source
video
21
SGF 2020 Automation in SAS Visual Data Mining and Machine Learning Wendy Czika source 26
SGF 2020 Best Practices in SAS Programming to Support Ever-Increasing Data Loads. John Schmitz source 15
SGF 2020 Data Breaches Are Deadly - Let's Move Our Data with Cloud Data Exchange Ivor G. Moan source 15
SGF 2020 Data Preparation Techniques for Cloud-Based Data Sources Jennifer L. Nenadic source 11
SGF 2020 Designing Dashboards for Multiple Target Audiences with SAS Visual Analytics Kunal Shah source 12
SGF 2020 Expedite Analytics Deliver and Empowerment with a Common Analytics Base Table Jennifer L. Nenadic source 11
SGF 2020 How To Make Your Reports Fly! The Impact of Visualization Layer Calculations on Performance Jessica Fraley source 4
SGF 2020 Sailing Your Data Lake with Self-Service Data Prep Peter Baquero source 20
SGF 2020 Take Control of Your Data! Diane Hatcher source 11
SGF 2020 The Secret to Successful CECL Model Implementation Monica Wang,
Jackie Yanchuck
source 5
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
PharmaSUG 2020 Metadata-driven Modular Macro Design for SDTM and ADaM Ellen (Zihui) Lin,
Aditya Tella,
Yeshashwini Chenna,
Michael Hagendoorn
source 9
MWSUG 2019 Breaking Human Trafficking Network: An Analytics Approach Raj Laxmi Prakash,
Miriam McGaugh
16
WUSS 2019 People Keep ASCIIng Me About These Characters Dan Konkler,
Rebecca Bowermaster,
Stephanie Ann Sanchez
source 20
PharmaSUG 2019 Practices in CDISC End-to-End Streamlined Data Processing Chengxin Li source 14
PharmaSUG 2019 Python-izing the SAS Programmer Mike Molter source 19
SGF 2019 Data Governance: Harder, Better, Faster, Stronger Vincent Rejany source 18
SGF 2019 Data Preparation in the Analytical Life Cycle Ivor G. Moan source 8
SGF 2019 Medical Image Analytics in SAS Viya for the Treatment of Colorectal Cancer Spread to the Liver Fijoy Vadakkumpadan,
Joost Huiskens
source 11
SGF 2019 The SAS Hash Object: Well Beyond Table Lookup Paul M. Dorfman,
Donald J. Henderson
source 27
SGF 2019 To Buy or to Create? Determining the Best Option for Student Success Models Stephanie R. Thompson source 6
PHUSE US 2019 Approach of Programming Production Harmonized with Submission Chengxin Li source
presentation source
6
PHUSE US 2019 Don't Let Your Data Handle You: A Novel Approach to Clinical Programming Jorine Putter source
presentation source
10
PHUSE US 2019 R and Python Differences, Techniques and Challenges for SAS Programmers Murali Neela source
presentation source
20
PHUSE US 2019 R Markdown for Reproducible Research Cole Arendt source
presentation source
15
PHUSE EU 2018 Data Engineering Project (Educating for the Future PHUSE Working Group) Guy R. Garrett,
Bev Hayes
source
presentation source
14
SESUG 2018 Developing In-House Student Success Models Stephanie R. Thompson source 6
SESUG 2018 Tips and Tricks for Ensuring Accurate Routine Data Processing when Logs are Redirected to Text Files Davia N. Moyse source 7
PharmaSUG 2018 Advanced Visualization using TIBCO Spotfire and SAS Ajay Gupta source 14
PharmaSUG 2018 Preventing premature unblinding in PK/PD related studies Debbie Sisco,
Alice Zong
source 11
SGF 2018 Automate the Tedious Stuff: Use Cases in Taking Your Time Back Danni Bayn Jr. source 7
SGF 2018 Data Visualization from SAS to Google Maps on Microsoft SharePoint Xiaogang Tang source 13
SGF 2018 Do You Need to Put Your Data on a Diet? Howard Plemmons Jr.,
Priya Sharma
source 7
SGF 2018 Enable Personal Data Governance for Sustainable Compliance Vincent Rejany source 24
SGF 2018 Enterprise, Prepare for Analysis! Using SAS Data Management to Prepare Data for Analysis Bob Janka source 17
SGF 2018 Examining the Drivers of Hospital Re-admission of Type-2 Diabetic patients Shashank Reddy Gudipati source 9
SGF 2018 Is Your Data Viable? Preparing Your Data for SAS Visual Analytics 8.2 Gregor Herrmann source 10
SGF 2018 Key-Independent Uniform Segmentation of Arbitrary Input Using a Hash Function Paul M. Dorfman,
Donald J. Henderson
source 18
SGF 2018 Navigating the Analytics Life Cycle with SAS Visual Data Mining and Machine Learning Susan Haller,
Brett Wujek
source 29
SGF 2018 Optimizing Inventory of Slow-Moving Products Using SAS Optimization Malleswara Sastry Kanduri,
Amy Mcarthur
source 8
SGF 2018 SAS Visual Forecasting: A Cloud-Based Time Series Analysis and Forecasting System Jerzy M. Brzezicki,
Joseph H. Katz
source 21
SESUG 2017 Using SAS for Application Programming Interface Requests Michael Jadoo source 9
PHUSE EU 2017 Approach to EMA Policy 0070 - From Data Science Perspective Jorine Putter source
presentation source
6
PHUSE EU 2017 Data Cleaning Technique for Business Analytics: What Stats Van Do for DM Adam Korczynski source
presentation source
16
MWSUG 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky 14
PharmaSUG 2017 Awareness from Electronic Data Submission to PMDA and FDA -- Lesson & Learnt from hands-on experiences -- Yuichi Nakajima,
Takashi Kitahara,
Ryan Hara
source 12
PharmaSUG 2017 Programming Efficiency in the Creation of ADaM BDS Datasets Ellen (Zihui) Lin source 11
PharmaSUG 2017 Tips and Best Practices using SAS Analytics Tho H. Nguyen,
Paul Segal
source 7
PharmaSUG 2017 Using SAS for Application Programming Interface Requests Mike Jadoo source 9
SGF 2017 Befriend SAS In-Database Technologies to Accelerate SAS Integration with Your Data Platform Tatyana Petrova source 16
SGF 2017 Beyond Table Lookup: The Versatile SAS Hash Object Paul M. Dorfman,
Donald J. Henderson
source 27
SGF 2017 Data Management for Cybersecurity Alex Anglin source 6
SGF 2017 DATA Step in SAS Viya: Essential New Features Jason Secosky source 14
SGF 2017 Investigating Connections between Disparate Data Sources with SAS Visual Investigator Gordon Robinson source 10
SGF 2017 Ten Tips to Unlock the Power of Hadoop with SAS Wilbram Hazejager,
Nancy A. Rausch
source 17
SESUG 2016 Empowering Self-Service Capabilities with Agile Analytics Paul Segal,
Tho H. Nguyen,
Bob Matsey
source 8
SESUG 2016 What to Expect When You Need to Make a Data Delivery... Helpful Tips and Techniques Tom McCall,
Louise S. Hadden
source 7
PHUSE EU 2016 eal-world Evidence: A Comparison Between Countries Edith Heintjes,
Jetty Overbeek
source
presentation source
7
MWSUG 2016 What to Expect When You Need to Make a Data Delivery... Helpful Tips and Techniques Tom McCall,
Louise S. Hadden
7
WUSS 2016 Ditch the Data Memo: Using Macro Variables and Outer Union Corresponding in PROC SQL to Create Data Set Summary Tables Andrea Shane source 5
PharmaSUG 2016 The Hadoop Initiative: Supporting Today's Data Access and Preparing for the Emergence of Big Data Michael Senderak,
David Tabacco,
Robert Lubwama,
David O'Connell,
Matt Majer,
Bryan Mallitz
source 9
SGF 2016 A Sea of Data--Gaining Competitive Advantage by Creating a Portal of Seafood Insights in SAS Visual Analytics Designer and SAS Information Delivery Portal Kia Uuskartano,
Tor Erik Somby
source 8
SGF 2016 Creating a Q-gram Algorithm to Determine the Similarity of Two Character Strings Joe DeShon source 7
SGF 2016 Data to Dashboard: Visualizing Classroom Utilization and Diversity Trends with SAS Visual Analytics Shweta Doshi,
Julie Davis
source 11
SGF 2016 Pedal-to-the-Metal Analytics with SAS Studio, SAS Visual Analytics, and SAS Visual Statistics Manuel Figallo-Monge source 20
SGF 2016 What to Expect When You Need to Make a Data Delivery... Helpful Tips and Techniques Tom McCall,
Louise S. Hadden
source
presentation
6
SESUG 2015 A Journey from data to dashboard: Visualizing the university instructional classroom utilization and diversity trends with SAS Visual Analytics Shweta Doshi source 9
SESUG 2015 Reporting of treatment emergent adverse events based on pooled data Analysis or Country Specific Submissions: A case study Sheetal Shiralkar source 8
PharmaSUG 2015 Improving Data Quality - Missing Data Can Be Your Friend! Julie Chen source 12
SGF 2015 Access, Modify, Enhance: Self-Service Data Management in SAS Visual Analytics Gregor Herrmann source 14
SGF 2015 BI-on-BI for SAS Visual Analytics Murali Nori source 9
SGF 2015 Improving the Performance of Data Mining Models with Data Preparation Using SAS Enterprise Miner Ricardo Galante source 21
SGF 2015 Methodology of Model Creation Peter Kertys source 11
SGF 2015 Take a Bite Out of Crime with SAS Visual Scenario Designer Yue Qi source 10
SGF 2015 Time to Harvest: Operationalizing SAS Analytics on the SAP HANA Platform Morgen Christoph source 11
PHUSE EU 2014 Programming and Statistics in the Academics Environment [presentation] Arne Ring source 21
PHUSE EU 2014 Study Data Handling: A CRO Experience Paul Crean source
presentation source
6
MWSUG 2014 Conquering Big Data Analytics with SAS, Teradata and Hadoop John Cunningham,
Tho H. Nguyen,
Paul Segal
10
MWSUG 2014 Parallel Data Preparation with the DS2 Programming Language John Cunningham,
Paul Segal,
Tho H. Nguyen
11
MWSUG 2014 SAS In-Database Analytics for Teradata: Stop the Data Movement Paul Segal,
Tho H. Nguyen,
John Cunningham
4
WUSS 2014 Conquering Big Data Analytics Challenges with SAS, Teradata and Hadoop Tho H. Nguyen,
Paul Segal,
John Cunningham
source 10
WUSS 2014 Parallel Data Preparation with the DS2 Programming Language John Cunningham,
Tho H. Nguyen
source 11
WUSS 2014 SAS In-Database Analytics for Teradata: Stop the Data Movement Tho H. Nguyen,
Paul Segal
source 4
SGF 2014 An Implementation of MapReduce in Base SAS David Moors source 16
SGF 2014 Empowering SAS Users on the SAP HANA Platform Christoph Morgen source 9
SGF 2014 Parallel Data Preparation with the DS2 Programming Language Jason Secosky,
Robert S. Ray,
Greg Otto
source 11
SGF 2014 Star Wars and the Art of Data Science: An Analytical Approach to Understanding Large Amounts of Unstructured Data Adam Maness,
Mary Osborne
source 28
SGF 2014 Text Mining Economic Topic Sentiment for Time Series Modeling Michael P. Dessauer,
Justin Kauhl
source 14
SGF 2014 The Desert and the Dunes: Finding Oases and Avoiding Mirages with the SAS Visual Analytics Explorer Nascif Abousalh-Neto source 15
PHUSE EU 2013 Spotfire for Statisticians and Statistical Programmers [presentation] Alistair Dootson,
Mark Demesmaeker
source 17
PHUSE EU 2013 Standards for the Management of Clinical Trial Data, Why are they Needed, What is Needed? Isabelle Abousahl source
presentation source
11
PharmaSUG 2013 A Generic Concept to Handle SDTM (and other CDISC) Data Sets Peter Schaefer source 8
SGF 2013 Bringing Churn Modeling Straight to the Source: SAS and Teradata In-Database Model Development Jonathan Wexler,
Karl Krycha
source 9
SGF 2013 The Hash-of-Hashes as a "Russian Doll" Structure: An Example with XML Creation Joseph W. Hinson source 21
NESUG 2012 Using SAS Enterprise Guide to Handle Backend Data Preparation for the Health Indicators Warehouse Li-Hui Chen,
Mary Ann Bush,
Kate Brett
10
MWSUG 2012 An Analysis of Diabetes Risk Factors Using Data Mining Approach Akkarapol Sa-ngasoongsong,
Jongsawas Chongwatpol
11
SGF 2012 Creating the Perfect Plot with PROCs EXPAND and SGPLOT: The Dynamic Duo of Time Series Display Andrew H. Karp source 2
SGF 2012 Dickens vs. Hemingway: Text Analysis and Readability Statistics in Base SAS Jessica R. Hampton source 8
SGF 2012 Making it Happen: Using SAS to Implement Business Intelligence and Analytics in Small and Midsize Organizations Richard R. Hallquist,
Dragos Coles,
Lorrie Gallego
source 16
SGF 2012 Using SAS PROC MIXED to Fit Health Policy-Based Hierarchical Models Lori L. Miller,
Fred Wilds
source 7
WUSS 2011 SAS Procedure Proc Mixed to Assess the Effects of School Health Policy Requirements on Change in Student Health Outcomes Lori Miller source 9
SGF 2011 Creating a SAS Model Factory Using In-Database Analytics John Spooner source 8
SGF 2011 Time Series Data Mining with SAS Enterprise Miner Sascha Schubert,
Taiyeong Lee
source 12
SGF 2011 Using the SAS Macro Language and SAS Pipe to Process State Health Care Survey Data Xiaoting Qin,
Cathy Bailey
source 6
PHUSE EU 2010 How can we do things better: A SAS Java Library Proposal and other stories Michael Auld source 4
PharmaSUG 2010 Programming Validation: Perspectives and Strategies Parag Shiralkar 4
SGF 2010 dATa qWaliti 4 Analytics David Barkaway,
Gerhard Svolba
source 12
SGF 2010 Efficient Statistical Programming? Reducing SAS Run Time with WHERE Setup Keiko I. Powers source 4
PHUSE EU 2009 Crossing the Chasm: Simplifying Data Management with Perl and Metadata Stephen Baker source
presentation source
9
PHUSE EU 2009 Works as Designed (?) Heinrich von Lips source 7
NESUG 2009 Ad Hoc Data Preparation for Analysis Using SAS Enterprise Guide I-Kong B. Fu 11
NESUG 2009 Using SAS to Handle HL7 Messages in A Health Information Exchange Enxu Zhao,
Kathryn J. Schmit,
Linh H. Le
13
WUSS 2009 Efficient Statistical Programming? - These Small Steps Make the Difference Keiko I. Powers source 16
WUSS 2009 Improving Efficiency of Excel Summary Production with SAS Data Steps Prior to PROC DBLOAD Export Keiko I. Powers source 10
SGF 2009 Ad Hoc Data Preparation for Analysis Using SAS Enterprise Guide I-Kong B. Fu,
Wayne Thompson,
Mike Porter
source 11
SGF 2009 SAS in Financial Research: Embracing Data Taras Zlupko source 8
SGF 2009 The Path to Profitable Analytics: Via Predictive Analytics to Marketing Automation Petr Ptacnik source 10
WUSS 2008 Efficient Statistical Programming? - Let's Work on Those Data Steps First Keiko I. Powers source 4
SESUG 2008 Order From Chaos: Using the Power of SAS to Transform Audit Trail Data Yun Mai,
Susan Myers,
Nanthini Ganapathi,
Vorapranee Wickelgren
source 8
SESUG 2008 SAS Hash Objects: An Efficient Table Look-Up in the Decision Tree Ying Liu source 15
PharmaSUG 2008 From Soup to Nuts: Practices in Data Management for Analytical Performance David R. Duling 25
SGF 2008 From Soup to Nuts: Practices in Data Management for Analytical Performance David R. Duling,
Howard Plemmons Jr.,
Nancy A. Rausch
source 24
NESUG 2007 The SQL Procedure: Tricks and Techniques for Efficiency and Simplicity Sreekanth Reddy Middela,
Suhas R. Sanjee
4
SESUG 2007 A SAS Macro: Similar Code for the Similar Schools Data Processing Imelda C. Go source 9
SESUG 2007 Treemap Presentation as a Corporate Dashboard Larry Day,
Richard Dickinson,
Corporate Performance Measures,
BNSF Railway
source 9
MWSUG 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga 20
SGF 2007 A Throughput-Intensive Compute and Storage Grid Using SAS Grid Manager Somantak Chanda source 10
SGF 2007 Creating Order Out of Character Chaos: Collation Capabilities of the SAS System Michael Mebust,
Scott Bridgers
source 16
SGF 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga source 20
PNWSUG 2006 Advanced Warehousing with SAS9 Gary Mehler 17
SCSUG 2006 What's New in SAS Enterprise Miner 5.2 Wayne Thompson,
David R. Duling
10
WUSS 2006 Advanced Warehousing with SAS9 Gary Mehler source 17
WUSS 2006 Real-Time Sales Volumes Projection with SAS - A Challenge in Implementing a Data-Based Solution in the Automobile Industry Keiko I. Powers source 8
NESUG 2006 Imputation of Missing Date Information for Injuries and Poisonings Reported in the National Health Interview Survey Richard Coles,
Patricia Barnes,
Lois Fingerhut,
Jane Gentleman,
Nathaniel Schenker,
Margaret Warner
7
SUGI 2006 80 Ways to Spell "Refrigerator" Joshua P. Becker,
John Wallace
source 10
SUGI 2006 Advanced Warehousing with SAS9 Gary Mehler source 17
SUGI 2006 Comparison of Data Preparation Methods for Use in Model Development with SAS Enterprise Miner Charles Manahan source 10
SUGI 2006 Efficient Construction of a "One-Row-per-Subject" Data Mart for Data Mining Gerhard Svolba source 16
SUGI 2006 SAS Applications Introduced into China Customs Bin Fang source 6
SUGI 2006 What's New in SAS Enterprise Miner 5.2 Wayne Thompson,
David R. Duling
source 10
SESUG 2005 _05 Using MS-ACCESS Metadata to Drive Automated SAS Data Gary N. Weeks source 3
SESUG 2005 Preemptive DATA CLEANING: Techniques Malachy J. Foley source 13
SCSUG 2005 Preemptive DATA CLEANING: Techniques Malachy J. Foley 9
SUGI 2005 Predicting Workers' Compensation Insurance Fraud Using SAS Enterprise Miner 5.1 and SAS Text Miner Terry J. Woodfield source 6
SCSUG 2004 Just for the Kids School Reports: A data-oriented web site powered by SAS Bob Zambarano 14
WUSS 2004 Using Classification Tree Outcomes to Enhance Logistic Regression Models Tim Millard source 4
PharmaSUG 2004 Module to create Global Macro Variables with distinctive names matching Date values they carry Anatoly V. Kulinsky 7
SUGI 2004 Data Standardization Strategies Producing Rapid International Disease Surveillance and Intervention: The Challenge and Solution Scott Optenberg source 2
SUGI 2004 Hash Component Objects: Dynamic Data Storage and Table Look-Up Paul M. Dorfman,
Koen Vyverman
source 18
SESUG 2003 Table Lookup By Direct Addressing: From V8 To V9 Paul M. Dorfman source 13
PharmaSUG 2003 Standardizing Data Processing and e-Publishing for the Pharmaceutical Industry Shawn Wang 6
PharmaSUG 2003 Statistical Processing and Analysis of Proteomic and Genomic Data Mark Carpenter,
Sreelatha Melath,
Sijian Zhang,
William E. Grizzle
4
MWSUG 2002 This Club Doesn't Need a Secret Handshake: Establish an In-House SAS User Group Francine Cannarozzi 3
NESUG 2002 An Animated Guide: Speed Merges with Key Indexing, Bitmapping and Hashing Paul M. Dorfman,
Russell M. Lavery
10
SEUGI 2002 Innovations in Cash Logistics: CoBaCash - An intranet based system for optimizing cash supply for branches and ATMs [presentation] A. Ruban,
L. Nottekämper
source 25
SEUGI 2002 OLAP Business Metrics Library - Tailored Analyses for Retailers' Mass Data and complex Business Figures [presentation] Sven Viergutz source 23
SEUGI 2002 State of the Art Management Information System in Internet Banking at Credit Suisse Financial Services [presentation] Martin Prestera source 20
SEUGI 2002 The use of SAS in Volkswagen Financial Services [presentation] Jan Suniar source 20
SUGI 2002 Data Warehousing for the Enterprise Gary Mehler source 8
NESUG 2001 Another Simple SAS/AF Program to Manage SAS/CONNECT Sessions Richard L. Downs Jr. 2
SESUG 2001 Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing Paul M. Dorfman source 10
SESUG 2001 V6 to V8 Applications: To Web or Not To Web? Sharon Muha source 4
SCSUG 2001 Direct Addressing Techniques of Table Look-Up Part 1. Key-Indexing - Bitmapping Part 2. Hashing Paul M. Dorfman 10
SCSUG 2001 Problem Solving Techniques with SQL Kirk Paul Lafler 4
SEUGI 2001 Being the biggest - Becoming the best [presentation] Michał Michalak source 20
SEUGI 2001 Exploiting and extending the Multi Vendor Architecture [presentation] Achim Granzen source 52
SEUGI 2001 Intranet-based Information Delivery at Central-European International Bank [presentation] Eva Habori source 25
SEUGI 2001 Liquidity Monitoring and Analyses System V. E. Sorokoumov,
V. V. Konuzin,
V. V. Pakhomov
source 6
SEUGI 2001 Preventing surrender by holders of life insurance policies [presentation] Gerhard Braas source 20
SEUGI 2001 The SAS Solution for Enterprise Marketing Automation - Opening Session Demo [presentation] Nelle Schantz,
T. Randall Betancourt
source 43
SEUGI 2001 Uncovering Service Levels [presentation] Fabio Veronese source 26
SEUGI 2001 Web warehousing and data exploitation of accidents in working environments - ISPESL [presentation] Paolo Montanari source 33
SUGI 2001 Preemptive DATA CLEANING: Techniques Malachy J. Foley source 9
SUGI 2001 Singing Cowboys, Fast Horses, and Team Roping: Keeping SAS Users Calm and On The Trail John M. LaBore,
Melinda S. Rodgers,
Steven D. Randolph,
Eric A. Slinkard,
Paul A. Franklin
source 5
SUGI 2001 When PROC ACCESS Says NO to Excel 97/2000, DDE Says YES Still Eric T. Sun,
Eric Kammer
source 5
SESUG 2000 DATA CLEANING: Preemptive Techniques Malachy J. Foley source 9
SESUG 2000 Table Lookup via Direct Addressing: Key-Indexing, Bitmapping, Hashing Paul M. Dorfman source 11
MWSUG 2000 Removing Slag to Get the Ore: Preparing Data for Mining Thomas H. Burger,
Jerry E. Plaatje,
John M. LaBore
4
SEUGI 2000 A Finger on the Pulse of PROFILE [presentation] Matgorzata Wyrozumska,
Wiestaw Wysocki
source 17
SEUGI 2000 Enhance SAP step-by-step with Customer Relationship Management Functionality [presentation] Patrick Schünemann source 21
SEUGI 2000 Nissan European Aftersales: The Move from Legacy System to Data Warehouse [presentation] Jonathan Davies source 35
SEUGI 2000 Retail & E-tailing: From Customer Understanding to Target Marketing [presentation] Bernd Drewes source 49
SEUGI 2000 Risk Dimensions V3 Overview [presentation] Rik van de Weerthof source 28
SEUGI 2000 SAS and Web - Right information quality decision [presentation] Ivan Vrancic,
Jasmina Delic
source 48
SEUGI 2000 SAS Tools employed in analysing import activity influences on the home market based on the customes entry declarations [presentation] Pawel Trembacz,
Sebastian Prot
source 39
SEUGI 2000 Tracking research of public information campaigns in the Netherlands [presentation] Jaap Veenstra,
Marc Arnold
source 28
PharmaSUG 2000 Check Digits: Avoiding Errors in Clinical Trials Malachy J. Foley 5
NESUG 1999 Generalized Report Programming Techniques Using Data-Driven SAS Code Kathy Hardis Fraeman,
Karen G. Malley
7
NESUG 1999 Robust Programming Techniques in the SAS System Alice M. Cheng 10
SEUGI 1999 Principles of data warehousing in Zagrebacka banka [presentation] Ivan Vrancic source 28
SUGI 1999 Design and Deployment of a Web Application Using SAS/IntrNet Thomas H. Burger,
Richard W. Tucker,
John M. LaBore
source 6
SUGI 1999 Developing Standardized Requirements, Specifications and Programs for Clinical Trials Reports Deborah J. Harper,
Nancy Brucken,
Christopher Makowski
source 4
SUGI 1999 Outta Space with SAS Software? Philip R. Holland source 5
SUGI 1999 The Science and Art of Market Segmentation Using PROC FASTCLUS Mark E. Thompson source 5
MWSUG 1998 Web-Enabling a Scientific Laboratory Using SAS/IntrNet Thomas H. Burger,
Richard W. Tucker,
John M. LaBore
7
SEUGI 1998 Data Warehousing and application development using client/server computing Miroslav Orlovsky,
Veronika Hornikova
source 12
SEUGI 1998 Introduction to and Aims of the Project: Infocamere and Data Warehousing Stefano Corsi source 5
SEUGI 1998 The "Web-powered" Warehouse: a survival guide Roberto Gregori source 6
SEUGI 1998 Using SAS software in developing the regional economy and finance analysis and forecasting system Egor Liptchinski,
Maxim Emelenko
source 8
PharmaSUG 1998 Design and Deployment of a Web Application Using SAS/IntrNet Thomas H. Burger,
Richard W. Tucker,
John M. LaBore
7
PharmaSUG 1998 Designing Edit Check Subsystem in SAS/IntrNet James Sun,
Monmouth Junction
5
SUGI 1998 An Investigation of the Efficiency of SQL DML Operations Performed on an ORACLE DBMS using SAS/ACCESS Software Annie S. Guo source 5
SUGI 1998 Efficient Cross Database Data Transaction Processing Between SAS Software and Oracle using SAS Annie S. Guo source 6
SUGI 1998 Mining the Data Mart: A Case Study with Stock Market Data James A. Cox,
Tonya L. Etchison
source 11
NESUG 1997 Creating a PC-based Information System: An Evolutionary/Revolutionary Visionary Approach (Part II) Peter Parker,
R. Keith Daly
4
NESUG 1997 SAS/ACCESS Software: PROC ACCESS a Quick Start Guide Eric E. Engle 4
SESUG 1997 Creating a PC-based Information System: An Evolutionary/Revolutionary Visionary Approach (Part II) Peter Parker,
R. Keith Daly
4
SEUGI 1997 An atlas of mortality in Europe Bennie Bloemberg,
Gerda Doornbos
source 3
SEUGI 1997 Analytical information system for accident monitoring at the Russian transport Andrey Grishel,
Tatiana Voinova
source 40
SEUGI 1997 The data warehouse strategy of SPAR Handels AG Peter Albrecht source 26
SEUGI 1997 Using SAS software to forecast the results of the Russian parliamentary and presidential elections Igor Romanov source 27
PharmaSUG 1997 An Application of the Internet-based Automated Data Management System (IADMS) for a Multi-Site Public Health Project Michele G. Mandel,
Robert E. Schwartz Jr.,
Steven A. Kinchen
6
SUGI 1997 An Application of the Internet-based Automated Data Management System (IADMS) for a Multi-Site Public Health Project Michele G. Mandel,
Robert E. Schwartz Jr.,
Steven A. Kinchen
source 6
SESUG 1996 VMS Environment and SAS Language Applications: Getting the Best of Both Worlds M. Rita Thissen 11
NESUG 1996 Creating a PC-based Information System: An Evolutionary/Revolutionary Visionary Approach Peter Parker,
R. Keith Daly
6
SEUGI 1996 ADAS - Swissair's dynamic SAS/AF software aircraft data analysis program Peter Flach source 9
SEUGI 1996 Fully Integrated Systems for Clinical Development in the PharmaceuticalIndustry Andrew Lawton source 5
SUGI 1996 Creating a PC-based Information System: An Evolutionary/Revolutionary Visionary Approach Peter Parker,
R. Keith Daly
source 5
SEUGI 1995 A Concept on Data Delivery for Large Enterprisewide Information Systems Stephan Tobler source 14
SEUGI 1995 Hungarian Medium and Long-Term Forecasting System of Labour Supply and Demand Ferenc Lakó source 10
SEUGI 1995 Issues Facing IT Managers in Managing Enterprise-Wide Systems Claes Stahl source 12
SEUGI 1995 Statistical Production Databases Using the SAS System Silvia Sima source 14
SEUGI 1995 Through Versions and Platforms via Connect Eva Papp source 8
SUGI 1995 SAS Software and the Evolution of an Information Delivery System Hugh G. McCabe source 5
SESUG 1994 APPLICATIONS DEVELOPMENT An Implementation of SASe in an Environmental Information System Teresa James 6
SESUG 1994 HOST SYSTEMS How to Talk to Yourself Without Moving Your Lips and Other Secrets of Successful Cross Platform 3
SEUGI 1994 Mainframe Rightsizing Consider the RISCs Don Lutter source 9
SEUGI 1994 Starting with the SAS System in the Central Bureau of Statistics in Croatia Srdan Dumicic,
Zrinka Marusic
source 7
SUGI 1994 An Information System for All Users Built Using a Statistical Package on a Hacker's Paradise Platform Panagiotis S. Karalis source 6
SUGI 1994 Migrating to SAS 6.08 for Windows: The Merck CANDA Experience Frank S. Palmieri,
Rob Rosen,
Wanda Bidlack
source 6
MWSUG 1993 Moving from a Mainframe to a Server Roger Konyndyk 6
MWSUG 1993 SAS Software on the IBM RISC System/6000 Workstation - The Wave of the Future for Information Delivery Darius S. Baer 6
SEUGI 1993 BAVIS - the Badenia EIS Christian Horning source 8
SEUGI 1993 End-user Computing with the SAS System Luc Lefever source 7
SEUGI 1993 User-friendly Database Access with the SAS System Edit Maztenyi source 12
SUGI 1993 Double-Key Data Entry/Verification in SAS Software: Part of Downsizing a Clinical Data System to the OS/2 Operating System Barry R. Cohen source 7
SUGI 1993 Structured Systems Engineering and the SAS System: Godzilla Versus Megalon James E. Johnstone,
Stuart Leven
source 10
SESUG 1993 GETTING STARTED WITH EIS USING SAS/AF SOFfWARE Nancy D. Leslie 4
NESUG 1992 New Technology - Transforming a Mainframe System to the PC Using SAS/AF Software Beth A. Schlaline,
Henry F. DeLong Jr.,
Valerie J. Martin
6
SEUGI 1992 Running the Business: Financial Management with the SAS System Mats Röhfors source 3
SEUGI 1992 SAS Software on the IBM RISC System/6000 Workstation - The Wave of the Future for Information Delivery Darius S. Baer,
James L. Shefelbine
source 6
SEUGI 1992 Technical Background of the Revised Consumer Price Index Survey in the Hungarian Central Statistical Office Mariann Rudas source 7
SEUGI 1992 Using SAS/IML for Advanced Statistical Needs, With an Example on Credit Scorecard Building Lynne Pritchard,
Paul Chik
source 10
SUGI 1992 Beyond Executive Information Systems Neil H. Howard,
Richard W. La Valley
source 7
SUGI 1992 Developing Relational Database Interface Applications Using Version 6 SAS/FSP Software Suzanne D. McCoy,
Elizabeth F. Henrickson,
Bill Lawson
source 10
SUGI 1992 New Technology - Transforming a Mainframe System to the PC Using SAS/AF Software Henry F. DeLong Jr.,
Valerie J. Martin,
Beth A. Schlaline
source 5
SUGI 1992 Plotting with Mainframe Power and PC Flexibility in Version 6 of the SASSystem Tim Berryhill source 5
SUGI 1992 SAS Software on the IBM RISC System/6000 Workstation - The Wave of the Future for Information Delivery Darius S. Baer,
James L. Shefelbine
source 6
SUGI 1992 Some Considerations in Designing SAS-Based Data Management Systems for Large International Epidemiologic Studies Cynthia L. Johnson,
Michael Arrighi,
Priscilla E. Van Grevenhof,
Roger Mueller,
Laurel Panser,
Robert Lee,
C. Chute
source 9
SUGI 1992 The SQL Procedure as a Tool for Natural Language Processing Kurt Schmidt source 6
SUGI 1992 Using the SAS System for Medical Data Processing and Event Analysis: An Overview Harald Pitz,
Marcus Frenz,
Hans-Peter Howaldt
source 6
NESUG 1991 Customized In-House Training with a SAS Trainer's Kit Marcia S. Murto 5
NESUG 1991 How to Hire a Consultant Robert Virgile 3
SEUGI 1991 Experimenting with SAS System Release 6.04 and Windows 3 Otto Burman source 4
SEUGI 1991 Features of SAS/PH-Clinical Software Gerhard Held,
Patrick O'Donoghue
source 10
SEUGI 1991 Implementation of the SAS System in the Danish Fur Breeders Association Ejner Børsting,
Jesper Clausen
source 4
SUGI 1991 Designing a SAS Software Based System to Track Multistage Data Processing Tasks for Multiple Databases Laurie A. Cameron source 2
SUGI 1991 Introduction to Graphic Presentations Bruce L. Green source 3
SUGI 1991 Using SAS/AF Software, SCL, and the SAS Macro Language to Develop an Interactive Archival System Jerry Musial source 6
SEUGI 1990 Audit Trailing Using the SAS System Mark Crawford source 28
SEUGI 1990 DB2 and the SAS System - Information Delivery for the 1990s Darius S. Baer source 3
SUGI 1990 CBT versus Instructor-led Classes Margaret K. Schrempf source 2
SUGI 1990 Data Center Service Level Management System David B. Horne,
Raymond R. Messmer
source 6
SUGI 1990 DB2 and the SAS System - Information Delivery for the 1990s Darius S. Baer source 4
SUGI 1990 Solving 2,000 SAS Problems a Year. Help Desk Personnel - Solutions Faster Than a Speeding SAS User Robert G. Hall,
Catherine Loveless-Schmitt
source 3
SUGI 1990 Standards and Macros: The Keystroke Busters! Judy A. D. Alicante source 3
SUGI 1990 Using SAS/OR Project Management to Plan and Manage a Major Electric Generation Facility Outage Wayne G. Maruska source 6
SUGI 1989 An Introduction to Artificial Intelligences and the SAS System David B. Malkovsky,
H. John Maxwell
source 6
SUGI 1989 An Unofficial Owner's Manual for User Group Officers and the NESUG Experience Continues Hallett German,
Lowell Mercier,
Ray Pass
source 4
SUGI 1989 Application Development under SAS/SHARE Software Peter S. Dillingham source 3
SUGI 1989 Improving Performance in Statistical Analysis of Large Data Sets: Vector Processing of SAS Code Bruce Fogarty,
Leigh A. Ihnen
source 6
SUGI 1989 SAS Software and IBM Corporation's DB2: An End User Computing Strategy Thomas A. Miron source 4
SEUGI 1988 Using SAS/SQL-DS Software in the Information enter Environment Mogens Weinreich source 4
SUGI 1988 Changing Computing Environments in Midstream: You Can Lead a Horse to Water and Make It Drink J.E. Diem,
Alison Hartman
source 5
SUGI 1988 Information System Resource Management and Job Accounting in a Complex Network Environment Keith A. Jones source 5
SUGI 1988 Regional SAS Users Groups: The NESUG Experience Hallett German source 4
SUGI 1988 The Best of All Possible Worlds: Using the SAS System under MVS, PRIMOS, and MS/DOS Frederick E. Pratter source 6
SUGI 1988 Using SAS/OR Project Management to Plan and Manage a Major Electric Generation Facility Outage Wayne G. Maruska source 4
SUGI 1988 Using SAS/SQL-DSO "Software in the Information Center Environment Thomas C. Edds,
Cliff Schell
source 4
SUGI 1988 Workload and Revenue Projection for Computer Center Cost Recovery Systems Tim Carrico,
Nada Harris
source 9
SEUGI 1987 Replacing an Old Minicomputer System with a Micro-Mainframe Solutiong Using the SAS System Aale Roos source 4
SUGI 1987 A 'SAS UTM Projection for Geographical Information Systems Applications David J. Cowen,
James S. Roberts
source 6
SUGI 1987 Corporate and Area User Groups Charles E. Shipp source 4
SUGI 1987 Corporate Computing: A Working Blend of Mainframe, Mini, and Microcomputers E. Jeffrey Hutchinson source 5
SUGI 1987 Eight Key Questions on the Future Direction of Established SAS Hallett German source 5
SUGI 1987 Integrating Information System Technologies: Laser Printing, Model 204 DBMS, and the SAS System Judith H. Mopsik source 6
SUGI 1987 MVS Security and the Use of SAS Software to Gather SMF Data Bruce H. Blank,
Mike Mirabile
source 6
SUGI 1987 Training Support for the SAS System for Personal Computers Janine J. Huff source 3
SEUGI 1986 A SAS Installation's Critics Roland E. Forster source 6
SEUGI 1986 Management of Cancer Registry Data with SAS D. Bakker,
L. van deer Heijden
source 4
SUGI 1986 A SAS Based System for Calculating and Tracking Data Processing Error Rate Estimates Ellen Gilkerson,
Virginia Ozer
source 4
SUGI 1986 Evolution of a Multi-State Agency. SAS Users Group in Missouri Pamela Haverland source 3
SUGI 1986 Self Serve System Enio Presutto source 6
SUGI 1986 The Experiences of a Multi-State Agency Users Group in Developing a Series of Workshops on SAS Software Gail S. Olson source 3
SUGI 1986 The Use of the SAS System in the Development of the Production System for the Consumer Price Index (CPI) James E. Johnstone,
Merry G. Rabb,
Joshua Sharlin
source 5
SUGI 1986 User Standards: Who Needs Them? Roberta Armstrong source 10
SEUGI 1985 Data Analysis and the Information Centre Aale Roos source 5
SUGI 1985 Managing the Human Resource with the SAS System Cory Scott source 11
SUGI 1985 SAS-based Information Systems for Start-Up and Operation of Nuclear Power Plants Jacob C. Epperson source 10
SUGI 1985 Screen Creation - Automatic Generation of SAS Data Entry Screens Without a SAS Data Set as Input Berton Shankman source 5
SUGI 1985 Selecting Training for End Users Bill Marriott,
Jean Ussery
source 5
SUGI 1985 The Development of User Support Manuals for SAS Software: Some Guidelines David L. Masamitsu source 6
SUGI 1985 The Emerging SAS User and the Traditional DP Establishment Jim C. Knoop source 8
SUGI 1985 The User-written SAS PROC: An Evolutionary Tool in the Information Center Ronald G. Fleming source 4
SUGI 1985 Transportation Planning Support Information System-Using CMS EXEC2 to Execute SAS Macros in a Panel Driven Environment George Ramsey source 4
SUGI 1985 Usage of Base SAS and SAS/GRAPH Software for Distributor Sales Performance Rosanna Hodlik,
Mike Marvin
source 6
SUGI 1984 %Macro UPONE for Capitalizing the First Letter of Each Word Lawrence H. Muhlbaier,
Judith Stafford
source 2
SUGI 1984 DASD Management, An Overview of the Hows and Whys Stanley E. Rubinson source 6
SUGI 1984 Expert Based Training of SAS Users: Getting Productivity Fast Nelson R. Pardee source 3
SUGI 1984 Panel Discussion John C. Boling,
Mason B. Nichols
source 17
SUGI 1984 Panel Discussion of SAS Users under the AOS/VS Operating System Jon Fleig,
Jerry Harber,
Steve Sashihara
source 4
SUGI 1984 SAS Data Base Systems for Research and Development, Analysis and Data Collection Lee M. Schwartz source 6
SUGI 1984 The Information Center at BBL Microbiology Systems Patricia W. Botelle source 5
SUGI 1984 The SAS System as an Information Center Tool Patrick R. Timmins source
SUGI 1984 The Use of SAS Software in the 1DB E.F. Mastal,
G. W. Morrison,
K.J. Notz,
V.G. Trice
source 3
SEUGI 1983 Archival Storage of SAS Files Karsten Boye Rasmussen 8
SEUGI 1983 SAS as part of a Marketing Information System Peter Buete 16
SEUGI 1983 Using SAS to Perform Discounted Cash Flow Analysis Alan J. Knight 11
SUGI 1983 EASYTAST: A Complete Data Management System Using SAS and TSO/SPF for Target Animal Safety and Toxicity Studies Federick E. Livesay,
Robert L. Van Duyn
source 4
SUGI 1983 The Information Center-A Review of the Concept Robert H. Torgler source 8
SUGI 1983 Viewing SAS as an End user Language Steven R. Schacht source 5
SUGI 1982 A Proposal for the Contents of a Project Archive Ronald W. Helms,
James D. Hosking
source 8
SUGI 1982 A SAS Based Management Information Data Base Wayne B. Finley,
William C. Pannell
source
SUGI 1982 CAI: Computer Assisted Instruction for New SAS Users '82 Kirk Paul Lafler,
Clayton Stewart
source 4
SUGI 1982 Curriculum Approach to SAS Training Herbert J. Kirk source 3
SUGI 1982 Integration of IBM and Minicomputer Processors for SASApplications Larry W. Claflin,
Richard K. Keiser
source 3
SUGI 1982 Pesticides and SAS: Data Processing for EPA Monitoring Networks Dennis W. Herrin,
David C. Moazed,
David L. Myers,
Jeanne R. Pagano,
Deborah H. Whitehorne
source 6
SUGI 1982 SAS Video Training An Educational Perspective John C. Boling source 4
SUGI 1982 Using SAS to Bridge the Gap between Computer Science and Quantitative Methods David R. Dolkart source 3
SUGI 1982 Using SAS to Introduce University Administrators to Computing Andrew M. Smith source 3
SUGI 1982 Word Processing Using SAS Ross Merlin source 2
SUGI 1981 A Fisheries Data Base Utilizing SAS Leanna Pristash,
George Roth,
Dan Watson
source 4
SUGI 1981 Implementing a Computer Usage MIS Richard J. Nicola source 6
SUGI 1981 Implementing a SAS Census Data Collection System Alvin M. Best III,
C. Royce Claytor
source
SUGI 1981 Institutional Research and SAS Stephen Ahrens,
L. Robert Kuhn
source
SUGI 1981 On the Role of Redundant Information in Error Detection Ronald W. Helms source 5
SUGI 1981 Teaching SAS to Experienced Applications Systems Analysts Chapman P. Gleason source 3
SUGI 1980 A SAS Coloring Book as a Teaching Aid Franklin S. Young source 6
SUGI 1980 Management and Performance Reporting in an MVS Environment Mario M. Morino source
SUGI 1979 Environmental Data: Management and Analysis Considerations Rodney H. Strand source 6
SUGI 1979 Interfacing SAS with Mark IV Edward L. Spitznagel source 4
SUGI 1979 On-line System Report Generator Susan E. Bengtson,
Byron C. Lewis,
Richard Nelson
source 3
SUGI 1979 The "Critical Mass "Concept John F. Duffy source 4
SUGI 1979 The "Statistical Analysis System "as Implemented at EMBRAPA Dalton F. Andrade,
Cicero A. da Silva,
Enedino C. da Silva,
Gustavo M. Pimentel
source 4
SUGI 1979 Use of SAS-in the Development of a Management Information System in a Social Service.Agency Michael C. Choban,
Cynthia Deitz
source 4
SUGI 1978 History, Problems and Practical Applications of SAS in a Large Industrial Organization Maxine B. Potter source 4
SUGI 1978 Pinpointing Data with "DARTS " Mark R. Schultz source 5
SUGI 1978 SAS - The Necessary Utility for Computer Performance Evaluation and Control (CPEC) Mario M. Morino source 6
SUGI.ONE 1976 Meeting Federal Health Manpower Statistical System Requirements with SAS Steven R. Borbash source 17
SUGI.ONE 1976 Statistical and Data Support to a Heterogeneous User Community Marion C. Carter,
Richard C. Roistacher
source 14

Back to keywords