| 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 |