| PharmaSUG CN |
2026 |
Interactive Clinical Plot Gallery with Cross-Plot Subject Linking in R Shiny |
You (Lea) Lyu |
source |
10 |
| PharmaSUG |
2026 |
Be a Multi-Media Wizard: Make Your Output Dance and Sing |
LeRoy Bessler |
source |
49 |
| PharmaSUG |
2026 |
From Static Outputs to Living the Data - A Visualization framework transforming Clinical Data into a Continuous Asset |
Neharika Sharma |
source |
13 |
| PharmaSUG |
2026 |
Interactive Safety Data Visualization Platform: Transforming Adverse Event Analysis Review Through Dynamic Dashboards in Clinical Trials |
Nishanth Chinthala,
Alexandr Hromcenco |
source |
5 |
| PHUSE US |
2026 |
Detecting Trends Before They Appear: AI-Driven Visualisations in Clinical Trials |
Steven Tan |
source
presentation source |
6 |
| PHUSE US |
2026 |
Evolve Clinical Data Management: A Python-Based Framework for Clinical Data Transformation with Generative AI Integration |
Mitul Patel,
Denis Sokolov |
source
presentation source |
5 |
| PHUSE APAC |
2026 |
Enhancing Interpretation of Propensity Score Matching through Advanced Data Visualization in Real-World Studies |
KiranKumar Vyas,
Umayal Annamalai |
source
presentation source |
7 |
| PHUSE APAC |
2026 |
From Static to Interactive: A Comparative Evaluation of ggplot2 and Plotly in Clinical Data Visualisation |
Mugdha Joshi |
source
presentation source |
8 |
| PHUSE APAC |
2026 |
Harnessing Real-World Evidence and Data Visualisation to Improve Clinical Development and Accelerate Patient-Centric, Insight-Driven Decision-Making [presentation] |
Mujeebuddin Shaik |
source |
20 |
| PHUSE APAC |
2026 |
Leveraging Julia for Advanced Data Visualization in Pharmaceutical Research |
Ranjeet Kumar,
Bristol Myers Squibb,
Deepak Vaishnav,
Bristol Myers Squibb |
source
presentation source |
5 |
| PHUSE APAC |
2026 |
RbQM: An Intersection of Cross-Functional Collaboration of Clinical, Analytics, Statistics and Technology Domains for Better Clinical Trial Governance |
Abhishek Ghosh |
source
presentation source |
10 |
| PHUSE EU |
2025 |
Advancing Automated Non-Compartmental Analysis with R Shiny |
Jana Spinner,
Gerardo Rodriguez |
source
presentation source |
9 |
| PHUSE EU |
2025 |
Cracking the Curve: Unlocking Clinical Insights with Ridgeline Plots |
Mariam Babayan,
Rafik Ghazaryan |
source
presentation source |
6 |
| PHUSE EU |
2025 |
Fit-For-Purpose Approach of RBQM in Small Clinical Trials [presentation] |
Alicja Mark,
Agnes Verhoeven |
source |
15 |
| PHUSE EU |
2025 |
Interactive Exploration of Top Line Results: Integrating DaVinci with Teal |
Fabian Roethleithner,
Isabel Glauss |
source
presentation source |
5 |
| PHUSE EU |
2025 |
Navigating Anonymous Employee Feedback: A Managers Guide to Constructive Action |
Lynn Clipstone |
source
presentation source |
4 |
| PHUSE EU |
2025 |
Revolutionising Clinical Trial Monitoring and Data Analysis with AR- and VR-Driven Immersive Analytics |
Tej Narayan Yadav,
Saurabh Das |
source
presentation source |
7 |
| PHUSE EU |
2025 |
The {teal} Framework Updates: How Open Source and Cross-Industry Collaboration Benefit Everyone! |
Peyman Eshghi,
Paul Jenkins |
source
presentation source |
12 |
| PHUSE EU |
2025 |
Using Visual Dashboards to Improve Data Accuracy |
Daniel Smith |
source
poster source |
8 |
| MWSUG |
2025 |
COVID-19 Explored Using SAS and ODS Graphics: InfoGeographic and Data Graphic Analysis & Pictures [presentation] |
LeRoy Bessler |
source |
78 |
| MWSUG |
2025 |
GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination |
Troy Martin Hughes |
source |
28 |
| SESUG |
2025 |
Efficacy + Safety in Phase 1/2 Immunotherapy Oncology Trials: OBD vs. MTD |
Ron Smith |
|
8 |
| PharmaSUG |
2025 |
An Introduction to the Role of Statistical Programming in Medical Affairs |
Nagadip Rao |
source |
9 |
| PharmaSUG |
2025 |
Efficiently Creating Multiple Graphs on One Page utilizing SAS: Comparing PROC GREPLAY and ODS LAYOUT Approaches |
Jenny H. Zhang |
source |
8 |
| PharmaSUG |
2025 |
Leveraging Gen AI (ChatGPT, Gemini) API for Advanced Biometric Analysis in SAS, Python and R |
Kevin Lee |
source |
10 |
| PharmaSUG |
2025 |
Promising Zone Designs for Sample Size Re-estimation in Clinical Trials: Graphical Approaches Using SAS |
Zhao Yang,
Shivani Nanda |
source |
18 |
| PharmaSUG |
2025 |
Shining a Light on Adverse Event Monitoring with R Shiny |
Abigail Zysk,
Joe Lorenz |
source |
10 |
| PharmaSUG |
2025 |
The Current State of Teaching Biostatistics in Academia: Challenges and Software Solutions |
Lida Gharibvand |
source |
5 |
| PharmaSUG |
2025 |
Visualizing oncology data through 3D bar charts in R and Python |
Girish Kankipati,
Venkatesulu Salla |
source |
18 |
| PharmaSUG |
2025 |
Zero to Hero: The Making of a Comprehensive R Shiny Figures App |
Yi Guo,
Matthew Salzano,
Nicholas Sun,
Sean Healey |
source |
30 |
| PHUSE US |
2025 |
Harnessing the Power of R Shiny in a GxP-Compliant and Validated Manner for Clinical Trial Use |
Sanyogeeta Andhale,
Shilpa Sood |
source
presentation source |
13 |
| PHUSE US |
2025 |
Integration of AI with R Studio: Advantages and Disadvantages |
Mahesh Minnakanti,
Karthikrao Perala |
source
presentation source |
8 |
| PHUSE US |
2025 |
Learning by Doing: Empowering Professional Growth Through Collaborative Python Automation |
Azadeh Gilanpour,
Vanessa Chavez |
source
presentation source |
11 |
| 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 |
Risk Based Quality Management (RBQM) in Clinical Data Management |
Marcin Kot,
Anna Górecka |
source
presentation source |
9 |
| PHUSE EU |
2024 |
R Shiny: From Code to Cloud |
Abu Sami |
source
presentation source |
12 |
| PHUSE EU |
2024 |
SAIL.R: A Journey Towards R Software at Johnson & Johnson - A Training Perspective |
Yannick Vandendijck |
source
presentation source |
10 |
| PHUSE EU |
2024 |
Transparent ggplot2: Enhancing Reproducibility with ggcall |
Maciej Nasinski |
source
presentation source |
6 |
| SESUG |
2024 |
SAS and Python can complement each other in statistical modeling |
Valentina Grouverman,
Lindzee Smith |
source |
5 |
| WUSS |
2024 |
Benefits, Challenges, and Opportunities with SAS and Open-Source Software (OSS) Integration [presentation] |
Kirk Paul Lafler,
Ryan Paul Lafler,
Joshua J. Cook,
Stephen B. Sloan,
Anna T. K. Wade |
source |
33 |
| WUSS |
2024 |
SAS Visual Analytics a low code no code approach to dashboard reporting [presentation] |
Charu Shankar |
source |
56 |
| PharmaSUG CN |
2024 |
Enhancing Patient Profile Visualization through Clustering Algorithms: An Exploration of Smart Data Presentation Techniques |
Zhengyuan Wen,
Kang Zhao |
source |
8 |
| PharmaSUG |
2024 |
A 'Shiny' New Perspective: Unveiling Next-Generation Patient Profiles for Medical and Safety Monitoring |
Helena Belloff,
William Lee,
Melanie Hullings |
source |
8 |
| PharmaSUG |
2024 |
Automation and integration of data visualization using R ESQUISSE & R SHINY |
Vijayakumar Radhakrishnan,
Nithiyanandhan Ananthakrishnan |
source |
6 |
| PharmaSUG |
2024 |
Comparing SAS and R Approaches in Creating Multicell Dot Plots in Statistical Programming |
Yi Guo |
source |
14 |
| PharmaSUG |
2024 |
Piloting data visualization and reporting with Rshiny apps |
Yun Ma,
Yifan Han |
source |
7 |
| PharmaSUG |
2024 |
Quarto 1.4: Revolutionizing Open-source Dashboarding Capabilities |
Joshua J. Cook,
Kirk Paul Lafler |
source |
17 |
| PharmaSUG |
2024 |
Submitting Patient-Reported Outcome Data in Cancer Clinical Trials - Guidance for Industry Technical Specifications Document [presentation] |
Flora Mulkey |
source |
48 |
| PHUSE US |
2024 |
Constructing Multilingual Visualisation Toolsets for Clinical Study Reports and Submission |
Jane X. Liao,
Bingjun Wang |
source
presentation source |
13 |
| PHUSE US |
2024 |
Translating Data into Tableau Insights: Bridging the Gap Between Programmers and Medical Physicians |
Agnieszka Bel |
source
presentation source |
7 |
| PHUSE EU |
2023 |
Expanding Visual Clarity: Multi-Page Figure Partitioning and Adaptive Zero-Value Depiction Using PROC SGPLOT |
Yeghishe Grigoryan,
Arman Melkonyan |
source
presentation source |
6 |
| PHUSE EU |
2023 |
Get the Full Picture of Your Data with SAS |
Andy Bayliss |
source
presentation source |
13 |
| PHUSE EU |
2023 |
How Can Python Be Used in Clinical Trials? |
Andrés Käsa,
Matt Davies,
Pierre Dostie |
source
presentation source |
21 |
| PHUSE EU |
2023 |
Patient Profiles v2.0: Easy and Quick Clinical Trial Insights in Tableau |
Roman Radelicki,
Annelies Van Zeveren |
source
presentation source |
6 |
| PHUSE EU |
2023 |
When the Post(er)man Rings Twice - Make Your Science Sexy |
Josua Böser |
source
presentation source |
11 |
| WUSS |
2023 |
From Interactive Mapmaking to Beautiful Geospatial Visualizations: Harnessing the Power of Python and Google Earth Engine for Extracting, Analyzing, and Visualizing High Resolution Spatiotemporal Data |
Ryan Paul Lafler,
Anna T. K. Wade |
source |
23 |
| SESUG |
2023 |
Translating Common Data Visualizations from PROC SGPLOT to ggplot2 |
Austin R. Brown |
source |
11 |
| SESUG |
2023 |
Using SAS In Generating Multi-Jurisdictional Reports for U.S. Retail Industries' Employment Trends |
Abdullah Khan |
source |
21 |
| PharmaSUG |
2023 |
OCS Update: OCS Clinical Services & the Traceability Assessment |
Jesse Anderson |
source |
25 |
| PharmaSUG |
2023 |
RESTful Thinking: Using R Shiny and Python to streamline REST API requests and visualize REST API responses |
Laura Elliott,
Crystal Cheng |
source |
9 |
| PHUSE US |
2023 |
Approachable and Scalable Web Application Solutions Using Shiny for Python and R Shiny in the Pharmaceutical Industry |
Vikash Jain,
Denny Sebastian |
source
presentation source |
9 |
| PHUSE US |
2023 |
DV-04 |
Unifying RECIST |
source
presentation source |
5 |
| PHUSE US |
2023 |
Graph Designer: An R Shiny Application to Create Publication-quality Graphs in Minutes |
Mukul K Mittal |
source
presentation source |
10 |
| PHUSE US |
2023 |
How to Customize Survival Curves in R and Add Interactivity |
Oleksandr Babych |
source
presentation source |
9 |
| PHUSE EU |
2022 |
Interactive Data Visualisation for Faster and Improved Data Insights [presentation] |
Markus Niederstrasser |
source
video |
38 |
| SAS Explore |
2022 |
Embed Data Visualizations in Webpages and Delivered at Scale [video] |
Brad Morris |
source
youtube |
|
| WUSS |
2022 |
GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination and Supplant SAS PROC GINSIDE |
Troy Martin Hughes |
source |
28 |
| PharmaSUG |
2022 |
GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination and Supplant SAS PROC GINSIDE |
Troy Martin Hughes |
source |
28 |
| PharmaSUG |
2022 |
R And SAS in Analysis Data Reviewer's Guide and Data Visualization |
Fan Lin |
source |
11 |
| PHUSE US |
2022 |
Expand Your Insights by Utilizing Open-source Data Visualizations within Power BI [poster] |
Christopher C. Hurley |
source |
1 |
| PHUSE US |
2022 |
Just Say No to Data Listings! [poster] |
Maria Dalton |
source |
1 |
| PHUSE US |
2022 |
Real-time Interactive Dashboard for Clinical Trials [presentation] |
Kris Liu |
source |
9 |
| PHUSE EU |
2021 |
Learnings Using R for Creating CDISC Data for Analysis and Reporting Purposes! [presentation] |
Gustav Söderström,
Nicole Major |
source
video |
23 |
| SESUG |
2021 |
GIS Challenges of Cataloging Catastrophes: Serving up GeoWaffles with a Side of Hash Tables to Conquer Big Data Point-in-Polygon Determination and Supplant SAS PROC GINSIDE |
Troy Martin Hughes |
source |
28 |
| PHUSE US |
2021 |
CO Hands-on Workshop: COVID Data Access to Analysis with Power BI [presentation] |
Aditya Gadiko,
Christopher C. Hurley |
source
video |
94 |
| PHUSE US |
2021 |
COVID-19 Presentation: CO01: Harnessing the Power of Shiny to Visualize Missing Data due to the COVID-19 Pandemic [presentation] |
Mark Rothe,
Sangeeta Bhattacharya |
source |
13 |
| PHUSE US |
2021 |
Data Visualizations for Publication, Decision-making and Submission [presentation] |
Maria Dalton |
source
video |
18 |
| PHUSE US |
2021 |
Table-based Data Visualizations Using R [presentation] |
Matthew Kumar |
source
video |
26 |
| PHUSE US |
2021 |
Visualizations to Support DSMB Monitoring [presentation] |
Derek Coombs |
source
video |
14 |
| PharmaSUG |
2021 |
Data Visualization in Real World Data (RWD) and Health Economics Outcomes Research (HEOR) using (Statistical Analysis Software) SAS |
Swapna Ambati |
source |
45 |
| PharmaSUG |
2021 |
Data Visualization Using GANNO, GMAP and GREMOVE to Map Data onto the Human Body |
Rui Huang,
Toshio Kimura,
Jennifer McGinniss |
source |
12 |
| PharmaSUG |
2021 |
Visually Exploring Proximity Analyses Using SAS PROC GEOCODE and SGMAP and Public Use Data Sets |
Louise S. Hadden |
source |
18 |
| SGF |
2021 |
Hello Graphics World: Basic Charts in SAS, R and Python |
Ted Conway |
source
presentation |
11 |
| PHUSE EU |
2020 |
Make your data come alive |
Babych Oleksandr |
source
video
presentation source |
11 |
| PHUSE EU |
2020 |
Pandemics: Data Evolution and Visualisation |
Poojitha Mandava,
Sri gouri vasuki Bikkina |
source
video
presentation source |
5 |
| PHUSE EU |
2020 |
Power BI in Clinical Data Exploration: Powerful Visuals that Answer Relevant Questions |
Roxane Debrus |
source
video
presentation source |
11 |
| PHUSE EU |
2020 |
Turning Static Tables into Interactive Visualisations Using R Shiny [presentation] |
Thomas Neitmann |
source
video |
11 |
| SGF |
2020 |
Best Practices for Effective Infographics in SAS Visual Analytics |
Falko Schulz |
source |
26 |
| SGF |
2020 |
Language Lessons for Data-Driven Decisions: Achieving Data Literacy |
Emma Warrillow |
source |
8 |
| SGF |
2020 |
Making Data Actionable: From Concept to Reality |
Joseph W. Perez |
source |
11 |
| SGF |
2020 |
My Sharky Secrets for Telling Fabulous Data Stories |
Patricia S. Aanderud,
Jaime D'Agord |
source |
19 |
| SGF |
2020 |
Section 508 and Maps: Breaking Down Barriers for People with Visual Impairments or Blindness |
Ed Summers,
Sean Mealin |
source |
8 |
| SGF |
2020 |
Stepping Up Your SAS Output Delivery System Graphics Game |
Sara Richter |
source |
28 |
| SGF |
2020 |
Tell Me A Different Data Story |
Kat Greenbrook |
source |
7 |
| SGF |
2020 |
Using SAS Visual Analytics Reports for Operational Reporting in Clinical Trials |
Jun Wen,
Jack Shostak |
source |
17 |
| SGF |
2020 |
Using SAS9API and R to Create Violin Plots, Interactive 3D Plots, and a Shiny App for SAS Data Sets [presentation] |
Olga Pavlova |
source |
7 |
| PharmaSUG |
2020 |
Effective Exposure-Response Data Visualization and Report by Combining the Power of R , SAS programming and VBScript |
Shuozhi Zuo,
Hong Yan |
source |
11 |
| PharmaSUG |
2020 |
R for Clinical Reporting, Yes - Let's Explore it! |
Hao Meng,
Yating Gu,
Yeshashwini Chenna |
source |
16 |
| PharmaSUG |
2020 |
Special Plots methods with diabetes disease data |
Yida Bao,
Zheran Wang,
Jingping Guo,
Philippe Gaillard |
source |
10 |
| PHUSE US |
2020 |
A Visualization approach for Clinical Trials with Digital Data |
Siddharth Kumar Lokineni |
source
presentation source |
6 |
| PHUSE US |
2020 |
An Interactive Visualization Application for Patient-reported Outcomes with Spotfire |
Matt Buckley |
source
presentation source |
5 |
| PHUSE US |
2020 |
Best Practice for Interactive Analysis for Decision-making: An update from PHUSE Data Visualization Project |
Xiangyun Wang,
Zachary Skrivanek |
source |
11 |
| PHUSE US |
2020 |
Visualizing Tumor Response Data Using ggplot2 R Package with Examples |
Christine S Teng |
source
presentation source |
13 |
| PHUSE EU |
2019 |
Data Visualization: Where to start? |
Emma Moore,
Welwyn Garden |
source
presentation source |
4 |
| WUSS |
2019 |
Modern Data Visualization and Presentation: for SAS users |
Jay Ahn |
source |
9 |
| WUSS |
2019 |
Simple Steps for Great Graphics: Beyond the Default Settings for More Effective Data Visualization |
Simple Steps,
Kristi Busico Metzger |
source |
8 |
| WUSS |
2019 |
Using SAS Visual Analytics to Effectively Visualize Health Care Data |
Scott P. Leslie |
source |
5 |
| PharmaSUG |
2019 |
Create Interactive Data Visualizations for Clinical Data Review Using Base SAS and Javascript |
Raj Kiran Boddu |
source |
12 |
| PharmaSUG |
2019 |
F2Plots: Visualizing relative treatment effects in cancer clinical trials |
Yellareddy Badduri |
source |
9 |
| PharmaSUG |
2019 |
Heat Map and Map Chart using TIBCO Spotfire |
Ajay Gupta |
source |
14 |
| PharmaSUG |
2019 |
Interactive TLFs - A Smarter Way to Review your Statistical Outputs |
Bhavin Busa |
source |
5 |
| PharmaSUG |
2019 |
The Power of Data Visualization in R |
Oleksandr Babych |
source |
21 |
| SGF |
2019 |
Color Your Experience: Crafting Appealing Themes Using SAS Theme Designer |
Lora Edwards,
Lisa Everdyke,
Corey Benson |
source |
15 |
| SGF |
2019 |
Designing and Sustaining a Successful Student Led Program |
Bonnie Chapman,
Nick Armstrong |
source |
6 |
| SGF |
2019 |
Kustomizing Your Viya Engine Using SAS Studio Custom Tasks and D3.js |
Elliot Inman,
Ryan West,
Olivia Wright |
source |
16 |
| SGF |
2019 |
Tell Me a Data Story |
Kat Greenbrook |
source |
8 |
| PHUSE US |
2019 |
2018 Clinical Data Landscape Survey |
James McDermott,
Guy R. Garrett |
source
presentation source |
12 |
| PHUSE US |
2019 |
Auto Charts - Hidden Gem in SAS ODS Graphics Designer |
Max Cherny |
source
presentation source |
8 |
| PHUSE US |
2019 |
Interactive Visualization of SEND Clinical Pathology Data Using R Shiny |
Kevin Snyder |
source
presentation source |
8 |
| PHUSE US |
2019 |
Metadata Framework for Script Repository and Development |
Vara Prasad Reddy Sakampally,
Hanming Tu |
source
poster source |
10 |
| PHUSE US |
2019 |
Metadata-driven Automation in Drug Research |
Hanming Tu,
Zhongping Lin |
source
presentation source |
13 |
| PHUSE US |
2019 |
Proof of Concept (PoC) Development of Safety Visual Analytics (SVA) Using R Shiny and SAS |
Rinki Jajoo |
source
presentation source |
9 |
| PHUSE US |
2019 |
R and Python Differences, Techniques and Challenges for SAS Programmers |
Murali Neela |
source
presentation source |
20 |
| PHUSE US |
2019 |
The Implementation of Spotfire in Clinical Trials to Review Safety and Patient Reported Outcomes Data |
Jingyuan Chen,
Wenyi Liu |
source
presentation source |
6 |
| PHUSE US |
2019 |
Voice-based Clinical Monitoring Assistant |
Anoop Ambika |
source
presentation source |
7 |
| SCSUG |
2018 |
Simple Steps for Great Graphics: Beyond the Default Settings for More Effective Data Visualization |
Kristi Busico Metzger |
source |
10 |
| PHUSE EU |
2018 |
2018 Clinical Data Landscape Survey |
James McDermott,
Dante Di Tommaso |
source
presentation source |
12 |
| PHUSE EU |
2018 |
Data Visualisation in a Risk-Based Approach to Support Decision-making |
Joke De Wever,
Irina Sargsyan |
source
presentation source |
12 |
| PHUSE EU |
2018 |
Effective Data Modeling for Effective Data Visualisation |
Eva Kelty,
Peter Tormay |
source
presentation source |
5 |
| SESUG |
2018 |
Opportunities and Challenges of Visual Business Intelligence Course for MBA Students |
MBA Students |
source |
5 |
| SESUG |
2018 |
Redesigning Project Management Within Institutional Research in a SAS Environment |
Andre Watts |
source |
5 |
| WUSS |
2018 |
Analyzing international assessments: An ensemble and model comparison approach |
Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara |
source |
13 |
| WUSS |
2018 |
When the Mean Isn't Enough: Methods for Assessing Individual Differences using SAS |
Melissa McTernan |
source |
8 |
| PHUSE US |
2018 |
Building Dashboards for Real-time Insights into Clinical Data |
Bhavin Busa,
Siddartha Kondapally |
source |
6 |
| PHUSE US |
2018 |
Can Clinical Trial Datasets (CDSIC - SDTM/ADaM) be Generated Using R? |
Prasanna Murugesan |
source
presentation source |
3 |
| PHUSE US |
2018 |
Clinical Timelines Visualized |
Spencer Childress,
Jeremy Wildfire |
source
presentation source |
6 |
| PHUSE US |
2018 |
Insights to Meticulous Clean Patient Tracking via Analytics |
Kishore Pothuri,
Siddartha Kondapally |
source |
4 |
| PHUSE US |
2018 |
Understanding the Power of Information Modeling for Efficient and Effective Visualization |
Michael Rubison,
Eva Kelty |
source
poster source |
6 |
| PHUSE US |
2018 |
Web Codebooks - Interactive Data Summaries for Clinical Trial Data |
Jeremy Wildfire,
Spencer Childress |
source
presentation source |
6 |
| PharmaSUG |
2018 |
Insights to Meticulous Clean Patient Tracking via Analytics |
Siddartha Kondapally,
Kishore Pothuri,
Bhavin Busa |
source |
4 |
| PharmaSUG |
2018 |
Instant Gratification: Calculating Resource Needs Based on Operational Data using an Interactive Tool |
Melissa Hill,
Baker Bill |
source |
9 |
| PharmaSUG |
2018 |
Telling Stories with Jupyter Notebook |
Kevin Lee |
source |
14 |
| PharmaSUG |
2018 |
The Changing Clinical Data Analytics Landscape - Visualization & Beyond |
Siddartha Kondapally,
Kishore Pothuri,
Bhavin Busa |
source |
6 |
| SGF |
2018 |
Accessibility and ODS Graphics: Seven Simple Steps to Section 508 Compliance Using SAS 9.4M5 |
Ed Summers,
Julianna Langston,
Dan Heath |
source |
13 |
| SGF |
2018 |
Data Visualization from SAS to Google Maps on Microsoft SharePoint |
Xiaogang Tang |
source |
13 |
| SGF |
2018 |
Innovating Government Decision-Making through Analytics |
Steve Bennett |
source |
19 |
| SGF |
2018 |
Supercharge Your Dashboards with Infographic Concepts Using SAS Visual Analytics |
Travis Murphy,
Falko Schulz |
source |
29 |
| SESUG |
2017 |
Clinical Data Visualization using TIBCO Spotfire and SAS |
Ajay Gupta |
source |
12 |
| SESUG |
2017 |
Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency |
Kirk Paul Lafler |
source |
10 |
| SESUG |
2017 |
You as a Brand: Tips for Managing Your Data Career |
Patricia S. Aanderud |
source |
5 |
| SCSUG |
2017 |
Data Analysis and Storytelling - Communicating Analytical Results with Clarity, Precision and Efficiency |
Kirk Paul Lafler |
source |
10 |
| PHUSE EU |
2017 |
Dipping our Fingers into the World of Data Representation - A Visual Journey Using Encapsia Clinica |
Minola Ilica |
source
presentation source |
4 |
| PHUSE EU |
2017 |
Metadata-driven Tool for Creation of a Dataset for Exploratory Analyses |
Alexey Kuznetsov |
source
presentation source |
7 |
| PHUSE EU |
2017 |
Visualizing Multiple Endpoints: Extending the Use of Forest Plots in Clinical Trials |
James R. Johnson,
Mark Jaros |
source
presentation source |
10 |
| MWSUG |
2017 |
Data Can Be Beautiful: Crafting a Compelling Story with SAS Visual Analytics |
Cheryl L. Coyle |
|
20 |
| WUSS |
2017 |
Identifying Unforeseen Strains on Local Health Care Ecosystems |
Evan Wallis |
source |
7 |
| PharmaSUG |
2017 |
Clinical Data Visualization using TIBCO Spotfire and SAS |
Ajay Gupta |
source |
12 |
| PharmaSUG |
2017 |
Effective Ways to Perfect the Visualization of Clinical Trial Results |
Amos Shu |
source |
6 |
| SGF |
2017 |
Accessibility and SAS University Edition: Tips for Students and Professors |
Ed Summers,
Amy Peters |
source |
7 |
| SGF |
2017 |
Data Can Be Beautiful: Crafting a Compelling Story with SAS Visual Analytics |
Cheryl L. Coyle,
Mark Malek,
Chelsea Mayse,
Vaidehi Patil,
Sierra Shell |
source |
20 |
| SGF |
2017 |
Data Visualization from SAS to Microsoft SharePoint |
Xiaogang Tang |
source |
14 |
| SGF |
2017 |
It All Started with a Mouse: Storytelling with SAS Visual Analytics |
Tuesdi Helbig |
source |
16 |
| SESUG |
2016 |
Color Speaks Louder than Words |
Color Speaks Louder |
source |
10 |
| SESUG |
2016 |
Proc Report, the Graph Template Language, and ODS Layouts: Used in Unison to Create Dynamic, Customer-Ready PowerPoints |
Amber Carlson |
source |
12 |
| SESUG |
2016 |
Success Takes Balance: Don't Fall Over with Your SAS Visual Analytics Implementation |
Craig Willis,
Ryan Kumpfmiller,
Patricia S. Aanderud |
source |
7 |
| PHUSE EU |
2016 |
Concepts and Strategies for Developing Effective Data Visualisation |
Rebecca Bates |
source |
5 |
| PHUSE EU |
2016 |
encapsia - Providing Real-time, Interactive Visualisations of Clinical Data [presentation] |
Jon Carter |
source |
9 |
| SGF |
2016 |
Becoming a Unicorn, a Leprechaun, or a Good Marketing Analyst: Fairy Tales Really Can Come True |
Emma Warrillow |
source |
9 |
| SGF |
2016 |
Case Study: SAS Visual Analytics Dashboard for Pollution Analysis |
Viraj R Kumbhakarna |
source |
12 |
| SGF |
2016 |
Generating Color Scales in SAS: 256 Shades of RGB |
Jeff Grant,
Mahmoud Mamlouk |
source
pdf |
16 |
| SGF |
2016 |
Infographics Powered by SAS Visual Analytics and SAS Office Analytics |
Travis Murphy |
source |
15 |
| SGF |
2016 |
Releasing the Power of SAS into Microsoft SharePoint |
Xiaogang Tang |
source
zip |
8 |
| MWSUG |
2015 |
Plotting LSMEANS and Differences in Generalized Linear Models with GTL |
Robin High |
|
9 |
| PHUSE EU |
2015 |
Future Drug Applications with No Tables, Listings and Graphs? |
Kirsten Langendorf |
source
presentation source |
5 |
| PHUSE EU |
2015 |
The Technology of Context |
Ian Fleming,
John Leveille |
source
presentation source |
52 |
| 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 |
How to Become the MacGyver of Data Visualizations |
Patricia S. Aanderud |
source |
11 |
| SESUG |
2015 |
How We Visualize Data and How to Apply Those Findings in SAS Visual Analytics |
Ryan Kumpfmiller |
source |
7 |
| WUSS |
2015 |
Illustrating preliminary procedures for multi-dimensional item response theory |
Chong Ho Yu,
Samantha Douglas,
Anna Yu |
source |
11 |
| PharmaSUG |
2015 |
Looking at the Big Picture - Snapshots of Patient Health in SAS |
Ruth Kurtycz |
source |
24 |
| PharmaSUG |
2015 |
Using SAS to Analyze the Impact of the Affordable Care Act |
John J. Cohen,
Meenal (Mona) Sinha |
source |
12 |
| SGF |
2015 |
How to Tell the Best Story with Your Data Using SAS Visual Analytics Graph Builder |
Travis Murphy |
source |
23 |
| SGF |
2015 |
Privacy, Transparency, and Quality Improvement in the Era of Big Data and Health Care Reform |
Paul Gorrell |
source |
9 |
| SESUG |
2014 |
Integrating SAS with JMP to Build an Interactive Application |
Marve Gurlu |
source |
16 |
| SESUG |
2014 |
Using SAS to Analyze the Impact of the Affordable Care Act |
John J. Cohen |
source |
12 |
| PHUSE EU |
2014 |
Interactive Data Visualisation of Adverse Event Clinical Trial Data with the D3.js. Script Library |
Johann Laurent,
Hugh McDevitt |
source
presentation source |
5 |
| PHUSE EU |
2014 |
Leveraging R And Shiny for Point and Click ADaM Analysis [presentation] |
Ian Fleming |
source |
10 |
| PHUSE EU |
2014 |
Medical Data Review and Exploratory Data Analysis using Data Visualisation |
Joel Allen,
Vinod Kerai |
source
presentation source |
4 |
| MWSUG |
2014 |
Conquering Big Data Analytics with SAS, Teradata and Hadoop |
John Cunningham,
Tho H. Nguyen,
Paul Segal |
|
10 |
| WUSS |
2014 |
Conquering Big Data Analytics Challenges with SAS, Teradata and Hadoop |
Tho H. Nguyen,
Paul Segal,
John Cunningham |
source |
10 |
| SGF |
2014 |
Big Digital Data, Analytic Visualization, and the Opportunity of Digital Intelligence |
Suneel Grover |
source |
17 |
| SGF |
2014 |
CMS Core Measures, the Affordable Care Act, and SAS Visual Analytics |
Joe Whitehurst,
Diane Hatcher |
source |
16 |
| SGF |
2014 |
Data Visualization in Health Care: Optimizing the Utility of Claims Data through Visual Analysis |
Krisa Tailor |
source |
16 |
| SGF |
2014 |
Designing for the Mobile Workforce |
Peter Ina,
Khaliah Cothran |
source |
9 |
| SGF |
2014 |
Plotting Differences Among LS-means in Generalized Linear Models |
Robin High |
source |
14 |
| SGF |
2014 |
Using SAS to Analyze the Impact of the Affordable Care Act |
John J. Cohen,
Meenal Sinha |
source |
12 |
| WUSS |
2013 |
Make a Good Graph |
Sanjay N. Matange |
source |
16 |
| MWSUG |
2013 |
JMP, and JMP Training: a Panel Discussion |
Charles E. Shipp |
|
2 |
| NESUG |
2013 |
Make a Good Graph |
Sanjay N. Matange |
|
16 |
| PharmaSUG |
2013 |
A Picture is worth 3000 words!! 3D Visualization using SAS |
Suhas R. Sanjee |
source |
6 |
| PharmaSUG |
2013 |
JMP versus JMP Clinical for Interactive Visualization of Clinical Trials Data |
Doug Robinson,
Jordan Hiller |
source |
11 |
| SGF |
2013 |
A Beginner's Introduction to an Idiot's Guide to PROC TEMPLATE and GTL for Dummies |
Christopher Battiston |
source |
14 |
| SGF |
2013 |
Introducing and Producing Thunderstorm or Rain-drop Scatter Plots Using the SAS/GRAPH Annotate Facility |
Charlie Liu |
source |
13 |
| SGF |
2013 |
Make a Good Graph |
Sanjay N. Matange |
source |
16 |
| NESUG |
2012 |
Using SAS to Test, Probe and Display Interaction Effects in Regression |
Timothy Gravelle |
|
16 |
| PHUSE EU |
2012 |
Medical Data Review and Exploratory Data Analysis using Data Visualization |
Vinod Kerai |
source
poster source |
6 |
| SESUG |
2012 |
A Randomization Test SAS/IML Program for Making Treatment Effects Inferences for Extensions and Variations of ABAB Single-Case Experimental Designs |
Patricia Rodríguez de Gil,
John M. Ferron |
source |
8 |
| MWSUG |
2012 |
Quick Results with SAS ODS Graphics Designer |
Sanjay N. Matange |
|
6 |
| MWSUG |
2012 |
Van Gogh Your Data: Data Visualization Methods with SAS Business Intelligence |
Natalie Parsons,
Scott W. McQuiggan |
|
6 |
| WUSS |
2012 |
How Do Child Support Order Amounts Affect Payments and Compliance? |
Mark Takayesu |
source |
12 |
| SGF |
2012 |
Sparklines in the DATA Step Graphics Interface from SAS/GRAPH |
Murphy Choy |
source |
7 |
| SGF |
2012 |
Using SAS for the Design, Analysis, and Visualization of Complex Surveys |
Sharon Lohr |
source |
15 |
| SGF |
2012 |
Van Gogh Your Data: Data Visualization Methods with SAS Business Intelligence |
Natalie Parsons,
Scott W. McQuiggan |
source |
6 |
| MWSUG |
2011 |
Benefits of sasCommunity.org for JMP Coders |
Charles E. Shipp,
Kirk Paul Lafler |
|
9 |
| MWSUG |
2011 |
Interpreting the Differences Among LSMEANS in Generalized Linear Models |
Robin High |
|
11 |
| SGF |
2011 |
Creating Proportional Venn Diagrams Using Google and SAS |
Hillary Kruger |
source |
6 |
| SGF |
2011 |
Multivariate Data Displays for Evaluating Clusters |
Robert G. Moore |
source |
9 |
| SGF |
2011 |
sasCommunity.org Benefits to JMP Coders |
Charles E. Shipp,
Kirk Paul Lafler |
source |
9 |
| SGF |
2011 |
What's New in SAS Data Integration |
Nancy A. Rausch,
Michael Ames,
David Barkaway,
Jeff Stander |
source |
13 |
| SCSUG |
2010 |
Data Visualization Using SAS/Graph |
Keith Cranford |
source |
12 |
| WUSS |
2010 |
Data Visualization: "Every Picture Tells a Story" or "Putting Atomic Numbers on Your Socks"? |
AnnMaria De Mars |
source |
11 |
| MWSUG |
2010 |
Multivariate Data Displays for Evaluating Clusters |
Robert G. Moore |
|
9 |
| SESUG |
2010 |
%SBSBOXPLOT: A SAS Macro for Generating Side-by-Side Boxplots |
Jason A. Schoeneberger,
Grant B. Morgan,
Bethany A. Bell |
source |
16 |
| PharmaSUG |
2010 |
Zoom, Zoom: Get Your Document to Scale on All Paper Sizes |
Daniel O'Connor |
|
19 |
| SGF |
2010 |
Zoom, Zoom: Get Your Document to Scale Properly on All Paper Sizes |
Daniel O'Connor |
source |
19 |
| SESUG |
2009 |
Using SAS to Explore the Impact of a Care Management Maternity Program |
Barbara B. Okerson |
source |
9 |
| MWSUG |
2009 |
Mixed Model Selection |
George C. J. Fernandez |
|
19 |
| WUSS |
2009 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| PharmaSUG |
2009 |
Arrow Statistical Graphic System |
Cheng Jun Tian,
Qin Li,
Jiangfan Li |
|
15 |
| PharmaSUG |
2009 |
Illustrative Logistic Regression Examples using PROC LOGISTIC: New Features in SAS/STAT 9.2 |
Robert G. Downer,
Patrick J. Richardson |
|
11 |
| SGF |
2009 |
Using SAS to Explore the Impact of a Care Management Maternity Program |
Barbara B. Okerson |
source |
9 |
| WUSS |
2008 |
ODS Statistical Graphics 101 |
Wei Cheng |
source |
34 |
| WUSS |
2008 |
User-friendly SAS Macro Application for performing all possible mixed model selection - An update |
George C. J. Fernandez |
source |
19 |
| NESUG |
2008 |
Professional Graphics with SAS/GRAPH |
Samuel T. Croker |
|
5 |
| PharmaSUG |
2008 |
ODS Statistical Graphics 101 |
Wei Cheng |
|
34 |
| SGF |
2008 |
Developing a Dashboard to Aid in Effective Project Management |
M. Paige Borden,
Ali Y. Yorkos,
Maureen Murray |
source |
13 |
| SGF |
2008 |
Increased Team Effectiveness through Information Visualization Using ActiveX Drill-Down Graphs Created via SAS/GRAPH |
Terek J. Peterson,
Robert Gordon |
source |
19 |
| SGF |
2008 |
PROC CORRESP for Categorical Data: Correspondence Analysis (CA) for Discovery, Display, and Decision-Making |
Wendy B. Dickinson,
Bruce W. Hall |
source |
8 |
| SGF |
2008 |
Raising the Bar in Generating Bar Charts and More: A Push-of-the-Button Approach in SAS |
Rita Tsang |
source |
15 |
| SGF |
2008 |
The Design, Development, and Implementation of a Control-Data Tracking and Analysis System for Immunoassays Using SAS/AF |
How J. Tsao,
Andrew McKeen,
Roger French,
Andrew S. Bascom,
Chunwei J. Kuo,
Khushroo E. Shroff |
source |
9 |
| SGF |
2008 |
Understanding Multiple, Repeated Animal Measurements with the Help of PROC GPLOT |
Martin J. Zuidhof,
Robert A. Renema,
Frank E. Robinson |
source |
9 |
| NESUG |
2007 |
Exploratory Visualization of Correlation Matrices |
Shi-Tao Yeh |
|
18 |
| PHUSE EU |
2007 |
ARROW statistical graphical system |
Ann Cuijpers,
Raphael Noirfalise |
source |
6 |
| SCSUG |
2007 |
The Impact of Data Visualization in a Study of Chronic Disease |
Gabe Cano,
Brad Smith,
Paul Cuddihy |
|
17 |
| PharmaSUG |
2007 |
Exploratory Visualization of Correlation Matrices |
Shi-Tao Yeh |
|
17 |
| SGF |
2007 |
Know Your AREA! Creating Professional SAS Graphics in Clinical Safety Data by Using the AREAS Option in PROC GPLOT |
Rita Tsang |
source |
15 |
| SGF |
2007 |
Model Selection in PROC MIXED-A User-Friendly SAS Macro Application |
George C. J. Fernandez |
source |
20 |
| SGF |
2007 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| SGF |
2007 |
People, Pattern, and Place: SAS/GRAPH Data Display of Immigration Activity across the United States |
Wendy B. Hines,
Constance Onwuegbuzie,
Anthony Dickinson |
source |
11 |
| SGF |
2007 |
Reusable SAS/GRAPH Stored Processes for Dashboarding |
Michael Sherwood,
Rick D. Thomas |
source |
13 |
| SGF |
2007 |
The ABC's of Graphical Data Analysis Using SAS/GRAPH |
Hany Aboutaleb |
source |
11 |
| MWSUG |
2006 |
All Possible Model Selection in Proc Mixed - A SAS macro application |
George C. J. Fernandez |
|
19 |
| SESUG |
2006 |
Using Contour Plots to Promote EHR Use in Physician Offices |
Barbara B. Okerson |
source |
6 |
| WUSS |
2006 |
Easy Methods to Investigate Large Datasets Using ODS Graphics and New Features in SAS 9 |
Aimee Foreman,
Miriam G. Cisternas |
source |
10 |
| WUSS |
2006 |
Model Selection Methods in PROC MIXED |
George C. J. Fernandez |
source |
19 |
| NESUG |
2006 |
Know Your AREA! Creating Professional SAS Graphics in Clinical Safety Data, Using the AREAS Option in PROC GPLOT |
Rita Tsang |
|
21 |
| NESUG |
2006 |
Temporal and Spatial Visualization of Epidemiological Data |
Sanjaya Kumar |
|
10 |
| SUGI |
2006 |
Creating Bar Charts and Scatter Plots on the Same Page, Using PROC GPLOT or PROC GBARLINE in SAS? |
Rita Tsang |
source |
9 |
| SUGI |
2006 |
Graphical Analysis of Clandestine Methamphetamine Laboratories Utilizing PROC GMAP: A Visual Inventory of Activity across the United States |
Wendy B. Dickinson,
Anthony Onwuegbuzie,
Constance Hines |
source |
12 |
| SUGI |
2006 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
10 |
| SUGI |
2006 |
Using Contour Plots to Promote EHR Use in Physician Offices |
Barbara B. Okerson |
source |
6 |
| SUGI |
2006 |
Using Statistical Graphics to Understand Your Data (Not Just to Present Results) |
David J. Pasta |
source |
14 |
| SESUG |
2005 |
A Snazzy Graph Featuring Five Variables, Axis Breaks, and Good Resolution |
Rachel A. Baker,
Savannah River |
source |
4 |
| WUSS |
2005 |
ODS Statistical Graphics for Clinical Research |
Wei Cheng |
source |
20 |
| WUSS |
2005 |
Using Statistical Graphics to Understand Your Data (Not Just Present Results) |
David J. Pasta |
source |
5 |
| NESUG |
2005 |
Creating bar charts and scatter plots on the same page, deciphering SAS ANNOTATE in PROC GPLOT. |
Rita Tsang |
|
8 |
| SUGI |
2005 |
Creating Bar Charts and Scatter Plots Using the SAS GPLOT Procedure??Both on the Same Page? It Is Easier Than You Think! |
Rita Tsang |
source |
4 |
| SUGI |
2005 |
SAS Batch Portal Data Collection and Real-Time Monitoring Application of SAS Batch Jobs |
Bernard Nicoll |
source |
11 |
| NESUG |
2004 |
Graphical Display of Data - A Nonparametric Approach |
Shi-Tao Yeh |
|
18 |
| NESUG |
2004 |
Pop-Ups, Drill-Downs, and Animation |
Michael S. Zdeb |
|
16 |
| SUGI |
2004 |
Pop-Ups, Drill-Downs, and Animation |
Michael S. Zdeb |
source |
17 |
| PharmaSUG |
2003 |
StARScope: A Web-Based SAS Prototype for Clinical Data Visualization |
Fang Dong,
Subrahmanyam Pilli,
Scott Pivirotto,
Jeff Van Domelen |
|
6 |
| SUGI |
2003 |
An Approach to Displaying Predicted Survival Data Based on the Level of a Continuous Covariate |
Cristine Allmer,
Daniel J. Sargent |
source |
4 |
| SUGI |
2003 |
StARScope: A Web-Based SAS Prototype for Clinical Data Visualization |
Fang Dong,
Thomas Pivirotto,
Subrahmanyam Pilli,
Jeffrey L. Van Domelen |
source |
|
| SEUGI |
2002 |
Data Management and Data Analysis Solutions in Manufacturing: 10 Years Experience at Altis Semiconductor [presentation] |
J. L. Grolier |
source |
36 |
| SUGI |
2002 |
Physicians Web Portal to Enterprise Information |
Ahmed S. Rahman,
Rosa Cabanela,
Priscilla Van Grevenhof |
source |
5 |
| NESUG |
2001 |
The New User Interface of V9 Graphing Tools: A Usability Case Study |
Frank Wimmer |
|
4 |
| SESUG |
2001 |
Introduction to the SAS Programming Language |
Thomas J. Winn Jr. |
source |
3 |
| SCSUG |
2001 |
Introduction to the SAS Programming Language |
Thomas J. Winn Jr. |
|
3 |
| SEUGI |
2001 |
Repsol YPF - a complete implementation model of balanced scorecards in the oil and gas sector [presentation] |
Antonio Arce |
source |
24 |
| PharmaSUG |
2001 |
Data Visualization of Phase 1 Clinical Studies - "Big Al's World" or Using SAS Version 8 to Acquire Quality Ice Cream |
Richard F. Synowiec |
|
8 |
| SUGI |
2001 |
Data Visualization of Phase 1 Clinical Studies - by "Big Al's Worlds " |
Richard F. Synowiec |
source |
6 |
| SUGI |
2001 |
Escaping Flatland: Chernoff's Faces Revisited |
Wendy B. Dickinson |
source |
12 |
| SUGI |
2001 |
The New User Interface of V9 Graphing Tools |
Frank Wimmer,
Amy Glass |
source |
4 |
| SESUG |
2000 |
Using Data Mining Technology to Identify and Prioritize Emerging Opportunities for Mortgage Lending to Homeownership-Deficient Communities |
Mortgage Lending |
source |
10 |
| SESUG |
2000 |
Web-Application Bar Charts without SAS/GRAPH |
Steve James |
source |
4 |
| WUSS |
2000 |
Gaining Insight Using Visualization Techniques |
Curtis A. Smith,
Philip A. Cosby |
source |
5 |
| SESUG |
1999 |
Data Summarization Methods in Base SAS Procedures |
Lynne Bresler |
source |
9 |
| NESUG |
1999 |
Visual Analysis on the WEB: Animating High Density Multidimensional Data |
Haftan M. Eckholdt |
|
9 |
| MWSUG |
1999 |
Data Summarization Methods in Base SAS Procedures |
Lynne Bresler |
|
9 |
| SEUGI |
1998 |
Complementary use of log-linear modelling and correspondence analysis in SAS software |
Jon Paul Laka,
Izaskun Astondoa |
source |
18 |
| SUGI |
1998 |
Data Visualization Using Java and VRML |
Lingxiao Li,
Art Barnes |
source |
6 |
| SESUG |
1997 |
SAS/SPECTRAVIEW Software and Data Mining: A Case Study |
Ronald E. Stogner |
|
5 |
| SEUGI |
1997 |
Experiences with SAS software and the Internet at Volvo Data |
Johan Jerresand,
Katarina Floberg |
source |
14 |
| SUGI |
1997 |
The Art and Science of Biostatistical Display |
Dominic T. Moore |
source |
4 |
| NESUG |
1996 |
Box and Whisker Plots: Definitions and Interpretations |
Adeline J. Wilcox |
|
9 |
| SUGI |
1996 |
Helping Nonstatisticians Visualize Quantitative Relationships: Using JMP Software's Unique Visualization Tools in the Business Environment |
Palmer Morrel-Samuels |
source |
3 |
| SESUG |
1995 |
Strategies for Data-Driven, Customized Graphical Displays |
Richard W. Morris |
|
6 |
| SUGI |
1995 |
Performance Tester |
Jerry E. Plaatje |
source |
4 |
| SUGI |
1995 |
Time and Costs Tracking Using the Timelog System |
Matthew J. Becker |
source |
5 |
| WUSS |
1994 |
New Developments in SAS Three Dimensional Visualization |
Ali Dogrusoz,
Stuart A. Nisbet |
source |
5 |
| NESUG |
1994 |
Getting Started with SAS/GIS Software |
Mark Brown |
|
7 |
| SEUGI |
1994 |
Graphical Extensions for Principal Component Analysis (Insight of a Dream PCA) |
Philippe Besse |
source |
16 |
| SEUGI |
1994 |
Point and Interval Estimation of Risk and Rate Advancement Periods in Epidemiologic Studies Using SAS Software |
Annette Pfhalberg |
source |
11 |
| SEUGI |
1994 |
Using SAS/SPECTRAVIEW Software for Data Visualisation |
Stuart A. Nisbet |
source |
2 |
| SUGI |
1994 |
Graphical Analysis of Multidimensional Ecological Community Data |
E. Barry Moser |
source |
6 |
| SUGI |
1994 |
Guided Data Analysis with SAS/LAB Software |
Katherine J. Roggenkamp |
source |
10 |
| SUGI |
1994 |
Integrating Statistical Information into Graphical Displays |
Susan J. Kenny |
source |
10 |
| SUGI |
1994 |
New Developments in SAS Three Dimensional Visualization |
Stuart A. Nisbet,
Ali Dogrusoz |
source |
5 |
| SUGI |
1994 |
Using SAS/SPECTRAVIEW for Data Visualization |
Stuart A. Nisbet,
Ali Dogrusoz |
source |
2 |
| WUSS |
1993 |
Corporate and City User Groups |
Charles E. Shipp |
source |
4 |
| MWSUG |
1993 |
Graphical Methods for Categorical Data |
Michael Friendly |
|
7 |
| MWSUG |
1993 |
Statistical Graphs in Environmental Regulatory Studies |
Larry R. Holden |
|
8 |
| SEUGI |
1993 |
Information Delivery Systems (IDS) and the SAS System |
Thomas Leitner |
source |
11 |
| SUGI |
1993 |
An Introduction to SAS/LAB Software |
Katherine J. Roggenkamp |
source |
10 |
| SUGI |
1993 |
Guided Data Analysis with SAS/LAB Software |
Katherine J. Roggenkamp,
Wayne E. Watson,
Randall D. Tobias |
source |
7 |
| SUGI |
1993 |
SAS/LAB Software for Guided Data Analysis |
Wayne E. Watson,
Katherine J. Roggenkamp,
Randall D. Tobias |
source |
7 |
| SUGI |
1993 |
The Generation of a Series of Annotated and Templated Statistical Graphs Using SAS Macros |
Susan J. Kenny |
source |
5 |
| MWSUG |
1992 |
Marketing Research: Uncovering Competitive Advantages |
Warren F. Kuhfeld |
|
9 |
| SEUGI |
1992 |
Guided Data Analysis with SAS/LAB Software |
Gerhard Held |
source |
7 |
| SEUGI |
1992 |
Marketing Research - Uncovering Competitive Advantage |
Gerhard Held |
source |
8 |
| SUGI |
1992 |
Graphical Methods for Categorical Data |
Michael Friendly |
source |
7 |
| NESUG |
1989 |
Displaying Taxonomic Data Anaylses Using SAS/GRAPH |
Dan Jacobs |
|
7 |
| SUGI |
1987 |
Jittering and Other Graphics Macros for Exploratory Data Analysis |
Lawrence H. Muhlbaier |
source |
4 |
| SUGI |
1987 |
Using SAS Software Graphical Procedures for the Observer Agreement Chart |
Shrikant I. Bangdiwala,
Hope E. Bryan |
source |
6 |
| SEUGI |
1986 |
Information Centre Evolution |
John Miller |
source |
10 |
| SUGI |
1982 |
Biplotsin SAS |
Michael C. Tsianco |
source |
|
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