| WUSS |
2026 |
From Prediction to Explanation: Per-Patient SHAP Attribution for a Random Forest Diabetes Risk Classifier |
Leon Rod Davoody, Chary Akmyradov |
source |
12 |
| PharmaSUG CN |
2026 |
Interactive Clinical Plot Gallery with Cross-Plot Subject Linking in R Shiny |
You (Lea) Lyu |
source |
10 |
| PharmaSUG |
2026 |
Advanced SAS Graph Template Language (GTL) with Practical Examples from Oncology Trials |
Ceng Qian, Xu Wen, Wei Lei, Ling Han |
source |
15 |
| PharmaSUG |
2026 |
Path to Consistent Clinical Graphics: An R Shiny Gallery |
Michelle Harwood, Austin Taylor |
source |
12 |
| PHUSE US |
2026 |
Accelerating Study Insights: Agile Data Visualisation Using R-Shiny |
Lin Yuan, Heather Howell |
source presentation source |
6 |
| PHUSE US |
2026 |
Deterministic Foundations, AI Acceleration: Lessons from Developing Hybrid Clinical Review Tools |
Matthew Kumar, Srinivas Veeragoni |
source presentation source |
8 |
| PHUSE APAC |
2026 |
Solving the Fragmentation Challenge in RA Trials: Deriving deeper insights |
Umayal Annamalai, KiranKumar Vyas |
source presentation source |
13 |
| PHUSE EU |
2025 |
Visualising the Invisible: Patient Journey with Waterfall, Spider and Swimmer Plots |
Varsha Mithun Patil, Sunita Poojary |
source presentation source |
14 |
| SESUG |
2025 |
Building Complex Graphics from Simple Plot Types |
Dan Heath |
|
17 |
| PharmaSUG |
2025 |
Combined Waterfall and Swimmer Plot using R for Visualization of Tumor Response Data |
Akshata Salian |
source |
13 |
| PharmaSUG |
2025 |
Integrated R scripts to Power BI |
Jun Yang |
source |
6 |
| PharmaSUG |
2025 |
Roadmap to Efficacy Analysis for Early Phase Oncology studies |
Dhruv Bansal, Christiana Hawn, Chris Kelly |
source |
23 |
| PharmaSUG |
2024 |
Building Complex Graphics from Simple Plot Types |
Dan Heath |
source |
17 |
| PHUSE EU |
2023 |
Efficacy Endpoints in Adjuvant and Neo-Adjuvant Oncology Trials |
Yuliia (Piddubna) Cherednichenko, Anna Amosova |
source presentation source |
15 |
| WUSS |
2023 |
Waterfall vis a vis Spider plots: Complex oncology efficacy endpoint made simpler. |
Yoganand Budumuru |
source |
21 |
| PHUSE US |
2023 |
Interactive Data Visualisation: A Tool for Common Clinical Study Figures and SAP Figure Shells |
Ji Qi, Qisen Luan |
source presentation source |
10 |
| PHUSE US |
2023 |
Reproducibility of Interactive Analyses |
Matthew Kumar, Srinivas Veeragoni |
source presentation source |
9 |
| PharmaSUG |
2022 |
Building Dashboards for Data Review and Visualization using R Shiny |
John Saida Shaik, Sreeram Kundoor |
source |
13 |
| PharmaSUG |
2022 |
Generating Bar Chat and Mutipanel graphs using SAS vs R for Regulatory Submission |
Girija Javvaji, Alistair D-Souza |
source |
7 |
| PharmaSUG |
2022 |
Metadata Driven Approach for Creation of Clinical Trial Figures |
Jeremy Gratt, Qiuhong Jia, Girish Kankipati |
source |
13 |
| PharmaSUG |
2022 |
SAS Studio: Creating, Analyzing, and Reporting Data with Built-in & Custom Tasks |
Himanshu Patel, Chintan Pandya |
source |
8 |
| PHUSE US |
2022 |
R and its Application in Clinical Trial Data Analysis [presentation] |
Santosh Kumar Davuluri |
source video |
21 |
| SESUG |
2021 |
Side by Side Display of Table and Plot, Plot and Plot |
Hengwei Liu |
source |
11 |
| PHUSE US |
2021 |
Python for Visualization in Solid Tumor Studies |
Hengwei Liu |
source video presentation source |
10 |
| 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 |
Double Waterfall Plot Creation for Comparing Target Lesions Data |
Anilkumar Anksapur, Raghava Pamulapati |
source |
9 |
| PHUSE EU |
2020 |
Make your data come alive |
Babych Oleksandr |
source video presentation source |
11 |
| PharmaSUG |
2020 |
End-to-end Prostate-Specific Antigen (PSA) Analysis in Clinical Trials: From Mock-ups to ADPSA |
Joy Zeng, Varaprasad Ilapogu, Xinping Cindy Wu |
source |
12 |
| PharmaSUG |
2020 |
Oncology Graphs-Creation (Using SAS and R), Interpretation and QA |
Taniya Muliyil |
source |
10 |
| PHUSE US |
2020 |
Fill Patterns to the Oncology Plots Using SAS |
Dharmendra Tirumalasetti, Vikram Chanduri |
source presentation source |
5 |
| PHUSE EU |
2019 |
Don't Dream It, Be It Harnessing SAS GTL to Produce Customized Composite Graphics |
Neville Cope |
source presentation source |
10 |
| PharmaSUG |
2019 |
Effective Graphical Representation of Tumor Data |
Sanjay N. Matange |
source |
13 |
| PharmaSUG |
2019 |
Useful SAS techniques in Efficacy Analysis for Oncology studies |
Joy Zeng |
source |
21 |
| SGF |
2019 |
Create a Combined Graph of Tumor Data |
Cleester D. Heath, Sanjay N. Matange |
source |
15 |
| PHUSE US |
2019 |
Efficacy Endpoint Visualization of Investigational Products for Cancer Patients Using R Shiny |
Beverly Martinez, Mukul K Mittal |
source presentation source |
12 |
| PHUSE US |
2019 |
Visualizing Oncology Data Through Interactive Dashboards |
Vikram Chanduri, Bhavin Busa |
source presentation source |
5 |
| SCSUG |
2018 |
Is Your Visualization The Best or A Mess? |
De'Ambra Unuigbey, Steven Collins |
source |
13 |
| PHUSE EU |
2018 |
A Combined Waterfall and Swimmer Graph |
Sanjay N. Matange |
source presentation source |
10 |
| PHUSE US |
2018 |
Unleashing Potential of Graphs for Oncology Trials |
Manoj Pandey |
source presentation source |
12 |
| PharmaSUG |
2018 |
Adding another dimension to oncology graphs: 3-D Waterfall Plots in SAS |
Liz Thomas, Mark Woodruff |
source |
10 |
| PharmaSUG |
2018 |
Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies |
Kelci J. Miclaus, Lili Li |
source |
12 |
| MWSUG |
2017 |
Waterfall Plots in Oncology Studies in the Case of Multi-Arms Design |
Ilya Krivelevich, Kalgi Mody, Simon Lin |
|
15 |
| SGF |
2017 |
Diving Deep into ODS Graphics Styles |
Dan Heath |
source |
19 |
| PHUSE EU |
2016 |
Clinical Graphs Using SAS |
Sanjay N. Matange |
source presentation source |
12 |
| WUSS |
2016 |
Making SAS the Easy Way Out: Harnessing the Power of PROC TEMPLATE to Create Reproducible, Complex Graphs |
Debra A. Goldman |
source |
23 |
| PharmaSUG |
2016 |
Clinical Graphs Using SAS |
Sanjay N. Matange |
source |
19 |
| PharmaSUG |
2016 |
Waterfall plot: two different approaches, one beautiful graph |
Ting Ma |
source |
9 |
| SGF |
2016 |
Clinical Graphs Using SAS |
Sanjay N. Matange |
source zip |
20 |
| SGF |
2016 |
Graphical Results in Clinical Oncology Studies |
Nora Ruel |
source |
14 |
| WUSS |
2015 |
Graphical Results in Clinical Studies A focus on graphics used in oncology |
Nora Ruel, Paul Frankel |
source |
12 |
| PharmaSUG |
2015 |
Graphical Presentation of Clinical Data in Oncology Trials |
Murali Kanakenahalli, Avani Kaja |
source |
10 |
| PharmaSUG CN |
2014 |
Plotting Against Cancer: Creating Oncology Plots Using SAS |
Debpriya Sarkar |
|
30 |
| SGF |
2014 |
Plotting Against Cancer: Creating Oncology Plots Using SAS |
Debpriya Sarkar |
source |
30 |
| SGF |
2014 |
Stylish Waterfall Graphs Using SAS 9.3 and SAS 9.4 Graph Template Language |
Setsuko Chiba |
source |
6 |
| WUSS |
2013 |
Creating Custom Graphic Output Using the SG Annotate Data Set |
Doug E. Lassman |
source |
13 |
| SGF |
2013 |
Fast Dashboards Anywhere with SAS Visual Analytics |
Rick Styll |
source |
27 |
| MWSUG |
2012 |
A Multifaceted Approach to Generating Kaplan-Meier and Waterfall Plots in Oncology Studies |
Stacey D. Phillips |
|
12 |
| PharmaSUG |
2012 |
A Multifaceted Approach to Generating Kaplan-Meier and Waterfall Plots in Oncology Studies |
Stacey D. Phillips |
source |
12 |
| PharmaSUG |
2012 |
Waterfall Charts in Oncology Trials - Ride the Wave |
Niraj J. Pandya |
source |
8 |
| SESUG |
2011 |
Using SAS to Create Custom Healthcare Graphics |
Barbara B. Okerson |
source |
11 |
| NESUG |
2011 |
Waterfall Charts: Play the Mario with Your Data |
Niraj J. Pandya, Sapan Raval |
|
7 |
| SGF |
2011 |
Finding the Best Display Type for Your Data |
Varsha Chawla, Lisa Whitman |
source |
7 |
| SGF |
2011 |
Using SAS to Create Custom Graphics |
Barbara B. Okerson |
source |
10 |
| PHUSE EU |
2010 |
Waterfall plots: A beautiful and easy way of showing a whole picture of an interesting outcome |
Antonio Nieto, Javier Gómez |
source presentation source |
8 |
| SESUG |
2009 |
Using SAS to Explore the Impact of a Care Management Maternity Program |
Barbara B. Okerson |
source |
9 |
| SGF |
2009 |
Using SAS to Explore the Impact of a Care Management Maternity Program |
Barbara B. Okerson |
source |
9 |