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swimmer plot

47 papers and 4 presentations; 50 titles.

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Conference × Year × Title × Authors Extras Pages
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 How to Train Your Dragon - Embedding AI in Clinical Workflow. Illustrated through Oncology Swimmer Plots Sri Pavan Vemuri source 7
PharmaSUG 2026 Patient-Level, Dose-Stratified Swimmer Plots for Comparative Adverse Event Time-Course Assessment in Clinical Trials Using SAS PROC TEMPLATE Qingwei Hu,
Zhaoyu Xie,
Ji Qi
source 5
PharmaSUG 2026 Swimmer Plots - Some Practical Advice Ilya Krivelevich source 11
PHUSE US 2026 Accelerating Study Insights: Agile Data Visualisation Using R-Shiny Lin Yuan,
Heather Howell
source
presentation source
6
PHUSE APAC 2026 Swimmer Plots in Clinical Programming Implementation and Visualization Using SAS and R Ramya V. Kini,
Vinay S
source
poster source
6
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 An Integrated R Shiny Solution for Dynamic Subgroup Adjustments and Customizations Yi Guo source 20
PharmaSUG 2025 Combined Waterfall and Swimmer Plot using R for Visualization of Tumor Response Data Akshata Salian source 13
PharmaSUG 2025 Roadmap to Efficacy Analysis for Early Phase Oncology studies Dhruv Bansal,
Christiana Hawn,
Chris Kelly
source 23
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 Kraken: A Shiny Application for Visualising SDTM Data in Early-Phase Clinical Trials Rutu Patel source
presentation source
12
PHUSE EU 2024 Choosing the Right Tool: A Comparative Evaluation of SAS, R and Python for Sankey and Swimmer Plot Generation in Clinical Data Julien Frenehard,
Neelam Yadav
source
presentation source
11
PharmaSUG CN 2024 Graph Programming Tips for Swimmer Plot Xin Jiang,
Wenyi Yu
source 5
PharmaSUG 2024 Amazing Graph Series: Swimmer Plot - Visualizing the Patient Journey: Adverse Event Severity, Medications, and Primary Endpoint Tracy Sherman,
Aakar Shah
source 16
PharmaSUG 2024 Building Complex Graphics from Simple Plot Types Dan Heath source 17
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
PharmaSUG 2022 Metadata Driven Approach for Creation of Clinical Trial Figures Jeremy Gratt,
Qiuhong Jia,
Girish Kankipati
source 13
PHUSE EU 2021 The Art of Swim Lane Plot Ganesh Lekurwale source
video
presentation source
7
PHUSE US 2021 Python for Visualization in Solid Tumor Studies Hengwei Liu source
video
presentation source
10
PHUSE US 2021 Table-based Data Visualizations Using R [presentation] Matthew Kumar source
video
26
PHUSE EU 2020 Catch Them When You Can ... Fix Them [presentation] Anna Panasenko source
video
23
PHUSE EU 2020 Super Static SG Graphics [presentation] Kriss Harris source
video
24
PharmaSUG 2020 Oncology Graphs-Creation (Using SAS and R), Interpretation and QA Taniya Muliyil source 10
PHUSE US 2020 Get in Your Lane! Building Swimmer Plots Using SAS 9.4 [poster] Kristi Garner,
Sri Talluri
source 1
PHUSE US 2020 Visualizing Tumor Response Data Using ggplot2 R Package with Examples Christine S Teng source
presentation source
13
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 Fine-tuning your swimmer plot: another example from oncology Steve Almond source 25
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
PHUSE EU 2018 A Combined Waterfall and Swimmer Graph Sanjay N. Matange source
presentation source
10
PHUSE EU 2018 Turning Fantasy into Reality - Creating Custom Data Visualisations for Future Reporting James Diserens source
presentation source
11
PHUSE US 2018 Behind the Scenes: From Data to Customized Swimmer Plots Using SAS Graph Template Language (GTL) Hima Bhatia,
Rita Tsang
source
poster source
14
PHUSE US 2018 How ODS GRAPHICS INFRASTRUCTURE can be Used in Statistical Analysis Harivardhan Jampala source
presentation source
16
PHUSE US 2018 Unleashing Potential of Graphs for Oncology Trials Manoj Pandey source
presentation source
12
PharmaSUG 2018 Interactive Programming Using Task in SAS Studio Suwen Li source 7
PharmaSUG 2018 Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies Kelci J. Miclaus,
Lili Li
source 12
PharmaSUG 2018 Sense and Censorability: Learn censoring techniques with ADTTE for your survival Shilpakala Vasudevan source 12
PharmaSUG 2018 Tumor Dashboard Sudhir Singh source 6
SESUG 2017 Behind the Scenes: from Data to Customized Swimmer Plots Using SAS Graphical Template Language (GTL) Rita Tsang source 16
SESUG 2016 Enhanced Swimmer Plots: Tell More Sophisticated Graphic Stories in Oncology Studies Enhanced Swimmer source 13
PHUSE EU 2016 Clinical Graphs Using SAS Sanjay N. Matange source
presentation source
12
PharmaSUG 2016 A Different Approach to Create Swimmer Plot Using Proc Template and SGRENDER Jui-Fu Huang source 6
PharmaSUG 2016 Clinical Graphs Using SAS Sanjay N. Matange source 19
PharmaSUG 2016 Swimmer Plot by Graphic Template Language (GTL) Baiming Wang source 9
SGF 2016 Clinical Graphs Using SAS Sanjay N. Matange source
zip
20
PharmaSUG 2014 Swimmer Plot: Tell a Graphical Story of Your Time to Response Data Using PROC SGPLOT Stacey D. Phillips source 12

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