| PharmaSUG |
2026 |
Swimmer Plots - Some Practical Advice |
Ilya Krivelevich |
source |
11 |
| 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 |
Integrated R scripts to Power BI |
Jun Yang |
source |
6 |
| PharmaSUG |
2025 |
Visualizing oncology data through 3D bar charts in R and Python |
Girish Kankipati, Venkatesulu Salla |
source |
18 |
| 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 |
| PharmaSUG |
2022 |
Derivation of Efficacy Endpoints by iRECIST Criteria: A Practical Approach |
Ilya Krivelevich, Lei Gao, Richard Kennan |
source |
9 |
| PHUSE US |
2021 |
Waffle Chart in SAS |
Abhinav Srivastva |
source video presentation source |
4 |
| PharmaSUG |
2020 |
Butterfly Plot for Comparing Two Treatment Responses |
Raghava Pamulapati |
source |
13 |
| PharmaSUG |
2020 |
CDISC-compliant Implementation of iRECIST and LYRIC for Immunomodulatory Therapy Trials |
Kuldeep Sen, Sumida Urval, Yang Wang |
source |
11 |
| PharmaSUG |
2020 |
Simplifying the Derivation of Best Overall Response per RECIST 1.1 and iRECIST in Solid Tumor Clinical Studies |
Xiangchen (Bob) Cui, Sri Pavan Vemuri |
source |
24 |
| PharmaSUG |
2019 |
Jump Start your Oncology knowledge |
Xiaoyin Zhong, Feng Liu |
source |
9 |
| 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 EU |
2018 |
Step-by-step Guide to Efficacy Analysis in Solid Tumors Oncology Clinical Trials |
Anastasiia Tiurdo |
source presentation source |
11 |
| PHUSE EU |
2018 |
The Oncology-specific Domains TU, TS and RS: What to Know as a Statistical Analyst |
Frieder Wolff, Vitali Gering |
source presentation source |
8 |
| SESUG |
2018 |
Are You Ready for It? Preparing for Your Next Technical Interview |
Christine McNichol |
source |
6 |
| PharmaSUG |
2018 |
Analysis of Oncology Studies for Programmers and Statisticians |
Kevin Lee |
source |
7 |
| PharmaSUG |
2018 |
Are You Ready for It? Preparing for Your Next Technical Interview |
Christine McNichol |
source |
6 |
| PharmaSUG |
2018 |
Derivations of Response Status from SDTM Domains using RECIST 1.1 |
Christine S Teng, Lei Pang |
source |
10 |
| PharmaSUG |
2018 |
Know your PET: From the Scans to SDTM Datasets |
Balavenkata Pitchuka, Bhargav Koduru |
source |
8 |
| PharmaSUG |
2017 |
Programming LYRIC Response in Immunomodulatory Therapy Trials |
Yang Wang |
source |
5 |
| PharmaSUG |
2017 |
SAS Macro for Derivation of Best Overall Response per RECIST v. 1.1 |
Bob Zhong, Jiangfan Li, Hong Xie, Peter De Porre, Kenneth Maahs, Kyounghwa Bae |
source |
9 |
| PHUSE EU |
2016 |
Integrating the New EMA Requirements on Public Disclosure in the Study Conduct [presentation] |
Jean-Marc Ferran |
source |
20 |
| WUSS |
2016 |
Why and What Standards for Oncology Studies (Solid Tumor, Lymphoma and Leukemia)? |
Kevin Lee |
source |
7 |
| PharmaSUG |
2016 |
Swimmer Plot by Graphic Template Language (GTL) |
Baiming Wang |
source |
9 |
| PharmaSUG |
2015 |
Two different use cases to obtain best responses using RECIST 1.1: SDTM and ADaM |
Kevin Lee, Vikash Jain |
source |
17 |
| PHUSE EU |
2014 |
Oncology Efficacy Endpoints |
Sarah Berenbrick |
source presentation source |
3 |
| PharmaSUG |
2014 |
Swimmer Plot: Tell a Graphical Story of Your Time to Response Data Using PROC SGPLOT |
Stacey D. Phillips |
source |
12 |
| PHUSE EU |
2012 |
Risk-Benefit Analysis for Oncology Clinical Trials |
Lovemore Gakava, Waseem Jugon |
source poster source |
8 |
| PharmaSUG |
2012 |
Calculating time-to-event parameters using a single DATA step and a RETAIN statement |
Andrew L Hulme |
source |
7 |
| PharmaSUG |
2012 |
Tumor Assessment using RECIST: Behind the Scenes |
Suhas R. Sanjee, Rajavel Ganesan, Mary N. Varughese |
source |
7 |
| PharmaSUG |
2012 |
Waterfall Charts in Oncology Trials - Ride the Wave |
Niraj J. Pandya |
source |
8 |
| NESUG |
2011 |
Waterfall Charts: Play the Mario with Your Data |
Niraj J. Pandya, Sapan Raval |
|
7 |
| PHUSE EU |
2009 |
Building and maintaining a clinical data warehouse - challenges and opportunities for pharmaceutical programmers [presentation] |
Juergen Kuebler |
source |
15 |
| PharmaSUG |
2009 |
Are you computing Confidence Interval for binomial proportion using PROC FREQ? Be Careful!! |
Sandeep Sawant |
|
6 |
| SESUG |
2001 |
A SAS Approach to WEB-Based Surveys |
Bernard R. Poisson |
source |
9 |
| SCSUG |
2001 |
A SAS-Based Approach to WEB-Based Surveys |
Bernard R. Poisson |
|
9 |
| SUGI |
1996 |
Creating Winning Graphs |
Deb Cassidy, Lori D. Griffin |
source |
9 |
| SUGI |
1995 |
DrugA v.s. Comparator % Complete Response by Dose |
Lori D. Griffin |
source |
20 |