| PharmaSUG |
2026 |
Dynamic Patient Profile Plot Development with SAS Graph Template Language |
Raghava Pamulapati,
Guowei Wu,
Danfeng Fu |
source |
13 |
| PharmaSUG |
2026 |
Path to Consistent Clinical Graphics: An R Shiny Gallery |
Michelle Harwood,
Austin Taylor |
source |
12 |
| PHUSE APAC |
2026 |
Solving the Fragmentation Challenge in RA Trials: Deriving deeper insights |
Umayal Annamalai,
KiranKumar Vyas |
source
presentation source |
13 |
| PharmaSUG CN |
2024 |
Dressing Up a Spaghetti Plot with SG Attribute Maps |
Yao Fang |
source |
7 |
| SESUG |
2023 |
Longitudinal Analysis of Marital Therapy's Impact on Intimacy in Heterosexual Couples |
Yaa Awuah,
Mostafa Zahed |
source |
19 |
| PharmaSUG |
2021 |
A Sassy Substitute to Represent the Longitudinal Data - The Lasagna Plot |
Soujanya Konda |
source |
13 |
| PHUSE US |
2020 |
R Shiny Applications Within Ophthalmology |
Julia Dedic |
source
presentation source |
8 |
| PHUSE US |
2020 |
Spotfire Patient Profile Graphs: An Abridged Effective Approach Using Scripting Languages |
Anish Kuriachen |
source
presentation source |
12 |
| PharmaSUG |
2019 |
Useful SAS techniques in Efficacy Analysis for Oncology studies |
Joy Zeng |
source |
21 |
| PHUSE US |
2019 |
Optimize PRO Data Analysis with an Interactive Approach |
Xiangyun Wang,
Elisabeth Piault-Louis |
source
presentation source |
8 |
| PHUSE EU |
2018 |
The Lasagna Plot |
Soujanya Konda |
source
presentation source |
8 |
| MWSUG |
2018 |
Tips, Tricks, and Traps on Longitudinal Data Analysis with Discrete and Continuous Times |
Brandy R. Sinco,
Edith Kieffer,
Michael S. Spencer,
Gray Ficker,
Gretchen Piatt |
|
20 |
| WUSS |
2018 |
When the Mean Isn't Enough: Methods for Assessing Individual Differences using SAS |
Melissa McTernan |
source |
8 |
| SESUG |
2017 |
Visualization of Patient Electronic Records to Support Exploratory Analysis and Variable Derivation of Categorical Data |
Steven Thomas,
Costel Chirila,
Mary Beth |
source |
12 |
| SGF |
2017 |
Analyzing Correlated Data in SAS |
Niloofar Ramezani |
source |
13 |
| SESUG |
2016 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| SGF |
2016 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| WUSS |
2015 |
A Short Introduction to Longitudinal and Repeated Measures Data Analyses |
Leanne Goldstein |
source |
19 |
| PharmaSUG CN |
2015 |
Hands-on Tutorial for Piecewise Linear Mixed-effects Models Using SAS PROC MIXED |
Qinlei Huang |
|
15 |
| PharmaSUG |
2015 |
Automating biomarker research visualization process |
Xiaohui Huang,
Jigar Patel |
source |
6 |
| MWSUG |
2014 |
Case Study: Generating Clinical Trial Summary Plots from an ORACLE database using the SAS Macro Language |
Shannon L. Morrison |
|
8 |
| SGF |
2012 |
Creating Pharmacokinetic Graphs Using SAS/GRAPH |
Katrina E. Canonizado,
Matthew Murphy |
source |
8 |
| SESUG |
2009 |
The Use of SAS in Meta-Analysis |
Ryan C. Butterfield |
source |
13 |
| PharmaSUG |
2009 |
When Simpler is Better - Visualizing Laboratory Data Using "SG Procedures" |
Wei Cheng |
|
10 |
| WUSS |
2008 |
When Simpler is Better - Visualizing Laboratory Data Using "SG Procedures" |
Wei Cheng |
source |
10 |
| PharmaSUG |
2004 |
Box plots and Radar Plots for Pharmaceutical Studies: Some of the Better Ways to get a Clear Picture of Study Results |
Mary Cowmeadow |
|
8 |
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