| PharmaSUG CN |
2026 |
Health Technology Assessment (HTA) Under EMA Framework: From Emerging to Mandatory Submission |
Jun Zhai |
source |
7 |
| PharmaSUG |
2026 |
Women Leadership in AI-Driven Clinical Programming: Navigating Intersectionality and Innovation |
Lida Gharibvand |
source |
31 |
| PHUSE APAC |
2026 |
Key Programmer Tasks for Japan Submission and Programmer Role Allocation |
Yoko Yamaguchi |
source
presentation source |
5 |
| SESUG |
2025 |
Versatile Graphic Presentation of Immunogenicity Analysis Results in Vaccine Studies with a Macro that Creates Multiple Forest Plots in One Output |
Hong Wang |
|
9 |
| PharmaSUG |
2025 |
Leveraging Health Technology Assessment (HTA) for Market Access: A Statistical Programming Perspective on German HTA Submission |
Rachana Agarwal,
Wendy Wang |
source |
5 |
| SESUG |
2024 |
Streamlining Vaccine Study Output Generation with a Versatile Efficacy Macro |
Zhengyang Shi |
source |
6 |
| PharmaSUG |
2023 |
Macro To Automate Crossover Review In Produced Outputs |
Igor Goldfarb,
Ella Zelichonok |
source |
25 |
| PharmaSUG |
2023 |
What-s the story in your subgroup analysis |
Lucy Dai |
source |
6 |
| PharmaSUG |
2022 |
FDA Advisory Committee Meetings - A Statistical Programmer's Survival Guide |
Phil Hall |
source |
8 |
| PharmaSUG |
2020 |
%MVMODELS: a Macro for Survival and Logistic Analysis |
Jeffrey P. Meyers |
source |
23 |
| PHUSE US |
2020 |
Getting e-Closer to Multi-Regional Clinical Trials |
Lily Ling,
Yuan Yuan Dong,
Yanhong Li |
source
presentation source |
5 |
| PHUSE US |
2020 |
Titles Are a Programmer's Best Friend |
Gregory Nunn |
source
poster source |
5 |
| PharmaSUG |
2019 |
An Innovative Efficacy Table Programming to Automate Its Figure Generation to Ensure Both High Quality and Efficiency |
Xiangchen (Bob) Cui,
Letan (Cleo) Lin |
source |
23 |
| PharmaSUG |
2019 |
Forest Plots for Beginners |
Savithri Jajam,
Olesya Masucci |
source |
9 |
| PHUSE US |
2019 |
Misuse and Misapplication in Statistical Data Analysis - A Topic that Never Goes Out of Style |
Corinna Miede |
source
presentation source |
12 |
| PHUSE US |
2019 |
Optimize PRO Data Analysis with an Interactive Approach |
Xiangyun Wang,
Elisabeth Piault-Louis |
source
presentation source |
8 |
| 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 |
| MWSUG |
2018 |
Spotfire Clinical visualizations from SAS and R |
Zeqing Lu,
Hillary Graham,
Jessica Chen |
|
4 |
| PharmaSUG CN |
2016 |
SAS Automation and More |
Frank Fan |
|
7 |
| PharmaSUG |
2016 |
Best Practices: Subset Without Getting Upset |
Mary F. O. Rosenbloom,
Kirk Paul Lafler |
source |
17 |
| SGF |
2015 |
Best Practices: Subset Without Getting Upset |
Mary F. O. Rosenbloom,
Kirk Paul Lafler |
source |
17 |
| SGF |
2015 |
Forest Plotting Analysis Macro %FORESTPLOT |
Jeffrey P. Meyers,
Qian Shi |
source |
18 |
| WUSS |
2014 |
Best Practices: Subset Without Getting Upset |
Mary F. O. Rosenbloom,
Kirk Paul Lafler |
source |
17 |
| PHUSE EU |
2012 |
Approaches to Creating ADaM Subject-Level Analysis Datasets (ADSL) for Integrated Analyses |
Thomas Clinch,
Nate Friemark |
source
presentation source |
6 |
| PharmaSUG |
2009 |
Generating Model Based Subgroup Analysis Using SAS Procedures |
Tracy Lin,
Jie Huang |
|
4 |
| SESUG |
2008 |
Complex Survey Data Analysis in SAS and the Link between PROC SURVEYFREQ and SURVEYMEANS |
Taylor Lewis |
source |
5 |
| NESUG |
2004 |
Analyzing Complex Survey Data: Some SAS-SUDAAN Comparisons |
Xiuhua Chen,
Paul Gorrell |
|
15 |
| SUGI |
1992 |
Using SAS Software to Evaluate the Imaging Performance of Presurgical Diagnostic Tests in the Detection of Cancer |
Kristin R. Dawson |
source |
7 |
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