| PharmaSUG |
2023 |
Low Code Approach to Clinical Application Development using SAS Studio Custom Step |
|
source |
15 |
| SGF |
2020 |
Explanatory Machine Learning Model Plots for Epidemiological and Real-World Evidence Studies |
|
source |
22 |
| SGF |
2019 |
Real-World Evidence and Population Health Analytics: Intersection and Application |
|
source |
16 |
| PHUSE EU |
2018 |
Enhancing the Application of Real-world Evidence with Episode of Care Analytics |
Lina Clover |
source
presentation source |
13 |
| PharmaSUG |
2018 |
Real World Patients: The intersection of Real World Evidence and Episode of Care Analytics |
Youngjin Park |
source |
15 |
| PharmaSUG |
2017 |
Analyzing data from multiple clinical trials using SAS Real World Evidence |
Jay Paulson |
source |
13 |
| PHUSE EU |
2008 |
Automated Drug Safety Signal Detection with Guided Ana |
Eric C. Brinsfield |
source |
7 |
| PharmaSUG |
2008 |
Automated Drug Safety Signal Detection with Guided Analysis |
Eric C. Brinsfield |
|
5 |
| PharmaSUG |
2005 |
Pharmacovigilance and Drug Safety Reporting Algorithms (Content and Process) |
Michael Kilhullen,
Gail Kongable,
Tanyss Mason,
Eugenia Bastos,
Edward D. Helton |
|
8 |
| SUGI |
1999 |
A SAS Module/Macro Program for Computing Statistical Power Curves for Detecting Treatment Effect |
|
source |
6 |
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