| PharmaSUG CN |
2024 |
Programming Activities of Conducting Data Masking in Open-Label Study |
Xinyun Gao |
source |
6 |
| PHUSE US |
2021 |
Hydrating a Data Lake to Power Innovation - Enabling Pharmaceutical Companies to Automate Data De-identification for Secondary Use [presentation] |
Cathal Gallagher,
Kristin McDougall |
source
video |
16 |
| PharmaSUG |
2021 |
Preserving the Privacy of Participant's Data by Data Anonymization |
Chaithanya Velupam,
Kaushik Sundaram |
source |
10 |
| PharmaSUG |
2019 |
De-Identification of Data & It's Techniques |
Shabbir Bookseller |
source |
7 |
| PHUSE US |
2019 |
Managing Privacy Risk in Data & Documents Sharing - Lessons Learned Balancing Progress & Perfection [presentation] |
Julie Holtzople,
Stephen Baker |
source |
29 |
| PHUSE EU |
2016 |
A Standardised Approach to De-identification |
Christopher C. Hurley |
source
presentation source |
13 |
| PHUSE EU |
2016 |
KeyDan - A Data Anonymisation Tool |
Cathy Scoupe,
Stéphane Chollet |
source
presentation source |
6 |
| SGF |
2016 |
What's New in SAS Federation Server 4.2 |
Tatyana Petrova |
source |
13 |
| PHUSE EU |
2015 |
Data De-identification: Balancing Patient Privacy, Data Utility and Good Programming Practices |
Jon Davidson,
David Handelsman |
source
presentation source |
5 |
| PHUSE EU |
2014 |
Data Transparency: Data De-identification and the Role of the Programmer [presentation] |
Jean-Marc Ferran |
source |
20 |
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