| WUSS |
2022 |
An Autoexec Companion, Allocating Location Names during Startup |
Ronald J. Fehd |
source |
17 |
| PHUSE EU |
2019 |
Fake it Till You Make it with Global SDTM Laboratory Submissions [presentation] |
Éanna Kiely |
source |
31 |
| SESUG |
2018 |
An Autoexec Companion, Allocating Location Names during Startup |
Ronald J. Fehd |
source |
16 |
| SGF |
2016 |
Key Features in ODS Graphics for Efficient Clinical Graphing |
Yuxin Jiang |
source |
7 |
| MWSUG |
2015 |
An Autoexec Companion, Allocating Location Names during Startup |
Ronald J. Fehd |
|
15 |
| SESUG |
2015 |
Key Features in ODS Graphics for Efficient Clinical Graphing |
Key Features |
source |
7 |
| WUSS |
2014 |
SAS Essentials II (or How to Train Your SAS Data Sets) |
Tasha Chapman |
source |
12 |
| PharmaSUG |
2011 |
An Excel Framework to Convert Clinical Data to CDISC SDTM Leveraging SAS Technology |
Sophie McCallum, Stephen Chan |
source |
12 |
| SESUG |
2008 |
SET, MERGE and beyond. |
Erik W. Tilanus |
source |
15 |
| PHUSE EU |
2008 |
CDISC Implementation Strategies: Exploit your data assets while still giving the FDA what they want |
David Smith |
source |
9 |
| SGF |
2008 |
SET, MERGE and beyond. |
Erik W. Tilanus |
source |
15 |
| WUSS |
2007 |
Automating the SORT-SORT-MERGE and Overcoming the Many to Many MERGE: %ProcMerge |
Carter Sevick |
source |
17 |
| WUSS |
2000 |
Simplifying a Merge with SAS Macro |
S. Patrick Thornton |
source |
5 |
| WUSS |
1996 |
The Effect of Poison Pills on Firm Risk: An Application of Options Pricing Theory |
Thomas A. Turk, Jeremy Goh |
source |
9 |
| MWSUG |
1994 |
Letting SAS Find the Data Errors When You Have Multiple Observations and/or Multiple Datasets |
Deb Cassidy |
|
9 |
| SEUGI |
1985 |
Differential Interface to the SAS System with Variable Selection Lists |
Peter Arklint |
source |
12 |