| PharmaSUG |
2026 |
Visualizing PK and ADA Data at Scale: A Parameter-Driven SAS Macro for Box Plot Generation |
Prasannanjaneyulu Narisetty, Anilkumar Anksapur |
source |
9 |
| PHUSE EU |
2023 |
Real world observational studies and the challenges in data collection |
Kavitha Devadiga |
source presentation source |
7 |
| PHUSE US |
2023 |
SDTM Mapping Recommendation Engine - Acorn [presentation] |
Rohan Parmar, Harshit Manektalia |
source video |
32 |
| PHUSE EU |
2022 |
Generating Schedule of Activities as FHIR Resources |
Andy Richardson, Derek Hummerston |
source |
5 |
| PHUSE EU |
2021 |
Next Generation MDR Solution for Study Design and Configuration Using Concept-based Standards [presentation] |
Mikkel Traun |
source video |
15 |
| PHUSE US |
2021 |
Protocols on FHIR - Exchanging Study Designs with EHR Systems [presentation] |
Andy Richardson, Geoffrey Low |
source video |
24 |
| PHUSE US |
2021 |
R + JavaScript = Amazing Applications [presentation] |
Maya Gans |
source video |
27 |
| PHUSE EU |
2020 |
Approaches to Schedule of Activities (SOA) Specification for Automated Implementation [presentation] |
Andy Richardson |
source video |
27 |
| SESUG |
2019 |
Who, When, and Where - A Step-by-Step Approach to Creating a Color-Coded Tracker for Clinical Trial Subjects |
Venita DePuy |
source |
18 |
| SESUG |
2017 |
An Introduction to Visit Window Challenges and Solutions |
Mai Ngo |
source |
6 |
| SESUG |
2017 |
Statistician's secret weapon: 20 ways of detecting raw data issues |
Lixiang Larry Liu |
source |
8 |
| PHUSE EU |
2017 |
What Can JMP Clinical Do for You? [presentation] |
Alastair Scarlett |
source |
1 |
| PharmaSUG |
2017 |
Statistician's secret weapon: 20 ways of detecting raw data issues |
Lixiang Larry Liu |
source |
8 |
| PharmaSUG |
2015 |
LOCF vs. LOV in Endpoint DTYPE Development with CDISC ADaM Standards |
Maggie Ci Jiang |
source |
6 |
| PharmaSUG CN |
2014 |
Monitoring Child Growth and Safety Profile using Growth Charts |
Rajesh Babu Moorakonda, Mihir Gandhi |
|
9 |
| SESUG |
2013 |
Data in the Doughnut Hole: Using SAS to Report on What is NOT There |
Sarah Woodruff |
source |
10 |
| NESUG |
2013 |
Use of SAS for Clinical Trial Management and Risk-Based Monitoring of Multicenter Clinical Trial Data from Electronic Data Capture Tools |
Bob Hall, David Gagnon |
|
14 |
| PharmaSUG |
2013 |
Combining Analysis Results from Multiply Imputed Categorical Data |
Bohdana Ratitch, Ilya Lipkovich, Michael O'Kelly |
source |
19 |
| PharmaSUG |
2011 |
Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures |
Bohdana Ratitch, Michael O'Kelly |
source |
10 |
| NESUG |
2009 |
LOCF: It's more than just carrying forward |
Vikash Jain, Niraj J. Pandya |
|
10 |
| SESUG |
2004 |
Using PROC COMPARE in a SAS/AF Application for Tracking Corrections made to SAS Datasets for a Clinical Trial |
Emily A. Mixon |
source |
6 |
| SCSUG |
2001 |
Creating Visit Specific CRF Checklists for a Longitudinal Study |
Emily A. Mixon, Karen B. Fowler |
|
4 |
| SESUG |
1999 |
Using SAS/AF to Create Applications for the Administrative Aspects of Data Management in Clinical Trials |
Emily A. Mixon, Karen B. Fowler, Felicita David |
source |
4 |