| PharmaSUG CN |
2026 |
ADICE: A Proposed ADaM Dataset Structure for Intercurrent Events in the Estimand Framework |
Lijie Zhu |
source |
11 |
| PHUSE APAC |
2026 |
Exploring Underutilized Capabilities in SAS - Approaches Seldom Used |
Diganta Bose |
source
presentation source |
9 |
| MWSUG |
2025 |
Validate the Code, not just the Data : A System for SAS program evaluation |
Jayanth Iyengar |
source |
38 |
| WUSS |
2025 |
Validate the Code, not just the Data : A System for SAS program validation |
Jayanth Iyengar |
source |
38 |
| PharmaSUG |
2025 |
ADaM implementation for Anti-drug Antibody Data |
Jiannan Kang,
Luke Reinbolt |
source |
19 |
| PharmaSUG |
2025 |
Checking Outside the Box: A Framework for Submission Success |
Julie Ann Hood,
Seiko Yamazaki |
source |
13 |
| PharmaSUG |
2025 |
The Winding Road to ADSL |
Elizabeth Dennis,
Grace Fawcett |
source |
6 |
| PharmaSUG |
2025 |
Validate the Code, not just the Data : A System for SAS program validation |
Jayanth Iyengar |
source |
38 |
| WUSS |
2024 |
Statistical Programmers Role for SPM Analysis |
Marckenley Mercie,
Ce (Colin) Zhou |
source |
11 |
| PharmaSUG |
2024 |
A Tool for Automated Comparison of Core Variables Across ADaM Specifications Files |
Amy Zhang,
Huei-Ling Chen |
source |
6 |
| PharmaSUG |
2024 |
Integrity, Please: Three Techniques for One-Step Solution in Pharmaceutical Programming |
Jason J. Su |
source |
15 |
| PharmaSUG |
2023 |
ADaM Design and Programming Standardization for Oncology Efficacy Endpoints Based on RECIST 1.1 |
Ellen (Zihui) Lin,
Matt Ness,
Yinghui Wang |
source |
9 |
| PHUSE US |
2023 |
Data Handling of CTCAE Toxicity Grade Made Easier - A Metadata-driven Approach by SAS Macro [presentation] |
Zhaoyu Xie,
Pragathi Mudundi |
source |
18 |
| PharmaSUG |
2022 |
Checking Compliance of CDISC SDTM Datasets Utilizing SAS Procedures. |
Ballari Sen |
source |
17 |
| PHUSE US |
2022 |
Safety ADaM Automation from Design to Implementation [presentation] |
Chengxin Li,
Toshio Kimura |
source
video |
18 |
| PHUSE EU |
2021 |
Beyond P21 Data Checks [presentation] |
Abdulkadir Lokhandvala |
source
video |
24 |
| SGF |
2020 |
A Program to Compare Two SAS Format Catalogs |
Michael A. Raithel |
source |
9 |
| SESUG |
2019 |
The Power of PROC SQL's SELECT DISTINCT INTO |
HoaiNam Tran |
source |
9 |
| PharmaSUG |
2019 |
Leveraging Intermediate Data Sets to Achieve ADaM Traceability |
Yun (Julie) Zhuo |
source |
12 |
| PharmaSUG |
2019 |
Sum Fun with Flags! Sum Any Flagged Occurrence Data with FLAGSUM and Report It with FLAGRPT or PROC REPORT. |
Brendan Bartley |
source |
31 |
| PHUSE EU |
2018 |
Diagnostics of technical errors in define.xml file |
Sergiy Sirichenko,
Max Kanevsky |
source
presentation source |
9 |
| SESUG |
2018 |
Student Placement: Using SAS to Combine and Prioritize Information |
Kelly D. Smith,
Bobbie E. Frye,
Paul G. Earls |
source |
6 |
| WUSS |
2018 |
Formatting outputs for clinical trial data to aid in readability |
Lingjiao Qi,
Bharath Donthi |
source |
11 |
| WUSS |
2018 |
Using a lookup table to transform electronic laboratory results into standardized case-specific information to manage a record-breaking flu season |
Rachel Perry,
Laura Erhart,
Shane Brady |
source |
10 |
| PharmaSUG |
2018 |
Challenges & Strategies in PKPD Programming |
Jing Su,
Jiannan Kang |
source |
6 |
| PharmaSUG |
2018 |
Diagnostics of technical errors in define.xml file |
Sergiy Sirichenko,
Max Kanevsky |
source |
9 |
| SCSUG |
2017 |
Use Machine Learning to Discover Your Rules |
David R. Duling |
source |
10 |
| PharmaSUG |
2017 |
ADaM Grouping: Groups, Categories, and Criteria. Which Way Should I Go? |
Jack Shostak |
source |
12 |
| PharmaSUG |
2017 |
Good Data Validation Practice |
Sergiy Sirichenko,
Max Kanevsky |
source |
10 |
| PharmaSUG |
2017 |
Overview and Application of the HCV Vertical Resistance Analysis Template |
Yan Xie |
source |
5 |
| SGF |
2017 |
Something for Nothing? Adding Flag Variables Using Group Descriptive Statistics and PROC SQL |
Sunil Kumar Gupta |
source |
8 |
| SGF |
2017 |
Use Machine Learning to Discover Your Rules |
David R. Duling |
source |
10 |
| SESUG |
2016 |
SDTM What? ADaM Who? A Programmer's Introduction to CDISC |
Venita DePuy |
source |
9 |
| PHUSE EU |
2016 |
OCCS - Creating Flags or Records |
Rob Wartenhorst |
source
presentation source |
4 |
| PharmaSUG |
2016 |
Superior Highlighting: Identifying New or Changed Data in Excel Output using SAS |
Kim Truett |
source |
8 |
| PharmaSUG |
2015 |
A Toolkit to Create a Dynamic Excel Format Metadata to Assist SDTM Mapping Process |
Huei-Ling Chen,
Helen Wang |
source |
11 |
| PharmaSUG |
2015 |
Considerations in ADaM Occurrence Data: Handling Crossover Records for Non-Typical Analysis |
Karl Miller,
Richann J. Watson |
source |
6 |
| SGF |
2015 |
How to Implement Two-Phase Regression Analysis to Predict Profitable Revenue Units [presentation] |
Shrey Tandon |
source |
15 |
| SGF |
2015 |
Multiple Imputation Using the Fully Conditional Specification Method: A Comparison of SAS, Stata, IVEware, and R |
Patricia A. Berglund |
source |
17 |
| SGF |
2015 |
Using SAS Macros to Flag Claims Based on Medical Codes |
Andy Karnopp |
source
zip |
15 |
| SESUG |
2014 |
SDTM What? ADaM Who? A Programmer's Introduction to CDISC |
Venita DePuy |
source |
9 |
| PharmaSUG |
2014 |
A Guide to the ADaM Basic Data Structure for Dataset Designers |
Michelle Barrick,
John K. Troxell |
source |
12 |
| PharmaSUG |
2014 |
A Macro to Create Occurrence Flags for Analysis Datasets |
Ed Lombardi |
source |
4 |
| PharmaSUG |
2013 |
When Asked for Subject Incidences, Go Ahead and FREQ OUT |
Rod Norman |
source |
8 |
| SCSUG |
2012 |
Two Methods to Merge Data onto Every Observation in Another Dataset |
Lisa A. Mendez |
source |
11 |
| MWSUG |
2012 |
How Readable and Comprehensible Is a SAS Program? A Programmatic Approach to Getting an Insight into a Program |
Rajesh Lal,
Raghavender Ranga |
|
12 |
| PharmaSUG |
2012 |
"Analysis-ready" - Considerations, Implementations, and Real World Applications |
Ellen (Zihui) Lin,
Beiying Ding |
source |
6 |
| PharmaSUG |
2012 |
Common Misunderstandings about ADaM Implementation |
Nate Freimark,
Susan J. Kenny,
Jack Shostak,
John K. Troxell |
source |
10 |
| PharmaSUG |
2012 |
How Readable and Comprehensible Is a SAS Program? A Programmatic Approach to Getting an Insight into a Program |
Rajesh Lal,
Raghavender Ranga |
source |
12 |
| SGF |
2012 |
How Readable and Comprehensible Is a SAS Program? A Programmatic Approach to Getting an Insight into a Program |
Rajesh Lal,
Raghavender Ranga |
source |
12 |
| WUSS |
2011 |
Combining PROC SQL Summary Functions with Logical Expressions |
Glenn Wright |
source |
5 |
| NESUG |
2011 |
Common Sense Tips and Clever Tricks for Programming with Extremely Large SAS Data Sets |
Kathy Hardis Fraeman |
|
8 |
| PHUSE EU |
2010 |
Defining "Compliance" for Analysis Data |
Chris Decker,
Randall Austin |
source
presentation source |
7 |
| PHUSE EU |
2010 |
Identifying medications that are protocol violations |
John van Bemmelen |
source
presentation source |
5 |
| MWSUG |
2010 |
Comparing JMP and SAS for Validating Clinical Trials |
Sandra D. Schlotzhauer |
|
18 |
| SESUG |
2010 |
A Taste of ADaM |
Beilei Xu |
source |
9 |
| NESUG |
2009 |
All Rolled Up Into One: Using SAS to Generate Patient-Level Analysis Files from Insurance Claims Data |
Kathy Hardis Fraeman |
|
12 |
| PharmaSUG |
2009 |
A Simple Macro to Flag New/Changed Records |
Zhuo Chen |
|
4 |
| PharmaSUG |
2009 |
Generic System for Generating Data Listings |
Cheng Jun Tian |
|
15 |
| NESUG |
2008 |
Common Sense Tips and Clever Tricks for Programming with Extremely Large SAS Data Sets |
Kathy Hardis Fraeman |
|
7 |
| SGF |
2008 |
BFF: Binary Flags Forever (Or, Boole's Paradise) |
David J. Pasta,
Eric P. Elkin |
source |
9 |
| SGF |
2008 |
Simple %str(ER)ROR Checking in Macros |
Magnus Mengelbier |
source |
16 |
| NESUG |
2007 |
A Consolidated Macro for Iterative Hot Deck Imputation |
Bruce Ellis |
|
15 |
| WUSS |
2007 |
BFF: Binary Flags Forever (Or, Boole's Paradise) |
David J. Pasta,
Eric P. Elkin |
source |
8 |
| PHUSE EU |
2007 |
Simple %str(ER)ROR Checking in Macros |
Magnus Mengelbier |
source |
15 |
| SGF |
2007 |
Spicing Up SAS/IntrNet Applications (with Additives) |
Jonah P. Turner |
source |
22 |
| NESUG |
2006 |
MIMO: Multiple Inputs Multiple Outputs - Multiplying the Fun while doing the Data Step |
John Fahey |
|
9 |
| SUGI |
2006 |
Displaying the Similarity of a Case and Matched Controls |
Robert S. Wilson |
source |
8 |
| MWSUG |
2005 |
Spicing Up SAS/IntrNet Applications |
Jonah P. Turner |
|
15 |
| SUGI |
2005 |
Spicing Up SAS/IntrNet Applications |
Jonah P. Turner |
source |
15 |
| SESUG |
2004 |
Using SAS to Facilitate Data Comparisons |
M. Rita Thissen,
Elizabeth Heath |
source |
12 |
| SUGI |
2002 |
Bulletproofing Your SAS Results |
Vanessa C. Hayden |
source |
6 |
| PharmaSUG |
2001 |
Unit-of-Analysis Programming |
Vanessa C. Hayden,
Fidelity Investments |
|
6 |
| SUGI |
1999 |
Robust Outlier Identification using SAS |
Jack N. Shoemaker |
source |
8 |
| NESUG |
1997 |
A Closer Look At FIRST.var and LAST.var |
Marge Scerbo |
|
2 |
| MWSUG |
1997 |
Bits to Bytes --More Efficient Memory Utilization |
Brian L. Bournival |
|
3 |
| NESUG |
1995 |
Logical Analysis of Data (LAD): An Implementation In SAS Language |
Endre Boros,
Peter Hammer,
Victor Kamensky,
Alex Krogan,
Ilya Muchnik |
|
6 |
| NESUG |
1993 |
Using SAS Macros Functions to Extend the SAS System |
Sigurd W. Hermansen |
|
7 |
| SUGI |
1993 |
A SAS Macro to Calculate Standard Errors for Proportions from Simple Random Sampling within Strata |
Wayne E. Johnson |
source |
6 |
| SUGI |
1989 |
A Clinical Trials Data Management System Featuring Multiple Editing Phases |
Mark F. Guagliardo,
Kathleen A. Jablonski |
source |
5 |
| SUGI |
1985 |
Optimizing Storage of SAS Data Sets |
Carol A. Bogardus,
Martin J. Rosenberg |
source |
4 |
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