| PharmaSUG CN |
2026 |
The reporter package: A Powerful Reporting Package to Replicate SAS Output |
Bill Huang |
source |
24 |
| PharmaSUG |
2026 |
ARMed AutoTable Macro Agents: An ARM-Driven Framework for Automated Analysis Table Generation |
Chengxin Li |
source |
10 |
| PharmaSUG |
2026 |
Optimizing Clinical TFL Review with Python and Power BI: A Reproducible Workflow to Reduce QC Time and Improve Traceability |
Vijaya Lakshmi Cherakam,
Latha Donapati |
source |
10 |
| PHUSE US |
2026 |
QC Without Code: ChatGPT Enterprise for Sponsor Oversight of Outsourced TFLs |
Jenny Price,
Brad Moore |
source
presentation source |
9 |
| PHUSE APAC |
2026 |
Enhancing Real-Time Clinical Reporting with R Shiny and Large Language Models: Automated Code Generation and Dynamic TLG Visualization |
Mahesh Divakaran |
source
presentation source |
10 |
| PHUSE APAC |
2026 |
Summary Outputs Made Simple: A Mirror View for SAS Programmers Exploring R |
Venkata Koteswara Rao Rayala |
source
poster source |
7 |
| PHUSE EU |
2025 |
From Mock to Output: Using Generative AI to Write SAS Code for Standards-Based TFLs |
Kala Shivali,
Bhuvana Venkatappa |
source
presentation source |
16 |
| PharmaSUG |
2025 |
Enhance Safety Data Analysis Using SafetyGraphic R Package |
Vicky Yuan |
source |
17 |
| PharmaSUG |
2025 |
R Programming in SAS LSAF: How to Generate Clinical Reports Using an R Session |
Praneeth Adidela |
source |
12 |
| PharmaSUG CN |
2024 |
An end-to-end Digital Platform for TFL Automation - From Metadata to TFL Outputs |
Yanan Sui,
Jiapeng He,
Mingliang Fan,
Xuejie Zhou,
Lin Jiang,
Tingting Zeng,
Jinling Li |
source |
8 |
| PharmaSUG CN |
2024 |
MetaTFL - A Dynamic Configuration Application for a Centralized Clinical Analysis Platform |
Cheng Zhang |
source |
8 |
| PharmaSUG |
2023 |
Low Code Approach to Clinical Application Development using SAS Studio Custom Step |
David Olaleye |
source |
15 |
| PHUSE US |
2023 |
A Beginner's Roadmap to Map Functions for Clinical Reporting in R |
Samuel Curlee,
Gabriela Piasecki |
source
presentation source |
6 |
| PHUSE EU |
2022 |
Welcome to the Pharmaverse [presentation] |
Michael Stackhouse |
source
video |
12 |
| PharmaSUG |
2022 |
A Practical Approach to Preparing Documentation for Clinical Registries |
Jennifer McGrogan,
Rex Tungala,
Mario Widel |
source |
16 |
| PHUSE US |
2022 |
Introducing Reporting Packages in R for TFLs [presentation] |
Pavan Reddy,
Thomas Kalfas |
source
video |
12 |
| PHUSE US |
2021 |
An SAS Macro for Dynamic Page Breaks [presentation] |
Bhavana Bommisetty,
Manohar Modem |
source
video |
13 |
| PHUSE US |
2021 |
Open-Source Development for Traditional Clinical Reporting [presentation] |
Michael Stackhouse,
Nathan Kosiba |
source
video |
12 |
| PharmaSUG |
2021 |
Interactive Clinical Dashboards using R Studio |
Syam Prasad Chandrala,
Chaitanya Chowdagam |
source |
20 |
| SGF |
2021 |
A SAS Macro for Dynamic Page Breaks |
Manohar Modem,
Bhavana Bommisetty |
source |
14 |
| PHUSE EU |
2020 |
A Novel Way of Creating Tables in R [presentation] |
Adrian Waddell |
source
video |
42 |
| PharmaSUG |
2020 |
A SAS Macro for Dynamic Assignment of Page Numbers |
Manohar Modem,
Bhavana Bommisetty |
source |
10 |
| PharmaSUG |
2020 |
Automate your Safety tables using Artificial Intelligence & Machine Learning |
Roshan Stanly,
Ajith Baby Sadasivan,
Limna Salim |
source |
8 |
| PharmaSUG |
2020 |
Demographic Table and Subgroup Summary Macro %TABLEN |
Jeffrey P. Meyers |
source |
12 |
| PHUSE US |
2018 |
Row Row Row of Zeroes: Their Significance in Summary Tables and Subgroup Analyses |
Sridhar Vijendra,
Sumanth Horabail |
source
presentation source |
6 |
| SGF |
2016 |
Finding the One: Using SAS Code and SAS Data Quality Server to Create a Matched Record |
Elena Shtern,
Kim Hare |
source |
25 |
| PharmaSUG |
2015 |
Utilizing SAS for Cross-Report Verification in a Clinical Trials Setting |
Daniel Szydlo,
Iraj Mohebalian,
Marla J. Husnik |
source |
12 |
| PHUSE EU |
2013 |
Statistics: The Fourth Dimension of a "Statistical Programmer" |
Gauri Khatu,
Vibhavari Inamadar |
source |
12 |
| PharmaSUG |
2013 |
Creating a Clinical Summary Table within a Single DATA Step with the Dynamic Trio: DOSUBL(), Hash Objects, and ODS Objects |
Joseph W. Hinson |
source |
14 |
| SGF |
2013 |
Using CALL SYMPUT to Generate Dynamic Columns in Reports |
Bob Lan,
Regan Li,
Sai Ma,
Suwen Li |
source
pdf |
6 |
| PharmaSUG |
2011 |
Creating Customized Patient Profiles using SAS ODS RTF and PROC TEMPLATE |
Andrea Ritter |
source |
10 |
| SGF |
2010 |
Data Simulation for Piloting Clinical Trials Display Programs |
Brandon L. Welch,
Rita Slater |
source |
9 |
| PharmaSUG |
2009 |
%ANYTL: A Versatile Table/Listing Macro |
Yang Chen |
|
11 |
| SGF |
2009 |
Tips and Tricks for Creating the Reports Your Clients Need to See |
Michael J. Molter |
source |
13 |
| NESUG |
2007 |
Tips and Tricks for Creating the Reports Your Clients Need to See |
Mike Molter |
|
13 |
| SCSUG |
2005 |
Automating the Drudgery Away: Using Macros and ODS to Produce (Almost) Complete Reports |
Phil Rhodes |
|
5 |
| SUGI |
2005 |
Automating the Drudgery Away: Using Macros and ODS to Produce (Almost) Complete Reports |
Phil Rhodes |
source |
5 |
| PNWSUG |
2004 |
Bridging the Censuses: An Object-Oriented Metadata-Driven Approach |
Curtis E. Mack |
|
9 |
| SUGI |
2002 |
Unit-of-Analysis Programming |
Vanessa C. Hayden |
source |
6 |
| SUGI |
1997 |
Generic Methodology in Report Building by Using SAS Macros |
Irene Zhao |
source |
5 |
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