| PharmaSUG CN |
2026 |
From SAP to TFL: An AI-Assisted Workflow Framework for Automated Shells and TFLs |
Xiaoyu Ding, Guoqing Zhao, Huafeng Gao, Zhiyuan Guo |
source |
18 |
| PharmaSUG CN |
2026 |
The reporter package: A Powerful Reporting Package to Replicate SAS Output |
Bill Huang |
source |
24 |
| PharmaSUG |
2026 |
Interactive Safety Data Visualization Platform: Transforming Adverse Event Analysis Review Through Dynamic Dashboards in Clinical Trials |
Nishanth Chinthala, Alexandr Hromcenco |
source |
5 |
| PHUSE US |
2026 |
Comparing Medical Queries with Interactive Graphics using JMP Clinical |
Chris Kirchberg |
source presentation source |
7 |
| PHUSE US |
2026 |
Open Source Pavilion: Metadata-driven Automation Interactive [presentation] |
Orla Doyle, Rammprasad Ganapathy |
source |
28 |
| PharmaSUG |
2025 |
Clopper Pearson CI? get your data ready for it! |
Ruth Marisol Rivera Barragan, Isaac Vazquez |
source |
7 |
| PharmaSUG |
2025 |
Hands-on Training: eTFL Portal & TFL Designer Community |
Bhavin Busa |
source |
8 |
| PHUSE US |
2025 |
Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management |
Jaime Yan |
source presentation source |
28 |
| PHUSE US |
2025 |
Selecting GeARS: Analysis Results Standard Implementation Options for Accelerated Analysis and TFL Automation |
Bhavin Busa, Richard Marshall |
source presentation source |
10 |
| PHUSE US |
2025 |
The Development of the CDISC eTFL Portal To Support the Adoption and Implementation of the Analysis Result Standard |
Bess LeRoy, Bhavin Busa |
source presentation source |
8 |
| PHUSE EU |
2024 |
Interactive reporting using FDA Standard Safety Shells and CDISC Analysis Results Standard |
Megan Harries |
source presentation source |
5 |
| PHUSE EU |
2024 |
The Development of the CDISC eTFL Portal to Support the Adoption and Implementation of the Analysis Results Standard |
Bess LeRoy, Bhavin Busa |
source presentation source |
8 |
| SESUG |
2024 |
Efficient Way to Create Adverse Event (AE) Summary Tables by System Organ Class (SOC) and Preferred Term (PT) using PROC SQL in SAS |
Hardik Sheth |
source |
8 |
| PharmaSUG |
2024 |
Comparing SAS and R Approaches in Creating Multicell Dot Plots in Statistical Programming |
Yi Guo |
source |
14 |
| PharmaSUG |
2024 |
Creating Adverse Event Tables using R and SASSY System |
Vicky Yuan |
source |
11 |
| PharmaSUG |
2024 |
Demystifying Incidence Rates: A Step-by-Step Guide to Adverse Event Analysis for Novice Programmers |
Yuting Peng, Ruohan Wang |
source |
10 |
| PharmaSUG |
2024 |
Pictorial Representation of Adverse Events (AE) Summary - A new perspective to look at the AE data in Clinical Trials |
Pradeep Acharya, Anurag Srivastav |
source |
11 |
| PHUSE US |
2024 |
USUBJID Challenges: Representing Multiple Participations for Analysis and Reporting |
Emily Bernstein-Hanlon, Sirisha Davuluri |
source presentation source |
9 |
| PHUSE EU |
2023 |
Building an integrated pre-clinical and clinical data platform to enable rapid translational data review |
Brenda Finney, Ali Dootson Instem |
source presentation source |
12 |
| WUSS |
2023 |
Generation of AE (Adverse Events) summary tables by worst CTC Grade utilizing SAS |
Ballari Sen |
source |
14 |
| PharmaSUG |
2023 |
Introducing TFL Designer: Community Solution to Automate Development of Mock-up Shells and Analysis Results Metadata [presentation] |
Bhavin Busa, Navin Dedhia |
source |
13 |
| PHUSE US |
2023 |
Friends Don't Let Friends Make Ugly Dashboards [presentation] |
Marcia Powers, Deidre Kreifels |
source video |
14 |
| PHUSE EU |
2022 |
Best Practices for Automated Delivery Set-up, from Raw Data to CRT, with Methods to Standardise and Streamline Programming and Delivery Processes [presentation] |
Daniel Carden |
source video |
21 |
| WUSS |
2022 |
Child Data Set: An Alternative Approach for Analysis of Occurrence and Occurrence of Special Interest |
Lindsey Xie, Richann J. Watson, Jinlin Wang, Lauren Xiao |
source |
15 |
| PharmaSUG |
2022 |
ADaM Child Data Set: An Alternative Approach for Analysis of Occurrence and Occurrence of Special Interest |
Lindsey Xie, Richann J. Watson, Jinlin Wang, Lauren Xiao |
source |
15 |
| PHUSE US |
2022 |
'Verify Outputs' Product Demonstration: Validation of Statistical Outputs Using Automation [presentation] |
Ilan Carmeli, Yoran Bar |
source video |
17 |
| PHUSE US |
2022 |
Real-time Interactive Dashboard for Clinical Trials [presentation] |
Kris Liu |
source |
9 |
| PHUSE EU |
2021 |
Visualising Knowledge Graphs: Information Solution or Ball of Confusion? [presentation] |
Tim P. Williams |
source video |
57 |
| PHUSE US |
2021 |
Do EudraCT the Easy Way: Semi-automation of Inputting Study & Treatment Event Information in EudraCT [presentation] |
Kevin Miller, Larry Sleeper |
source video |
21 |
| PHUSE US |
2021 |
Dynamic Macro Using the Convergence Dataset to Generate the Odds Ratio (OR), Risk Ratio (RR) and Risk Difference (RD) per SOC and PT Using the Genmod Procedure [presentation] |
Jagadish Katam |
source video |
26 |
| PHUSE US |
2021 |
FDA & PMDA Validator Rules - What, Why and How ... But Should You Care? [presentation] |
Charanjit Kahlon, Kishore Pothuri |
source video |
21 |
| PHUSE US |
2021 |
Indenting Lengthy Text Strings in PROC REPORT Outputs [presentation] |
Jeppe Juul, Kavita Math |
source video |
19 |
| PharmaSUG |
2021 |
Graphical Representation of Clinical Data using Heat Map Graph |
Pavani Potuganti, Sree Nalluri |
source |
10 |
| PharmaSUG |
2021 |
Macro Development from Design to Implementation Applied to Occurrence Data Frequency Analysis |
Chengxin Li, Michael Pannucci, Toshio Kimura |
source |
9 |
| PHUSE EU |
2020 |
Preparing for FDA and PMDA Submission Simultaneously - What to Leverage, How to Deal with the Differences Efficiently [presentation] |
Jasmine Kestemont |
source video |
22 |
| SESUG |
2020 |
Upgrading Clinical Trial Reports from ODS LISTING to ODS TAGSETS.RTF |
Christopher J. Smith |
source |
25 |
| SGF |
2020 |
Upgrading Clinical Trial Reports from ODS LISTING to ODS TAGSETS.RTF |
Christopher J. Smith, Joshua M. Horstman |
source |
25 |
| PharmaSUG |
2020 |
Macro for controlling Page Break options for Summarizing Data using Proc Report |
Sachin Aggarwal, Sapan Shah |
source |
7 |
| PHUSE US |
2020 |
Interactive Adverse Event Data Visualization Using R Shiny |
Aditya Rachoori, Mukul K Mittal |
source |
9 |
| WUSS |
2019 |
Bespoke outputs, just like everyone else's: using the SAS Macro Language to create template programs for standard presentations of your client's clinical trial data |
Sean-Paul A. Claypool |
source |
9 |
| PHUSE US |
2019 |
Adverse Events of Special Interest (AESI) Tabulation |
Chuanfeng Shih |
source presentation source |
5 |
| SESUG |
2017 |
A Macro for Generating the Adverse Events Summary for ClinicalTrials.gov |
Andrew Moseby, Maya Barton |
source |
7 |
| MWSUG |
2017 |
Patient Safety with SAS Visual Analytics |
Piyush K. Singh, Prasoon Sangwan, Ghiyasuddin Mohammed Faraz Khan |
|
12 |
| PharmaSUG |
2017 |
Innovation and Regulatory Review What is JumpStart? |
Alan Shapiro |
source |
24 |
| WUSS |
2016 |
Indenting with Style |
Bill Coar |
source |
7 |
| PharmaSUG |
2016 |
AE: An Essential Part of Safety Summary Table Creation |
Rucha Landge |
source |
12 |
| PharmaSUG |
2016 |
SAS Macro for Summarizing Adverse Events |
Julius Kirui, Rakesh Mucha |
source |
11 |
| SESUG |
2015 |
Reporting of treatment emergent adverse events based on pooled data Analysis or Country Specific Submissions: A case study |
Sheetal Shiralkar |
source |
8 |
| PharmaSUG CN |
2015 |
Hands-On ADaM ADAE Development |
Sandra Minjoe |
|
7 |
| PharmaSUG |
2015 |
A Practical Approach to Create Adverse Event Summary by Toxicity Grade Table |
Zhengxin (Cindy) Yang |
source |
8 |
| PHUSE EU |
2014 |
Exploring Safety and Diagnostic Data using Self-Organising Maps |
Colin de Klerk |
source presentation source |
9 |
| PHUSE EU |
2014 |
MedDRA - Beyond that Basic AE Report. How SMQs and MedDRA Structure can Enhance Reporting |
Pamela J. Giese |
source presentation source |
9 |
| PharmaSUG |
2014 |
Common and Comparative Incidence Indicators of Adverse Events for Well-Defined Study Pools |
John R. Gerlach |
source |
7 |
| PharmaSUG |
2014 |
Hands-On ADaM ADAE Development |
Sandra Minjoe, Kimberly Minkalis |
source |
7 |
| SESUG |
2013 |
Imputing Dose Levels for Adverse Events |
John R. Gerlach, Igor Kolodezh |
source |
8 |
| PharmaSUG |
2013 |
Efficient Statistical Review Using the ExcelXP Tagset |
Bradford J. Danner |
source |
5 |
| PharmaSUG |
2013 |
Everything You Need To Know About Standardised MedDRA Queries |
Rajkumar Sharma |
source |
6 |
| PharmaSUG |
2013 |
Hands-On ADaM ADAE Development |
Sandra Minjoe |
source |
7 |
| PharmaSUG |
2013 |
Imputing Dose Levels for Adverse Events |
John R. Gerlach, Igor Kolodezh |
source |
8 |
| PharmaSUG |
2013 |
MedDRA - Beyond that Basic AE Report. How SMQs and MedDRA Structure can Enhance Reporting |
Pamela J. Giese |
source |
10 |
| PharmaSUG |
2013 |
The Hash of Hashes as a "Russian Doll" Structure: Application to Clinical Adverse Events Data Analysis |
Joseph W. Hinson |
source |
12 |
| PharmaSUG |
2013 |
Traceability in the ADaM Standard |
Ed Lombardi |
source |
8 |
| SGF |
2013 |
Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP |
Richard C. Zink |
source |
13 |
| SGF |
2013 |
Using the ADaM ADAE Structure for Non-AE Data |
Mario Widel, Sandra Minjoe |
source |
13 |
| NESUG |
2012 |
Kick It Old School - Creating Reports with the DATA _NULL_ Step |
Sai Ma, Suwen Li, Minlan Li |
|
10 |
| PharmaSUG |
2012 |
Experience of Generating an XML file and Uploading Serious and Frequent Adverse Events to ClinicalTrials.gov |
Juan Wu, Min Lai |
source |
9 |
| PharmaSUG |
2012 |
PROGRAMMER'S SAFETY KIT: Important Points to Remember While Programming or Validating Safety Tables |
Sneha Sarmukadam, Sandeep Sawant |
source |
11 |
| SGF |
2012 |
ODS PDF and RTF Application Development: Steps to Ensure Success and Examples of Useful Coding Techniques |
Benno F. Kurch |
source |
12 |
| NESUG |
2011 |
A Practical and Efficient Approach in Generating AE (Adverse Events) Reports Within a Clinical Study Environment |
Jiannan Hu |
|
8 |
| PHUSE EU |
2010 |
GSTARS a complete strategy for the reporting [presentation] |
Alain Vasseur |
source |
30 |
| SGF |
2010 |
Data Simulation for Piloting Clinical Trials Display Programs |
Brandon L. Welch, Rita Slater |
source |
9 |
| PHUSE EU |
2009 |
Coding dictionaries information: How to manage? How to use? |
Guimard Herve, Eric Sorel |
source presentation source |
2 |
| PharmaSUG |
2009 |
%ANYTL: A Versatile Table/Listing Macro |
Yang Chen |
|
11 |
| PharmaSUG |
2009 |
A SAS Macro for Creating Adverse Event Analysis Dataset |
Daniel Li, Suwen Li, Stephanie Sproule |
|
10 |
| PharmaSUG |
2009 |
A Statistical Analysis System for Categorical Data using SAS |
Cheng Jun Tian |
|
10 |
| PHUSE EU |
2008 |
Statistically guided review of safety data in clinical trials |
Michael O'Connell, Harry Southworth |
source |
12 |
| NESUG |
2008 |
Multiple Adverse Event Tables without Surgical Intervention |
Adel Fahmy, Carol Matthews |
|
11 |
| PharmaSUG |
2008 |
Automate Compiling Clinical Appendix Tables and Listings into a Review Package with a Hyper-Linked Table of Contents |
Xiangchen (Bob) Cui, Wei Zhang |
|
20 |
| PharmaSUG |
2008 |
EZTABLE Macros |
Daniel Huang |
|
12 |
| NESUG |
2007 |
Great Expectations of PROC FORMAT - Applications All You Can Do with Formats in the SAS System |
John He, Ram Valluru |
|
8 |
| PHUSE EU |
2007 |
Bayesian Modelling with SPLUS and the S+flex Bayes library |
Andrew Jack, Dawn Woodard |
source |
11 |
| PharmaSUG |
2007 |
A Scalable Platform For Clinical Trials - Interoperability And Automation In A Web-Based Environment |
John R. Gerlach, Maulik Shah |
|
11 |
| PharmaSUG |
2007 |
Challenge the Specs |
Catherine Edwards |
|
7 |
| PharmaSUG |
2007 |
Using the SAS Information Delivery Portal in the Pharmaceutical Sector |
Raymond Ebben |
|
12 |
| PHUSE EU |
2006 |
Using the SAS Information Delivery Portal in the Pharmaceutical Sector |
Raymond Ebben |
source |
12 |
| NESUG |
2006 |
Using PROC CDISC |
Chauthi Nguyen |
|
5 |
| PharmaSUG |
2006 |
Page Breaks: Simple and Effective Ways to Neatly Present Data |
Suzanne M. Humphreys |
|
9 |
| PHUSE EU |
2005 |
Implementing Shared Column Variables |
Shan Lee |
source |
8 |
| PharmaSUG |
2004 |
One Frequency Macro for All Frequency Tables |
Sam Mao |
|
9 |
| SEUGI |
1998 |
Development of an interactive review and reporting tool based on SAS/PH-Clinical software [presentation] |
Sylvia Pratz |
source |
33 |
| SEUGI |
1989 |
SAS/AF Software In Clinical Data Applications |
Mark Crawford |
source |
26 |