Thanks to everyone who presented a paper at PharmaSUG 2022. There were many outstanding paper presentations. The section chairs awarded the status of Best Paper to the following papers:

Advanced Programming

AP-030. A Quick Look at Fuzzy Matching Programming Techniques Using SAS® Software
Stephen Sloan, Accenture
Kirk Paul Lafler, sasNerd

AP-171. Self Modifying Macro to Automatically Repeat a SAS Macro Function
Chary Akmyradov, Arkansas Children's Research Institute

Applications Development

AD-076. Exploring R as a validation tool for statistical programming in clinical trials
Uday Preetham Palukuru, Merck & Co.
Runcheng Li, MERCK
Nileshkumar Patel, MERCK
Changhong Shi, MERCK

AD-150. Working with Dataset-JSON using SAS©
Lex Jansen, CDISC

Artificial Intelligence (Machine Learning)

AI-116. Potential features analysis affect Covid-19 spread
Yida Bao, Auburn University

Data Standards

DS-002. Subjects Enrolled in Multiple Cohorts within a Study- Challenges and Ideas

Data Visualization and Reporting

DV-088. Generating Forest and Kaplan Meier graphs for Regulatory Submission: Comparison of SAS and R
Girija Javvaji, Covance Inc
Sivasankar Konda, Covance Inc


EP-156. Automation of Clinical Data extracts using Cloud Applications
Syam Prasad Chandrala, Allogene
Madhusudhan Nagaram, Allogene Therapeutics
Chaitanya Chowdagam, Ephicacy Lifescience Analytics
Jegan Pillaiyar, Ephicacy Lifescience Analytics
Kunal Chattopadhyay, ZS Associates

Leadership Skills

LS-137. Empower Your Programmers: Get the Most from Your Programming Team
Carol Matthews, Advance Research Associates, Inc.

Quick Tips

QT-169. A Beginner’s Guide to Create Series Plots Using SGPLOT Procedure: From Basic to Amazing
Aakar Shah, Neoleukin Therapeutics
Tracy Sherman, Ephicacy

Real World Evidence and Big Data

RW-192. Introduction to Synthetic Control Arm
Venkat Rajagopal, Ephicacy Consulting Group
Abhinav Jain, Ephicacy Consulting Group

Statistics and Analytics

SA-123. An Expanded Set of SAS Macros for Calculating Confidence Limits and P-values Under Simon’s Two-Stage Design Accounting for Actual and Planned Sample Sizes
Mikhail Melikov, Cytel
Alex Karanevich, EMB Statistical Solutions

Strategic Implementation

SI-055. Implementing and Achieving Organizational R Training Objectives
Jeff Cheng, Merck & Co., Inc.,
Abhilash Chimbirithy, Merck & Co.
Amy Gillespie, Merck & Co., Inc.,
Yilong Zhang, Merck & Co., Inc.,

Submission Standards

SS-035. FDA Advisory Committee Meetings– A Statistical Programmer’s Survival Guide
Phil Hall, Edwards Lifesciences