Thanks to everyone who presented a paper at PharmaSUG 2021. There were many outstanding paper presentations, which had to be recorded by the authors in advance. The section chairs awarded the status of Best Paper to the following papers:

Advanced Programming

AP-103. Developing SAS Macro to Find Subject's Latest Available Date from Entire Database
Raghava Pamulapati, Merck
Sandeep Meesala, Merck

AP-106. Bookdown and Blogdown: Deep Dive of the R Packages and Components Needed to Create Documentation and Websites
Benjamin Straub, GlaxoSmithKline

Applications Development

AD-100. A Metadata Driven Approach to Mock TFL Generation
Anne Petersen, Novo Nordisk A/S
Cristina Boschini, Novo Nordisk A/S
Tobias Kröpelin, Novo Nordisk A/S

AD-179. Macro to Compare Titles and Footnotes in Produced TLF and Corresponding Shells
Igor Goldfarb, Accenture
Ella Zelichonok, Naxion

Artificial Intelligence (Machine Learning)

AI-049. How I became a Machine Learning Engineer from a Statistical Programmer
Kevin Lee, Genpact

Data Standards

DS-081. Adding Rows to a BDS Dataset: When to Use DTYPE in Addition to Metadata
Sandra Minjoe, PRA Health Sciences

Data Visualization and Reporting

DV-187. Dressing Up your SAS/GRAPH and SG Procedural Output with Templates, Attributes and Annotation
Louise Hadden, Abt Associates Inc.

e-Posters

EP-057. Generating .xpt files with SAS, R and Python
Yuting Tian, Vertex Pharmaceuticals
Todd Case, Vertex Pharmaceuticals

EP-146. e-Submissions Key Difference of FDA and PMDA
Giri Prasad, Covance Pvt Ltd.
Hareeshkumar Gurrala, Covance Pvt Ltd.

Leadership Skills

LS-193. Leadership and Programming
Kriss Harris, SAS Specialists Ltd.

Medical Devices

MD-038. Types of Devices in Therapeutic Area User Guides
Carey Smoak, Aerotek

Quick Tips

QT-027. What Kind of WHICH Do You CHOOSE to Be?
Richann Watson, DataRich Consulting
Louise Hadden, Abt Associates Inc.

QT-111. A Unique Way to Identify the Errors in SDTM Annotations Using SAS
Xingxing Wu, Eli Lilly and Company
Bala Dhungana, Eli Lilly and Company

Real World Evidence and Big Data

RW-209. Standardizing Laboratory Data From Diverse RWD to Enable Meaningful Assessments of Drug Safety and Effectiveness
Irene Cosmatos, UBC
Michael Bulgrien, UBC

Statistics and Analytics

SA-032. Back to Basics: Running an Analysis from Data to Refinement in SAS
Deanna Schreiber-Gregory, Henry M Jackson Foundation for the Advancement of Military Medicine

Strategic Implementation

SI-046. PROC FUTURE PROOF v1.1-- Linked Data
Amy Gillespie, Merck & Co., Inc.
Susan Kramlik, Merck & Co., Inc.
Suhas Sanjee, Merck & Co., Inc.
Jindřich Mynarz, MSD Czech Republic
Danfeng Fu, MSD China

Submission Standards

SS-110. Assembling Reviewer-friendly eSubmission Packages
Shefalica Chand, Seattle Genetics, Inc.