PharmaSUG Single Day Event
University of North Carolina, Chapel Hill, NC
October 22-23, 2020
e-Submission, CDISC and New Technology – Together Towards Tomorrow

We are pleased to let you know that PharmaSUG’s NC Single-Day-Event (SDE) 2020 is ON SCHEDULE. With our 2020 annual conference having been cancelled, let’s get connected in this 1-day event in NC.

Following PharmaSUG’s tradition, the NC SDE 2020 committee is hard at work planning another fabulous event featuring a day-long oral presentations by renowned speakers in the industry. We have also added a pre-event training seminar on Thursday, October 22.

  • Enjoy oral presentations by renowned speakers
  • Learn new tips and techniques
  • Share best practice with attendees from other companies
  • Discuss issues with experts
  • Connect with friends and colleagues
  • Build relationship with new friends

Online registration is slated to open in June 2020. Please contact our SDE Co-Chairs, Margaret Hung and Matt Becker, at This email address is being protected from spambots. You need JavaScript enabled to view it. if you have any questions, or are interested in volunteering.

Event registration is $95 if registered by October 9, 2020, and $110 after October 9, 2020. The registration fee includes a full breakfast, buffet lunch and two refreshment breaks. Training seminar registration is $190 on or before October 9, 2020, and $240 if registered after October 9.

Sponsored by:
PRA Pinnacle21 Rho

Thursday, October 22, 2020 All-Day Pre-Conference Seminar

TimePresentation (click for abstract)Presenter (click for bio)
7:30 AM - 8:30 AMSeminar Registration and Breakfast
8:30 AM - 4:30 PMCDISC ADaM – Implementation by ExampleRichann Watson, DataRich Consulting

Friday, October 23, 2020 Single-Day Event

TimePresentation (click for abstract)Presenter (click for bio)
7:30 AM - 9:30 AMRegistration and Breakfast
8:30 AM - 4:30 PMConference Program (TBA)

Sponsorship Opportunities

Participating as a sponsor is a great way to market your company's product and services. Download our sponsorship program (PDF, 156K) and application form (Word doc, 63K) for further details. For questions about our sponsorship program, please contact This email address is being protected from spambots. You need JavaScript enabled to view it..

Seminar and Presentation Abstracts

CDISC ADaM – Implementation by Example
Richann Watson, DataRich Consulting

This course will provide a high-level overview of some of basic ADaM concepts. It is assumed that the attendee will have a fundamental knowledge of the different ADaM structures and principles. The primary focus of the course is to illustrate the implementation of some of the concepts found in both the ADaM Implementation Guide (ADaM IG) and the ADaM Structure for Occurrence Data (OCCDS) documents. Items covered include setting up subject level analysis data set (ADSL) for common trial designs and walking through the process of creating a basic data structure (BDS) starting from a simple BDS and building on it to structure a data set that will support one or more analyses. Additionally, the course will demonstrate how to implement some variables that are only found in OCCDS, such as the standardized MedDRA query (SMQ) and customized query (CQ) variables.

Materials: Printed copy of the slides set up for note taking.
SAS Software Packages: N/A
Intended Audience: Individuals who have a knowledge of different ADaM structures and principles
Length and Format: Full-day lecture

Course Outline:
  • ADaM Overview
  • SDTM vs ADaM
  • Fundamental Principles
  • High-level overview of data structures
    • ADSL
      • Illustration of Common Trial Designs
    • BDS
      • Illustration of a simple BDS
      • Build on simple structure by adding additional variables such as
        • Analysis Visit Windowing Variables
        • Descriptor and Indicator Variables
        • Category and Criterion Variables
      • OCCDS
        • Illustration of a simple AE and CM data set
        • Illustration of an OCCDS that does not have coding or a hierarchy
        • Build on a simple AE data set by adding additional variables such as
          • AEs of Special Interest Variables
          • Occurrence Flag Variables

Presenter Biographies

Richann Watson

Richann Watson is an independent statistical programmer and CDISC consultant based in Ohio. She has been using SAS since 1996 with most of her experience being in the life sciences industry. She specializes in analyzing clinical trial data and implementing CDISC standards. Additionally, she is a member of the CDISC ADaM team and various sub-teams. Richann loves to code and is an active participant and leader in the SAS User Group community. She has presented numerous papers, posters, and training seminars at SAS Global Forum, PharmaSUG, and various regional and local SAS user group meetings. Richann holds a bachelor’s degree in mathematics and computer science from Northern Kentucky University and master’s degree in statistics from Miami University.