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We are excited to join the PharmaSUG 2026 Conference. Meet our speaker and delegate, Laura Williams to learn more about our biometrics expertise. With experience across 500+ projects, our biometrics team brings proven expertise in regulatory submissions, data management, biostatistics, and statistical programming. Don’t miss this chance to connect with us!
Date: June 2 | 11:30 AM–11:50 AM
Location: Momentum Ballroom A
The paper is co-authored by Laura Williams and Andrea Gardani. The findings will be presented by Laura Williams.
It is becoming increasingly more common for clinical studies to allow multiple screenings and/or multiple enrollments for the same subject. There is not well-established guidance from CDISC nor FDA about how these subjects should be handled in SDTM for regulatory submissions. Currently, there is a proposal from CDISC about handling such cases in a special-purpose domain, Demographics as Collected (DC), that could be added to future versions of SDTM. This seems to align with FDA’s suggestions in the Technical Conformance Guide, however FDA does not give formal direction either. However, there are some tips that can be taken from current guidance and used in practice, considering that sponsors should discuss the approach with their FDA reviewer prior to submission. Consider these three possible scenarios: a subject is screened multiple times and fails each time; a subject is screened and fails the first time(s) but upon rescreening is eligible and enrolls; or a subject is enrolled multiple times within the same study. This paper will summarize the current guidance that is available, what is proposed from both CDISC and FDA, and practical examples in SDTM.
Laura Williams
Associate Director, Statistical Programming
Laura has worked in clinical research since 2015 and started her journey in statistics as a research fellow at the United States Environmental Protection Agency in 2011.
Her areas of expertise cover multiple aspects of SAS programming applied to clinical research and data analysis, with a focus on CDISC compliance and figure production. Laura has successfully led multiple projects as a lead programmer and has coordinated large-scale projects and ISS/ISE submission packages recently to successful completion in therapeutic areas such as rare diseases, oncology, and women’s health. She has also worked on 20+ medical device studies, serving as lead programmer on several of them, in indications such as audiology, orthopedics, cardiovascular disease, and ophthalmology.
Laura graduated with a Master’s Degree in Applied Statistics from Pennsylvania State University and a Bachelor’s and Master’s Degree in Biomedical Engineering from Clemson University.
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