For decades, SAS has been regarded as the industry standard for statistical programming and regulatory submissions in clinical trials. However, the analytics landscape is rapidly evolving. With the rise of open-source innovation, reproducible research frameworks, AI integration and cost-conscious technology strategies, R has emerged as a powerful alternative and, increasingly, a strategic choice for clinical data analytics.
This webinar explores whether R is positioned to take a leading role in the future of clinical research. The featured speakers will examine the technical, operational and regulatory factors driving the shift, including advances in validation frameworks, package governance, reproducibility tools and compliant computing environments. Real-world adoption trends among pharmaceutical and biotech companies will be discussed, as will the growing integration of R into modern data science ecosystems and AI-enabled workflows.
Importantly, this webinar will address the key concerns that often arise in regulated settings: validation, 21 CFR Part 11 compliance, auditability, package control and long-term sustainability. Rather than framing the discussion as a binary “R vs. SAS” debate, this session will provide a balanced and strategic perspective on how organizations can design future-ready statistical computing environments that align with regulatory expectations while maximizing innovation and efficiency.
Register for this webinar to learn how R can support a compliant, future-ready approach to clinical data analytics.
Speakers
Peng Zhang, PhD, Associate Director of Innovative Data Sciences, CIMS Global
Bio coming soon
Message PresenterWho Should Attend?
This webinar will be relevant to professionals across pharma, biotech, life sciences research organizations and CROs, particularly those involved in clinical data, analytics and digital leadership roles, including:
- Biostatistics and biometrics leaders
- Clinical data strategy, management and operations professionals
- Statistical programming and analytics decision-makers
- Clinical compliance and quality leaders
- IT and digital transformation stakeholders supporting clinical development
What You Will Learn
Attendees will gain insights into:
- The evolving regulatory and technological landscape
- Governance and validation strategies for R in GxP environments
- Organizational considerations when transitioning analytic platforms
- A forward-looking vision for modern clinical data analytics
Xtalks Partner
CIMS Global
With over 16 years of industry experience, CIMS has pioneered the reshaping of clinical trials with novel technologies and services that streamline and fast-tracks clinical trials creating pathways for life-saving therapies. We bridge the gap between visionary researchers and effective treatments with speed and reliable data with a powerful toolkit.
CIMS Global specializes in delivering innovative data science services and solutions for clinical trials. By leveraging proprietary and advanced technologies, including Artificial Intelligence (AI), Large Language Models (LLM), Natural Language Processing (NLP), and Machine Learning (ML) coupled with advanced statistical methodologies, CIMS Global accelerates and enhances the quality and efficiency of clinical trial data acquisition, processing, analysis, and regulatory submissions.
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