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PLEASE NOTE: All listed webinars are in US Eastern time, unless otherwise indicated.
This webinar will provide an overview of the Analysis Results Standard (v1.0) to support Public Review for this standard.
Analysis results play a crucial role in the drug development process, providing essential information for regulatory submission and decision-making. However, the current state of analysis results reporting is suboptimal with limited standardization and poor traceability. Currently, analysis results (e.g., tables, figures, and listings) are often presented in static, PDF-based reports that are difficult to navigate and vary between sponsors. Moreover, these reports are expensive to generate and offer limited reusability. The CDISC Analysis Results Standard (ARS) Model and accompanying User Guide have been developed to support automation, consistency, traceability, and reuse of results data.
Presenter(s)
Bhavin Busa, Clymb Clinical
Bess LeRoy, CDISC
Richard Marshall, CDISC
Language
English
COSA is thrilled to invite you to our upcoming Spotlight Event, where we will unveil the remarkable solutions from the recent CDISC Analysis Results Standard (ARS) Hackathon. Mark your calendars and be part of this exciting readout session!
Event Highlights:
- Hear from the participants behind the innovative solutions that emerged from the ARS Hackathon.
- Gain insights into how these solutions drive the adoption of the CDISC Analysis Results Standard.
- Discover how open-source tools are revolutionizing the operationalization of data analysis.
- Learn how hackathon learnings are enhancing data standards.
Featured Solutions:
1. ARD Generator by Karl Wallendszus: A SAS-based tool for streamlined data analysis using ARS metadata.
2. {cards} R Package by Daniel D. Sjoberg: An automated approach to enhance result generation and traceability.
3. ARS Specification by Paul Thomas: A REACT + TypeScript Basic Front-End for simplified ARS specification.
4. ARS in Action by Malan Bosman: Demonstrating the real-world potential of the ARS model.
Presenter(s)
Language
English