Statistical Computing Environment
Increase the efficiency, traceability, and visibility of statistical analyses
Watch this brief overview video to learn how the elluminate® Statistical Computing Environment (SCE) benefits Clinical Programming and Biostatistician teams.
The Statistical Computing Environment (SCE) within the elluminate® Clinical Data Cloud provides a central place for all data, metadata, programs, and results – increasing the efficiency, traceability, and visibility of statistical analyses.
SCE allows for the production of submission or exploratory analysis outputs – within and across clinical studies – in a way that is transparent, auditable, automated, reproducible, and secure.
elluminate users can develop and maintain programs and scripts from popular programming languages (SAS, R, and Python) and execute those programs against data within the elluminate Clinical Data Cloud. Program developers can access data from multiple studies and also link to metadata and operational data.
As part of the elluminate Clinical Data Cloud, the Statistical Computing Environment is designed to enhance your statistical analyses and adds to the breadth of the integrated products within the elluminate platform. The unified platform provides a central location for all trial data from acquisition through analytics, enabling users to:
The elluminate implementation team focuses on ensuring clients maximize the value of their clinical trial software investment quickly. Consultants use in-depth drug development knowledge and clinical data analytics expertise to facilitate elluminate rollout, training and adoption.
From high-growth emerging biotechs to the largest life sciences companies in the world, learn how clients are partnering with eClinical Solutions to transform clinical research and drive real measurable results.
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A statistical computing environment is a system that provides a foundation for documenting rigor in the analysis and reporting of clinical trial results. Central to an SCE is the ability to increase the efficiency, traceability, and visibility of statistical analyses. For more information on this subject, please refer to our Ebook: The Digital Statistical Computing Environment (SCE) Playbook for Clinical Development.
Programs can be written in SAS, R, and Python.
After deployment of the elluminate platform, the SCE can be added and configured in under 2 weeks.
The SCE within the elluminate Clinical Data Cloud provides one centralized place for all data, metadata, programs, and results increasing the efficiency, traceability, and visibility of statistical analyses. elluminate SCE enhances the value of taking a platform approach by leveraging data, standards, and mappings to maximize reuse and increase programming and analyses efficiencies.
Yes, a library of reusable code snippets, macros, and functions can be built and maintained.
Yes, elluminate SCE enables users to track dependencies and view the flow of data from source to output, seeing not only SCE programs, but steps from other areas of elluminate (including Importer and Mapper).
Yes, users are able to edit programs within the system and also import / export to view and edit outside of the system.
Yes, the results of program executions can be viewed through unified version tracking of code, data, metadata, and execution environment
Task-based workflows can be built to support your business processes. Rather than traversing a directory tree and picking programs, SCE users are quickly directed to their assigned tasks and see in context how their efforts support the critical pathway for study deliverables.
No. Role-based permissions allow users to accomplish all of the tasks associated with their various roles and to seamlessly transition from one type of function to another.
Schedule a demo and/or speak to an eClinical Solutions representative to learn more.