Statistical Computing Environment
Increase the efficiency, traceability, and visibility of statistical analyses
Statistical Computing Environment
Increase the efficiency, traceability, and visibility of statistical analyses
30-minute intro to elluminate Statistical Computing Environment (SCE)
Statistical Computing Environment (SCE) in Action
Watch this brief overview video to learn how the elluminate® Statistical Computing Environment (SCE) benefits Clinical Programming and Biostatistician teams.
Automate Statistical Analysis Processes with an Integrated Statistical Computing Environment (SCE)
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.
Increase Development Efficiency
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.
- Gain access to all data and metadata across the system
- Utilize the integrated code editor for comprehensive version control of programs, collaborative editing and review, and full software development lifecycle tracking
- Leverage code snippets, macros, and functions from a Global Library of reusable code
Streamline Execution
- View metadata about the program including location, version history, execution history and data dependencies
- Reproduce results through unified version tracking of code, data, metadata, and execution environment
- Build workflows to support business processes and direct SCE users to assigned tasks that support critical pathways for study deliverables
Automate Workflow
- Schedule programs to execute automatically upon updates to data or completion of other elluminate tasks
- Auto-create programs based on configurable templates
- Visualize data flow – including processes from other elluminate modules – all the way from source to output
Platform Benefits
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:
- Accelerate digital transformation initiatives with the foundation of a proven, end-to-end clinical data platform
- Automate clinical and operational data pipelines with standardization capabilities for all data types and formats, creating a centralized source of truth
- Maximize the value of data with out-of-the-box capabilities and self-service access to data and analytics across studies and programs
Implementation
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.
Learn more about our customers...
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.
BMS Adopts a New Clinical Data Architecture with elluminate
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TRIO Powers Digital Transformation in Clinical Trials for Cancer
Cerevel Designs and Implements a Modernized Data Ecosystem with elluminate
Urovant Streamlines ISS Submission Prep & Planning with eClinical and elluminate
FAQs
What is a Statistical Computing Environment?
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.
What programming languages are compatible with elluminate SCE?
Programs can be written in SAS, R, and Python.
How quickly can elluminate SCE be deployed?
After deployment of the elluminate platform, the SCE can be added and configured in under 2 weeks.
Why elluminate SCE?
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.
Is it possible to maintain a standard centralized code repository including validated (locked) macros in elluminate SCE?
Yes, a library of reusable code snippets, macros, and functions can be built and maintained.
Is it possible to get visual represenations of code dependencies from macros and other programs?
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).
Can I use my own preferred programming interface while keeping the audit trail in elluminate SCE?
Yes, users are able to edit programs within the system and also import / export to view and edit outside of the system.
Can I view a specific data audit trail from origin to analysis results?
Yes, the results of program executions can be viewed through unified version tracking of code, data, metadata, and execution environment
How can I assign tasks and how granular is the task assignment?
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.
Do I have to log out and re-sign in to the system each time I perform a different function (eg auditor vs. programmer)?
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.
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