Fact Sheet
Statistical Computing Environment
Accelerate & automate statistical analyses
The Statistical Computing Environment (SCE) within the elluminate® Clinical Data Cloud provides one centralized place for all data, metadata, programs, and results. This increases the efficiency, traceability, and visibility of your statistical analyses. Programmers and statisticians develop and maintain programs and scripts from popular programming languages (SAS, R, and Python) and execute those programs against data within the platform. elluminate SCE enhances the value of taking a platform approach by leveraging data, standards, and mappings to maximize reuse and increase programming and analysis efficiencies. Key Benefits Increase Development Efficiency ■ Gain access to all data and metatdata across the system ■ Utilize integrated code editor for full comprehensive version control of programs and flexible code editing ■ Leverage code snippets, macros and functions from a Global Library of reusable code
Streamline Execution
Automate Workflow
■ View metadata about the program including location, version history, execution history and data dependencies
■ Schedule programs to execute automatically upon updates to data
■ 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
■ Auto-create programs based on configurable templates ■ Visualize data flow from source to output, including processes from other elluminate modules
Fact sheet – elluminate Statistical Computing Environment (SCE)
Key Features
SCE - Execution History
Version Control & Execution History
Execution History
View the results of program executions and history over time. Leverage complete reproducibility of results through unified version tracking of code, data, metadata, and execution environment.
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Line 348
Error - Variable USUBJID not found.
344 by usubjid aestdtc; 345 run; NOTE: There were 1568 observations read from the data set WORK.AE. NOTE: The data set WORK.AE has 1568 observations and 106 variables. NOTE: PROCEDURE SORT used (Total process time): real time
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347 proc sort data = sv; 348 by usubjid aestdtc; ERROR: Variable USUBJID not found. 349 run; NOTE: The SAS System stopped processing this step because of errors. NOTE: PROCEDURE SORT used (Total process time): real time
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SCE - Task Workflow
Task-Based Workflows:
Create TLF
Build workflows 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. </> Developer
Programmer
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Reviewer
QA
Production
SCE - Data Flow
Dependency Tracking & Visualizations:
Dataflow
View the flow of data from source all the way to target, seeing not only SCE programs, but steps from other areas of elluminate (including Importer and Mapper) to visualize end-to-end workflows.
Data Source
Import
Dataset Adverse Events
Mapping
Dataset Subject Visits
Dataset Adverse Events
SAS Program
Dataset Demographics Subject-Level Analysis
SAS Program
Listing of Medical History
drugTrial Analysis.log
Chart Medical History
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