Statistical Computing Environment Fact Sheet

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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.

September 14, 2021 11:04 14:22 14:50 September 9, 2021 11:04 12:22

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

0.00 seconds

cpu 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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cpu 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

Learn More eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud - the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location; plus, advanced analytics that help them make smarter, faster business decisions.

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For more information or to request a demonstration, visit us at: eclinicalsol.com Or email us at: info@eclinicalsol.com

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