Why SAS?
SAS is software where in they can use it in their domain and it is comparitively easy to learn as SAS® is neither a menu-driven nor a command driven application. Rather it relies on user-written scripts or “programs” that are processed when requested to know what to do. Because it is a script-based application, the key to being successful using SAS is learning the rule and tricks of writing scripts.
• Can process large data set(s)
• Easy to cope with multiple variables
• Can track all the operations on the data set(s)
• Can generate systematic output
• Summary statistics
• Graphs
• Regression results
WHY SAS IS THE ANSWER:
Clinical data is sensitive information that should be treated as a valuable asset as well as a regulated commodity. Not only can improper management of clinical data cause the invalidation of an entire clinical trial, but it may also result in strict remedies, including serious financial penalties, from the FDA.
At the time of this writing, the FDA has not issued revised CFR 21 Part 11 guidance. This indicates that the FDA is still struggling with the difficult issue of Part 11 requirements compliance for a clinical database. However, it is known that the FDA does request that all clinical DBMS prevent unauthorized access to data. This requires that data be password protected and allow updates only by authorized users of the clinical DBMS.
The FDA also requires maintenance of complete audit trails for clinical data. Both the entry and revision of clinical data is to be logged to indicate the user performing the action, the date and time of the action, as well as the reason for change of data.
These requirements and many others are all easy goals when working with the SAS System. In addition to being easy to use, SAS is also the choice of the FDA for receiving and reviewing clinical data. The FDA is still requesting SAS transport data sets as the standard for receiving electronically submitted data. At a minimum, each FDA reviewer is equipped with the SAS System Viewer.
Since the use of SAS is essential to clinical information management, keeping clinical data in SAS makes sense. SAS is the government and the industry standard for performing clinical analysis. Reporting is also effectively accomplished using SAS.
Who can pursue SAS
Graduates & PGs from any discipline (MBAs, Commerce, Engineering Life sciences, Arts, Medicine, MCAs Statistics etc) can learn SAS.
Applications
SAS applications are used in
• Financial Services
• Banking
• Insurance
• Retail
• Manufacturing
• Media
• Education
• Communications
• Government
• Hospitality & Entertainment
• SAS Solutions for Small to Medium Businesses
• Aerospace
• Health Insurance
• Automotive
• Energy & Utilities
• Life Sciences
• Government
• Federal Government
• State Government
In the given industries SAS can be used in the following areas
• Customer Relationship Mgmt
• Financial Intelligence
• Human Capital Mgmt
• Profitability Management
• Performance Management
• Risk Management
• Business Intelligence
• Reporting
• Query & Analysis
• Microsoft Office Integration
• Forecasting & Econometrics
• IT Management
• Activity-Based Management
• Compliance (Basel II, Sarbanese Oxly Act etc.)
• Service Intelligence • Supplier Intelligence
• Supply Chain Intelligence
• Web Analytics
•On Demand Solutions
• Data Integration & ETL
• Connectivity & Metadata
• Data Cleansing & Enrichment
• ETL
• Migration & Synchronization
• Data Federation• OLAP
• Integrated Analytics
• Visualization
• Analytics
• Statistics
• Data & Text Mining
• Optimization
• Model Mgmt. and Deployment
• Quality Improvement
• Enterprise Intelligence Platform
• Data Integration & ETL
• Business Intelligence
• Analytics
• Intelligence Storage
source: oceantech and SUGI 29 proceeding
Welcome to StudySAS, your ultimate guide to clinical data management using SAS. We cover essential topics like SDTM, CDISC standards, and Define.XML, alongside advanced PROC SQL and SAS Macros techniques. Whether you're enhancing your programming efficiency or ensuring compliance with industry standards, StudySAS offers practical tips and insights to elevate your clinical research expertise. Join us and stay ahead in the evolving world of clinical data.
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In the spirit of transparency and innovation, I want to share that some of the content on this blog is generated with the assistance of ChatGPT, an AI language model developed by OpenAI. While I use this tool to help brainstorm ideas and draft content, every post is carefully reviewed, edited, and personalized by me to ensure it aligns with my voice, values, and the needs of my readers.
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