Training in SAS Clinical Programming

High Technologies Solutions
In New Delhi

Price on request
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Important information

Description

Important information
Venues

Where and when

Starts Location
On request
New Delhi
High Technologies Solutions 231/1, Sector-1, Shastri Nagar, Delhi, India
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On request
New Delhi
High Technologies Solutions C-98, Sec-2, 201301, Delhi, India
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On request
New Delhi
High Technologies Solutions E-1/1, Sector 7, Main Road, Rohini(opp. M2K Cinema), Delhi, India
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On request
New Delhi
High Technologies Solutions 89, Mall Road, 1st & 2nd Floor, Kingsway Camp Near GTB Metro station gate number 1 , Delhi, India
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On request
New Delhi
High Technologies Solutions N-22, Kalkaji, 110019, Delhi, India
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Course programme

Understanding the environment and setting the stage ► Regulatory Environment: Requirements, Standards and Clinical Data · US Code of Federal Regulations (CFR) Title 21 Part 11 requirements · Creating the required documentations for effective impact · FDA expectations and QA Audits · Clinical data flow and structure ► Overview of Regulatory Processes and SAS Techniques · Process for creating and validating output · Various techniques to address requirements · Sample Clinical Study - Summary Table, Data Lists, Graph · Analysis of potential set backs ► Understanding and Applying the QC Plan · Differences between Quality Control and Reviewer/Quality · Assurance · Applying methods to validate programs from QC Plan · Completing tasks with Validation Documentation Producing Summary Tables, Data Lists and Graphs ► Programming standards, conventions and training for improved Productivity · Program Index and Directory Structure for better organization · Software Development Life Cycle (SDLC) for accurate, reliable, and validated results · Information in the Program Header · Anatomy of a SAS Application Program ► Creating Summary Tables, Data Lists, and Graphs · Developing Summary Tables · Developing Data Lists · Developing Graphs · Clinical Trials Reporting Templates ► Identifying data-related issues using edit checks and validation macros · Focus on generating output instead of writing SAS code · Easier to read SAS code that would traditionally be lengthy · Power and flexibility of Proc SQL for queries and validation · Data integrity with edit checks as PDF file · Automate communication of updated data sets and output files

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