In this online course, you will learn basics and advanced SAS clinical programming concepts to read and manipulate clinical data. Using the clinical features and basic SAS programming concepts of clinical trials, this course shows how to import ADAM, CDISC or other standards for domain structure and contents into the metadata, build clinical domain target table metadata from those standards, create jobs to load clinical domains, to validate the structure and content of the clinical domains based on the standards, and to generate CDISC standard define.xml files describing the domain tables for clinical submissions.
Training type: Online
Duration: 4-5 Weeks
Batch Timings: Morning, Evening and Weekend batches available
Who should attend?
Bioinformatics or Life Science Graduates
Job aspirants with basic understanding of clinical programming concepts or statistics
Clinical SAS Programming is used for Clinical Data Integration, Organizing, Standardizing and Managing clinical research data and metadata. It provides the foundation you need to ensure standard, trusted clinical data to support strategic analyses, such as cross-study and advanced safety analysis. With SAS Clinical Programming, you can gain both speed and efficiency by automating repeatable clinical data integration tasks.
Class size is limited—sign up for this course today!
What you’ll learn?
BASE SAS and Advance SAS:
Basic SAS Concepts
Referencing files, setting Options, Editing and debugging SAS Programs
Creating List Reports and Enhanced List and summary reports
Creating SAS data sets from raw data
Understanding DATA step processing
Creating and applying user defined formats
Producing descriptive Statistics
Creating and managing variables
Reading SAS Data sets
Combining SAS data sets
Transferring Data with SAS functions
Generating Data with DO loops and processing variables with Array
Reading Raw Data in fixed fields
Advanced Base/SAS: Macros and Proc Sql
Advanced Base/SAS: Certification Steps
SAS Clinical Programming
Explanation of organizational aspects of the Biometrics department
Basic concepts of Clinical trials
Phase – I, Phase – II, Phase – III, Phase – IV
Data Management & Statistical Methods in Clinical Trails
Access DICTIONARY Tables using the SQL procedure
Explanation of the Clinical trial process
Protocol development
CRF Design and development, Data Management plan
Principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices
Edit check specifications document, Edit check programming
Data querying, Paper CRF and E-CRF studies
Database programming and basic understanding of EDC studies
Annotated CRF’s
Data Querying
Lab data handling – procedures and pitfalls
Patient Profiles, Database Lock
MedDRA®: Overview
CDISC (ODM, SDTM, ADaM and Define.XML), SDTM 3.1.2 and ADAM 1.2 Implementation
Clinical SAS Certification Steps
Resume Formatting
Mock Interviews by SAS Clinical Programmers
Job Placement Marketing
For full curriculum and details contact training@serigor.com or visit us at http://www.showtheropes.com/?page_id=223
Training type: Online
Duration: 4-5 Weeks
Batch Timings: Morning, Evening and Weekend batches available
Who should attend?
Bioinformatics or Life Science Graduates
Job aspirants with basic understanding of clinical programming concepts or statistics
Clinical SAS Programming is used for Clinical Data Integration, Organizing, Standardizing and Managing clinical research data and metadata. It provides the foundation you need to ensure standard, trusted clinical data to support strategic analyses, such as cross-study and advanced safety analysis. With SAS Clinical Programming, you can gain both speed and efficiency by automating repeatable clinical data integration tasks.
Class size is limited—sign up for this course today!
What you’ll learn?
BASE SAS and Advance SAS:
Basic SAS Concepts
Referencing files, setting Options, Editing and debugging SAS Programs
Creating List Reports and Enhanced List and summary reports
Creating SAS data sets from raw data
Understanding DATA step processing
Creating and applying user defined formats
Producing descriptive Statistics
Creating and managing variables
Reading SAS Data sets
Combining SAS data sets
Transferring Data with SAS functions
Generating Data with DO loops and processing variables with Array
Reading Raw Data in fixed fields
Advanced Base/SAS: Macros and Proc Sql
Advanced Base/SAS: Certification Steps
SAS Clinical Programming
Explanation of organizational aspects of the Biometrics department
Basic concepts of Clinical trials
Phase – I, Phase – II, Phase – III, Phase – IV
Data Management & Statistical Methods in Clinical Trails
Access DICTIONARY Tables using the SQL procedure
Explanation of the Clinical trial process
Protocol development
CRF Design and development, Data Management plan
Principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices
Edit check specifications document, Edit check programming
Data querying, Paper CRF and E-CRF studies
Database programming and basic understanding of EDC studies
Annotated CRF’s
Data Querying
Lab data handling – procedures and pitfalls
Patient Profiles, Database Lock
MedDRA®: Overview
CDISC (ODM, SDTM, ADaM and Define.XML), SDTM 3.1.2 and ADAM 1.2 Implementation
Clinical SAS Certification Steps
Resume Formatting
Mock Interviews by SAS Clinical Programmers
Job Placement Marketing
For full curriculum and details contact training@serigor.com or visit us at http://www.showtheropes.com/?page_id=223