For full curriculum and batch details contact training@serigor.com or call us at +1-443-687-9600 br Visit us at br OR br br br Course Details: br In this course, you will learn basics and advanced SAS concepts to read and manipulate clinical data. Using the clinical features and basic 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. br br Training type: Online br Duration: 4-5 Weeks br Batch Timings: Morning, Evening and Weekend batches available br br Who should attend? br Bioinformatics or Life Science Graduates br Job aspirants with basic understanding of clinical concepts or statistics br SAS Clinical Data Integration organizes, standardizes and manages 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, you can gain both speed and efficiency by automating repeatable clinical data integration tasks. br br Class size is limited—sign up for this course today! br br What you’ll learn? br BASE SAS and Advance SAS: br Basic SAS Concepts br Referencing files, setting Options, Editing and debugging SAS Programs br Creating List Reports and Enhanced List and summary reports br Creating SAS data sets from raw data br Understanding DATA step processing br Creating and applying user defined formats br Producing descriptive Statistics br Creating and managing variables br Reading SAS Data sets br Combining SAS data sets br Transferring Data with SAS functions br Generating Data with DO loops and processing variables with Array br Reading Raw Data in fixed fields br Advanced BaseSAS: Macros and Proc Sql br br Clinical Programming br Explanation of organizational aspects of the Biometrics department br Basic concepts of Clinical trials br Phase – I, Phase – II, Phase – III, Phase – IV br Clinical trial glossary – Demystified br Explanation of the Clinical trial process br Protocol development br CRF Design and development, Data Management plan br Edit check specifications document, Edit check programming br Data querying, Paper CRF and E-CRF studies br Database programming and basic understanding of EDC studies br Annotated CRF’s br Data Querying br Lab data handling – procedures and pitfalls br Patient Profiles, Database Lock br CDISC SDTM 3.1.2 and ADAM 1.2 Implementation br How to generate Tables, Listing and Figures br br For full curriculum and details contact training@serigor.