Course Prerequisites
- Please note that this course has the following prerequisites which must be completed before it can be accessed
About This Course
Clinical SAS Programming – First course in the Clinical Scientist Program
Duration: 140+ Hours
Mode: Online
Eligibility:
- Only Students from Karnataka Universities & Colleges
- Final Year Students, Interns & 2022 Graduates (Registration Closes in Feb)
Clinical SAS Programming:
SAS is one of the worlds costliest analytics tool that is used to analyze huge data. India is a Clinical Trial hub and the huge clinical trial data is analyzed used SAS and also used to report to regulatory bodies like US FDA.
This is one of the highly paid jobs worldwide and even in India the average salary is 300,000 per year. This is a must course if you are planning for an overseas career.
Learning Objectives
Globally Certified Clinical Trial SAS Programmers as Trainers
Extensive Training
Target Audience
- Only for Karnataka University & College Students
- Final Year Students & Interns
- 2022 Recent Graduates (Only allowed till 28th Feb 2023)
Curriculum
95 Lessons140h
Essentials to Start the Training
Guidance on how to use SAS on Demand
Essentials to use SAS Software
Module 1: Base SAS programming
Chapter 1: Base SAS Fundamentals (1 Hr)
Chapter 2: Accessing Data (2 Hrs)
Chapter 3: Exploring Data (3 Hrs)
Chapter 4: Preparing Data (4 Hrs)
Chapter 5: Analysing and Reporting on Data (2 Hrs)
Chapter 6 Exporting Results (2 Hrs)
Module 2: Advance SAS Programming
Chapter 1: Controlling data step processing (2 Hrs)
Chapter 2: Summarizing data (2 Hrs)
Chapter 3: Data manipulation with functions (4 Hrs)
Chapter 4 creating custom Formats (3 Hrs)
Chapter 5 combining tables (3 Hrs)
Chapter 6: Processing repetitive code (2 Hrs)
Chapter 7: Restructuring tables (2 Hrs)
Module 3: SAS SQL Programming
Chapter 1: Introduction to the SQL Procedure (1 Hrs)
Chapter 2: PROC SQL Fundamentals (3 Hrs)
Chapter 3: SQL joins (3 Hrs)
Chapter 4: Writing Subqueries (3 Hrs)
Chapter 5: Set Operators in Proc SQL (3 Hrs)
Chapter 6: Using and Creating Macro Variables in SQL (3 Hrs)
Module 4: SAS Macros Language
Chapter 1: Introduction to SAS Macros (2 Hrs)
Chapter 2: Creating and Using Macro Variables (1 Hrs)
Chapter 3: Macro Functions (2 Hrs)
Chapter 4: Using SQL to Create Macro Variables (1 Hrs)
Chapter 5: Using the DATA Step to Create Macro Variables (2 Hrs)
Chapter 6: Indirect References to Macro Variables (1 Hrs)
Chapter 6: Defining and Calling a Macro (1 Hrs)
Chapter 7: Conditional Processing (2 Hrs)
Chapter 8: Iterative Processing (2 Hrs)
Chapter 9: Storing Marcos (1 Hrs)
Chapter 10: Generating Data-Dependent Code (2 Hrs)
Chapter 11: Validating Parameters and Documenting Macros (2 Hrs)
Module 5: Clinical Domain
Chapter 1: Phases of Clinical trials (1 Hrs)
Chapter 2: Clinical Trial Study Designs (1 Hrs)
Chapter 3: CRF, eCRF and aCRF (2 Hrs)
Chapter 4: Clinical research Protocol and its documents for Clinical data analysis (1 Hrs)
Chapter 5: Drug Regulatory organizations and ICH guidelines (30 min)
Chapter 6: International data Standards organizations (30 min)
Chapter 7: Statistical Analysis Plan (30 min)
Chapter 8: Mock Shells (30 min)
Chapter 9: Clinical data cleaning & transformation methods (1 Hrs)
Module 6: CDISC Models Theory
Chapter 1: SDTM structure, guidelines and Domains (4 Hrs)
Chapter 2: ADaM structure, guidelines and Domains (4 Hrs)
Module 7: CDISC SDTM variables mapping Using SAS
Chapter 1: DM domain Mapping – Demo, Activity (2 Hrs)
Chapter 2: CM domain Mapping – Demo, Activity (2 Hrs)
Chapter 3: AE Domain Mapping – Demo, Activity (2 Hrs)
Chapter 4: MH Domain Mapping – Demo, Activity (2 Hrs)
Chapter 5: LB Domain Mapping – Demo, Activity (2 Hrs)
Chapter 6: VS Domain mapping – Demo, Activity (2 Hrs)
Chapter 7: EG Domain Mapping – Demo, Activity (2 Hrs)
Chapter 8: DS Domain mapping – Demo, Activity (2 Hrs)
Module 8: CDISC ADaM variables conversion using SAS
Converting SDTM tables to ADaM datasets for analysis and report writing
Module 9: Report Writing
Chapter 1: Proc PRINT - Syntax, Options, Notes, Demo, Activity (2 Hrs)
Chapter 2: Proc TABULATE - Syntax, Options, Notes, Demo, Activity (4 Hrs)
Chapter 3: Proc REPORT - Syntax, Options, Notes, Demo, Activity (4 Hrs)
Chapter 4: Using ODS destinations - Syntax, Options, Notes, Demo, Activity (4 Hrs)
Chapter 5: SG procedure for generating Graphs – Syntax, Notes, Demo, Activity (4 Hrs)
Module 10: Tables, Listings, Figures/Graphs as per MOCK Shells (12 Hrs)
Chapter 1: Generating Clinical data Tables (4 Hrs)
Chapter 2: Generating Clinical data Listings (4 Hrs)
Chapter 3: Generating Clinical data Graphs (4 Hrs)
Module 11: Validation of Clinical Trial Data
Chapter 1: Types of clinical trial data validations (1 Hrs)
Chapter 2: Validation using Proc COMPARE (30 Min)
Chapter 3: Validation using PROC CDISC (30 Min)
Module 12: Clinical Trial data FDA Submission Package
Chapter 1: Exporting data to. XPT format (30 Min)
Chapter 2: Define.xml (1 hr 30 Min)
₹150,000.00
Material Includes
- All course materials are provided.
