The Simplest Guide to Clinical Trials Data Analysis with SAS
Course Overview:
This course offered by Course Plus will take you through the essentials of clinical trials data analysis using SAS software. It begins with an overview of the pharmaceutical industry and clinical trial phases, focusing on the types of data involved. Participants will dive into clinical study documents such as protocols, informed consent, statistical analysis plans (SAP), and case report forms (CRFs), providing a comprehensive understanding of clinical study documentation. The course then covers how to build clinical study reports (CSRs), emphasizing SAS programming steps, demographic data analysis, summary statistics, and the final report preparation. Real-world data processing examples and practical exercises ensure that students gain hands-on experience, enabling them to efficiently analyze clinical trial data in SAS.
Why Enroll in this Course?
Enrolling in “The Simplest Guide to Clinical Trials Data Analysis with SAS” will give you essential skills needed for analyzing clinical trial data using industry-standard SAS software. The course is designed to break down complex concepts into simple, understandable modules, ensuring both beginners and experienced professionals can easily follow along. Learn to interpret clinical study documents, derive key variables, and prepare concise clinical study reports (CSRs), which are crucial for regulatory submissions. With practical examples, you will gain hands-on experience with real-world clinical trial data and SAS programming techniques. Whether you are aiming for a career in the pharmaceutical industry or seeking to enhance your skillset, this course provides an excellent foundation. Join Course Plus today and gain the knowledge that will make you a valuable asset in clinical data analysis.
Investment Value:
- Gain expertise in analyzing clinical trial data, a highly sought-after skill in the pharmaceutical industry.
- Learn practical SAS programming techniques, boosting your career prospects in data analysis and clinical research.
- Build the ability to interpret complex clinical study documents like protocols, informed consent, and SAPs.
- Enhance your ability to create detailed, accurate Clinical Study Reports (CSRs) that are vital in the drug development process.
- The course equips both professionals and newcomers with the knowledge to excel in data analysis for clinical trials.
Technical Specifications:
- Course Format: Online e-learning with interactive lessons
- Software Required: SAS (Statistical Analysis System)
- Modules: 10+ instructional chapters
- Prerequisites: None required; designed for both beginners and experienced professionals
- Learning Mode: Self-paced
- Certification: Completion certificate provided (on demand)
Learning Outcome
- Understand the key components of the pharmaceutical industry and clinical trials.
- Gain proficiency in analyzing and processing clinical trial data using SAS.
- Learn to navigate and interpret clinical study documents (e.g., SAPs, CRFs, protocols).
- Acquire the skills to derive key variables such as AGE, SEX, and RACE for clinical trials.
- Be able to generate summary statistics for clinical trial variables, including COUNT and PERCENTAGE.
- Learn the correct use of PROC steps in SAS for clinical data analysis.
- Master the technique of transposing data and fixing precision issues.
- Understand how to compile and structure Clinical Study Reports (CSRs).
- Learn to apply SAS programming steps to real-world clinical data.
- Gain the ability to prepare and finalize clinical reports for submission.
Conclusion
Course Plus offers the ultimate guide to clinical trials data analysis using SAS, providing learners with the tools to excel in the pharmaceutical industry. Whether you’re starting or advancing your career in clinical data analysis, this course equips you with practical SAS skills to interpret data and build professional reports for clinical trials.
Next Steps:
- Register on Course Plus platform
- Access course materials
- Join community discussions
- Earn certification
Course Curriculum
Introduction
-
Course overview
02:00 -
Components of the pharma industry
05:00 -
Phases of Clinical Trials
06:00 -
Data and reports in Clinical Trials
04:00 -
Types of data
05:00 -
Section Conclusion
01:00
Get to know the Clinical Study Documents
Building the Clinical Study Reports (CSR)
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