What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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Instructor: Packt - Course Instructors
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Beginner level
This is for pharma data analysts, & statisticians to master clinical data analysis with SAS. Basic SAS and clinical trial knowledge is recommended.
Recommended experience
Beginner level
This is for pharma data analysts, & statisticians to master clinical data analysis with SAS. Basic SAS and clinical trial knowledge is recommended.
Describe the fundamental concepts of clinical drug development and trials.
Identify and explain the various phases of clinical trials in the context of SAS programming.
Recognize and utilize various clinical study documents.
Collect, organize, and analyze data using SAS.
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October 2024
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In the realm of pharma and life sciences, clinical data analysis is a critical skill that demands precision and expertise. This course breaks down the intricate processes involved in analyzing clinical trial data using SAS, making it accessible to professionals at all levels. You'll begin with an introduction to the industry, understanding the components and phases of clinical trials, and the various types of data and reports involved.
The course then guides you through the essential clinical study documents, including the study protocol, informed consent, inclusion-exclusion criteria, and the Statistical Analysis Plan (SAP). By mastering these documents, you'll lay a solid foundation for building comprehensive Clinical Study Reports (CSRs). The hands-on approach of the course ensures that you not only learn the theoretical aspects but also how to apply them practically. As you progress, you'll dive into the detailed steps of programming CSRs using SAS. From understanding case report forms and importing raw data to deriving critical variables like AGE, SEX, and RACE, and finally compiling all the summary statistics, the course walks you through each step with clarity. By the end, you'll have the confidence to produce polished, professional-grade reports, essential for advancing your career in clinical data analysis. This course is designed for data analysts, statisticians, and professionals in the pharma and life sciences industries who want to deepen their understanding of clinical data analysis using SAS. A basic understanding of clinical trials and prior experience with SAS programming is recommended but not required.
In this module, we will introduce the foundational aspects of the pharma/life sciences industry, focusing on the clinical trial process. We’ll explore industry components, phases of clinical trials, and the various data types and reports integral to clinical research.
6 videos1 reading
In this module, we will delve into the essential documents involved in clinical studies. We’ll examine the clinical study protocol, informed consent, inclusion-exclusion criteria, and key analytical documents like the SAP, mock shells, and CRFs.
6 videos
In this module, we will guide you through the creation of Clinical Study Reports using SAS. We’ll cover the basics of SAS registration, explore programming steps for CSRs, and focus on building demographic tables and deriving key variables such as AGE, SEX, and RACE.
24 videos1 assignment
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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S.P. Jain Institute of Management and Research
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Ball State University
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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