CPD Accredited Course
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0 Students
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1 Year
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Intermediate
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1 hour, 53 minutes
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Overview
Clinical Data Management (CDM) plays a vital role in ensuring the accuracy and reliability of clinical trial data. This course provides a comprehensive understanding of CDM principles, regulatory frameworks, and industry best practices. It covers the essential aspects of data collection, validation, cleaning, and reporting, ensuring data integrity in clinical research.
SAS programming is widely used in clinical data analysis, and this course focuses on its application in data manipulation, transformation, and reporting within the clinical research domain. Learners will gain knowledge of clinical trial processes, database structures, and how SAS is utilized for statistical analysis and submission-ready datasets in accordance with industry standards.
This Clinical Data Management with SAS Programming Course Package Includes
- Comprehensive lessons and training provided by experts on Clinical Data Management with SAS Programming
- Interactive online learning experience provided by qualified professionals in your convenience
- 24/7 Access to the course materials and learner assistance
- Easy accessibility from any smart device (Laptop, Tablet, Smartphone etc.)
- A happy and handy learning experience for the professionals and students
- 100% learning satisfaction, guaranteed by Compliance Central
Learning Outcomes
By the end of this course, learners will be able to:
- Understand the fundamentals of Clinical Data Management in clinical trials.
- Learn about regulatory guidelines and industry standards in CDM.
- Gain proficiency in SAS programming for clinical data analysis.
- Perform data validation, transformation, and reporting using SAS.
- Understand database structures and electronic data capture (EDC) systems.
- Develop clinical trial datasets for regulatory submissions.
- Work with CDISC standards, including SDTM and ADaM.
- Interpret clinical trial data for statistical analysis and reporting.
Course Description of Clinical Data Management with SAS Programming
This course provides a structured approach to Clinical Data Management with a strong emphasis on SAS programming for clinical research. Learners will explore key concepts such as data collection methods, validation techniques, and database management while understanding the role of CDM in clinical trials. The course includes an in-depth study of SAS functions, data steps, and statistical procedures used in clinical data analysis.
Participants will develop an understanding of industry guidelines, including CDISC standards, and the steps involved in preparing submission-ready datasets. This course is designed to equip learners with the essential skills required for a career in clinical data management, supporting the pharmaceutical, biotechnology, and contract research sectors.
Who is this Course For
- Aspiring clinical data managers
- SAS programmers seeking to specialize in clinical research
- Professionals in the pharmaceutical and biotechnology industries
- Clinical research associates and coordinators
- Biostatisticians looking to enhance their SAS skills
- Healthcare professionals transitioning into clinical data management
- Graduates in life sciences, pharmacy, or medical fields
- Data analysts interested in clinical research applications
- IT professionals exploring opportunities in clinical trial data management
- Regulatory professionals involved in clinical data submissions
Certification
You can instantly download your certificate for free right after finishing the Clinical Data Management with SAS Programming course. The hard copy of the certification will also be sent right at your doorstep via post for £9.99. All of our courses are continually reviewed to ensure their quality, and that provide appropriate current training for your chosen subject. As such, although certificates do not expire, it is recommended that they are reviewed or renewed on an annual basis.Career Path of Clinical Data Management with SAS Programming
Upon completion, learners can pursue roles such as Clinical Data Manager, SAS Programmer, Clinical Data Analyst, Biostatistician, or CDISC Specialist. Career opportunities exist within pharmaceutical companies, contract research organizations (CROs), healthcare institutions, and regulatory agencies, contributing to clinical trials and drug development processes.
Course Currilcum
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- 1.1 Components of the Pharma Industry 00:05:00
- 1.2 Phases of Clinical Trials 00:06:00
- 1.3 Data and Reports in Clinical Trials 00:04:00
- 1.4 Types of Data 00:05:00
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- 2.1 Clinical Study Protocol 00:02:00
- 2.2 Ethical Consent 00:01:00
- 2.3 Inclusion-Exclusion Criteria 00:01:00
- 2.4 Statistical Analysis Plan: SAP, Mockshell and CRF 00:04:00
- 3.1 General SAS Programming Steps 00:02:00
- 3.2 One Search Report: Demographics Table 00:04:00
- 3.3 Understanding the Demographics Table 00:03:00
- 3.4 Programming the Demographics Table 00:05:00
- 3.5 Importing Raw Demographic Data into the SAS 00:04:00
- 3.6 Deciding what Procedure to Use 00:02:00
- 3.7 Deriving the AGE variable 00:10:00
- 3.8 Obtaining Summary Statistics for AGE 00:04:00
- 3.9 Adding the 3rd Treatment Group using Explicit Output 00:05:00
- 3.10 Deriving the SEX variable 00:03:00
- 3.11 Obtaining Summary Statistics for SEX 00:03:00
- 3.12 Concatenating the COUNT and PERCENT Variables 00:03:00
- 3.13 Deriving the RACE Variable 00:03:00
- 3.14 Obtaining Summary Statistics for RACE 00:03:00
- 3.15 Stacking All the 3 Summary Statistics Together 00:06:00
- 3.16 Fixing the Precision Points 00:04:00
- 3.17 Transposing Data 00:03:00
- 3.18 Fixing the Order of Statistical Parameters 00:05:00
- 3.19 Building the Final Report 00:02:00
- 3.20 Putting the Final Touches to the Report 00:11:00
Student Reviews
Ben lim
Gaining improve knowledge in the construction project management and the course is easy to understand.
Mr Brian Joseph Keenan
Very good and informative and quick with marking my assignments and issuing my certificate.
Sarah D
Being a support worker I needed add a child care cert in my portfolio. I have done the course and that was really a good course.
Sam Ryder
The first aid course was very informative with well organised curriculum. I already have some bit and pieces knowledge of first aid, this course helped me a lot.
Ben lim
Gaining improve knowledge in the construction project management and the course is easy to understand.
Thelma Gittens
Highly recommended. The module is easy to understand and definitely the best value for money. Many thanks
BF Carey
First course with Compliance Central. It was a good experience.
Course Currilcum
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- 1.1 Components of the Pharma Industry 00:05:00
- 1.2 Phases of Clinical Trials 00:06:00
- 1.3 Data and Reports in Clinical Trials 00:04:00
- 1.4 Types of Data 00:05:00
-
- 2.1 Clinical Study Protocol 00:02:00
- 2.2 Ethical Consent 00:01:00
- 2.3 Inclusion-Exclusion Criteria 00:01:00
- 2.4 Statistical Analysis Plan: SAP, Mockshell and CRF 00:04:00
- 3.1 General SAS Programming Steps 00:02:00
- 3.2 One Search Report: Demographics Table 00:04:00
- 3.3 Understanding the Demographics Table 00:03:00
- 3.4 Programming the Demographics Table 00:05:00
- 3.5 Importing Raw Demographic Data into the SAS 00:04:00
- 3.6 Deciding what Procedure to Use 00:02:00
- 3.7 Deriving the AGE variable 00:10:00
- 3.8 Obtaining Summary Statistics for AGE 00:04:00
- 3.9 Adding the 3rd Treatment Group using Explicit Output 00:05:00
- 3.10 Deriving the SEX variable 00:03:00
- 3.11 Obtaining Summary Statistics for SEX 00:03:00
- 3.12 Concatenating the COUNT and PERCENT Variables 00:03:00
- 3.13 Deriving the RACE Variable 00:03:00
- 3.14 Obtaining Summary Statistics for RACE 00:03:00
- 3.15 Stacking All the 3 Summary Statistics Together 00:06:00
- 3.16 Fixing the Precision Points 00:04:00
- 3.17 Transposing Data 00:03:00
- 3.18 Fixing the Order of Statistical Parameters 00:05:00
- 3.19 Building the Final Report 00:02:00
- 3.20 Putting the Final Touches to the Report 00:11:00
