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Clinical Data Management with SAS Programming is a specialized course focused on clinical data, management, and analysis within the healthcare industry. Learners gain expertise in SAS programming, statistics, and data handling for clinical trials. The course builds strong foundations in data interpretation, reporting, and regulatory-ready healthcare documentation processes and real-world applications.
The curriculum covers clinical data management concepts, pharmaceutical industry components, phases of clinical trials, and essential study documents like protocols, ethical consent, inclusion-exclusion criteria, and SAP. It also teaches SAS programming techniques for building demographics tables, importing data, deriving variables, and performing statistical analysis for healthcare reporting and trial outcomes.
This course enables professionals to master SAS programming for clinical data analysis, supporting accurate statistics, reporting, and healthcare decision-making. Students develop skills in managing trial datasets, performing advanced data manipulation, and generating regulatory-compliant reports. It prepares learners for careers in clinical research, data management, and pharmaceutical trial analysis roles globally across healthcare industries.
Learners complete an assignment designed to evaluate their understanding of the course content. The assignment is reviewed by qualified tutors who provide personalised feedback, allowing learners to demonstrate their applied knowledge and skills.
After completing the Clinical Data Management with SAS Programming course assessment, you will be eligible to receive a CPD-accredited certificate worth £9 from One Education to demonstrate your achievement.
The certificate is also available as a printed hard copy delivered by post for £15.
Studying Clinical Data Management with SAS Programming helps learners understand how clinical trial data is collected, organised, and analysed to support accurate medical research. It introduces essential principles of data integrity, validation, and regulatory compliance in healthcare studies.
This course develops practical skills in SAS programming for data manipulation, reporting, and statistical analysis. It is highly relevant for careers in clinical research, pharmaceuticals, and healthcare analytics, where precise data management is critical for decision-making and patient safety.
The Clinical Data Management with SAS Programming course has a total study time of 1 hour, 53 minutes. Learners can complete the programme at a flexible pace, allowing them to develop foundational knowledge of clinical data management and SAS programming while balancing study with other personal or professional commitments.
The Clinical Data Management with SAS Programming course requirements are suitable for learners interested in healthcare analytics and clinical research. No advanced programming experience is required, although a basic understanding of data handling, statistics, or healthcare systems is beneficial. The course is fully online, requiring only internet access and a digital device for flexible self-paced study.
It is a course that teaches how to manage and analyse clinical trial data using SAS software.
It is suitable for healthcare professionals, data analysts, and anyone interested in clinical research and data science.
You will learn data collection, data validation, clinical trial standards, and SAS programming basics for analysis.
It ensures accurate, reliable, and high-quality data for safe and effective medical research.
SAS is used for statistical analysis, data management, and reporting in clinical research and healthcare studies.
It can lead to roles such as clinical data manager, SAS programmer, or clinical research analyst.
| Unit 01: Introduction | |||
| 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 | ||
| Unit 02: Knowledge on Clinical Study Documents | |||
| 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 | ||
| Unit 03: Developing the Clinical Study Reports | |||
| 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 | ||
| Resources | |||
| Resources – Clinical Data Management with SAS Programming | 00:00:00 | ||
| Assignment | |||
| Assignment -Clinical Data Management with SAS Programming | 00:00:00 | ||
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