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£25
£25
On-Demand course
1 hour 53 minutes
All levels
Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this step-by-step Clinical Data Management - Using SAS Programming training course. This Clinical Data Management - Using SAS Programming course for Consistent Profits has been specially designed to help learners gain a good command of Clinical Data Management - Using SAS Programming, providing them with a solid foundation of knowledge to understand relevant professionals' job roles.
Through this Clinical Data Management - Using SAS Programming course, you will gain a theoretical understanding of Clinical Data Management - Using SAS Programming and others relevant subjects that will increase your employability in this field, help you stand out from the competition, and boost your earning potential in no time.
Not only that, but this Clinical Data Management - Using SAS Programming training includes up-to-date knowledge and techniques that will ensure you have the most in-demand skills to rise to the top of the industry.
This course is fully CPD-accredited and broken down into several manageable modules, making it ideal for aspiring professionals.
Course Promo | |||
▶ | Course Promo | 🕐 00:01:00 | |
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 | 🕐 00:02:00 | |
▶ | 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 Analysis with SAS | 🕐 00:00:00 |
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