 Course Highlights
 Course Highlights
				Data management plays a vital role in ensuring the accuracy and reliability of clinical trial data. Clinical trial companies globally use SAS for clinical analysis and submission. So, master the powerful SAS programming principles with this clinical data management course. This Clinical Data Manager course will enhance your understanding of SAS programming. It will help you prepare for clinical data management jobs using SAS.
The course will educate you about the reliable components of the pharmaceutical industry. It will then take you through the clinical trial life cycle and the types of data collected in clinical trials. Again, it will introduce you to the study documents needed for clinical trials. For instance, you’ll learn about clinical study protocols and ethical consent. The course will also cover the inclusion-exclusion criteria and statistical analysis plans.
The clinical data management training also covers the essentials of an excellent clinical study report. First, it will introduce you to the general SAS programming steps. Next, you’ll learn how to program demographics tables and import raw demographic data into the SAS. You’ll understand how to derive age, sex and race variables and get summary statistics for each variable. Again, you’ll learn how to stack all the statistics together. The course will also explain how to fix precision points. You’ll learn how to transpose data and correct the order of statistical parameters. Then, you’ll understand how to create the final report and add the finishing touches.
So, enrol now to perform excellent clinical data management services.
 Learning outcome
 Learning outcome
				- Understand the fundamentals and frameworks of Clinical Data.
- Develop proficiency in SAS programming for data analysis.
- Master the techniques for data validation and quality control.
- Learn data setup, maintenance, and compliance protocols.
- Acquire skills in managing clinical trials data effectively.
 Course media
 Course media
				 Why should I take this course?
 Why should I take this course?
				- Essential for mastering Clinical Data Management using industry-standard SAS tools.
- Improves your data handling skills specific to clinical trials.
- Bridges the gap between theoretical knowledge and practical application.
- Enhances career prospects in the booming healthcare data sector.
- Provides certification that is recognized in the healthcare industry.
 Career Path
 Career Path
				- Clinical Data Manager
- SAS Programmer
- Clinical Data Coordinator
- Clinical Data Analyst
- Data Quality Manager
 Requirements
 Requirements
				- Basic understanding of data analysis.
- Familiarity with clinical trial processes.
- Eagerness to develop technical skills in SAS programming.
Curriculum
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                                                            Course Promo 00:01:00 
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                                                            1.1 Components of the Pharma Industry 00:05:00 
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                                                            1.2 Phases of Clinical Trials 00:06:00 
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                                                            1.3 Data and Reports in Clinical Trials 00:04:00 
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                                                            1.4 Types of Data 00:05:00 
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                                                            2.1 Clinical Study Protocol 00:02:00 
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                                                            2.2 Ethical Consent 00:01:00 
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                                                            2.3 Inclusion-Exclusion Criteria 00:01:00 
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                                                            2.4 Statistical Analysis Plan: SAP, Mockshell and CRF 00:04:00 
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                                                            3.1 General SAS Programming Steps 00:02:00 
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                                                            3.2 One Search Report: Demographics Table 00:04:00 
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                                                            3.3 Understanding the Demographics Table 00:03:00 
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                                                            3.4 Programming the Demographics Table 00:05:00 
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                                                            3.5 Importing Raw Demographic Data into the SAS 00:04:00 
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                                                            3.6 Deciding what Procedure to Use 00:02:00 
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                                                            3.7 Deriving the AGE variable 00:10:00 
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                                                            3.8 Obtaining Summary Statistics for AGE 00:04:00 
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                                                            3.9 Adding the 3rd Treatment Group using Explicit Output 00:05:00 
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                                                            3.10 Deriving the SEX variable 00:02:00 
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                                                            3.11 Obtaining Summary Statistics for SEX 00:03:00 
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                                                            3.12 Concatenating the COUNT and PERCENT Variables 00:03:00 
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                                                            3.13 Deriving the RACE Variable 00:03:00 
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                                                            3.14 Obtaining Summary Statistics for RACE 00:03:00 
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                                                            3.15 Stacking All the 3 Summary Statistics Together 00:06:00 
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                                                            3.16 Fixing the Precision Points 00:04:00 
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                                                            3.17 Transposing Data 00:03:00 
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                                                            3.18 Fixing the Order of Statistical Parameters 00:05:00 
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                                                            3.19 Building the Final Report 00:02:00 
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                                                            3.20 Putting the Final Touches to the Report 00:11:00 
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                                                            Resources – Clinical Data Analysis with SAS 
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                                                            Get Your CPD Certificate 00:01:00 
Offer Ends in
 
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                                Duration:1 hour, 54 minutes
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                                Access:1 Year
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                                    Units:31
 
                        
                         
                    
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                            Courses for £49
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