Booking options
£10.99
£10.99
On-Demand course
1 hour 54 minutes
All levels
Dive into the dynamic realm of clinical data analysis with our comprehensive Clinical Data Analysis with SAS course. This course is your passport to the pharmaceutical industry, guiding you through the essential components, phases of clinical trials, and types of data crucial in this field. You'll gain proficiency in interpreting clinical study documents, from protocols to ethical consent, enabling you to navigate the intricate world of clinical data. Our course equips you with SAS programming skills, empowering you to develop clinical study reports, analyze demographic data, and derive valuable insights. Whether you're a budding data analyst or a professional aiming to enhance your clinical data expertise, this course provides the knowledge and skills needed for a successful career in clinical data analysis.
Learning Outcomes
Understand the key components and phases of the pharmaceutical industry.
Navigate clinical trials with insights into data types and reports.
Interpret clinical study documents, including protocols and ethical consent.
Develop clinical study reports using SAS programming.
Analyze demographic data and derive valuable insights.
Unlimited access to the course for a lifetime.
Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course.
Structured lesson planning in line with industry standards.
Immerse yourself in innovative and captivating course materials and activities.
Assessments designed to evaluate advanced cognitive abilities and skill proficiency.
Flexibility to complete the Course at your own pace, on your own schedule.
Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience.
Unlock career resources for CV improvement, interview readiness, and job success.
Aspiring clinical data analysts seeking to enter the pharmaceutical industry.
Professionals in healthcare, research, or data analysis looking to enhance their clinical data expertise.
Students and individuals interested in clinical data and its analysis.
Those who want to decode clinical study documents and reports.
Anyone aiming to unlock the world of clinical data analysis with SAS.
Clinical Data Analyst: £25,000 - £50,000
Biostatistician: £30,000 - £70,000
Pharmaceutical Researcher: £25,000 - £60,000
Data Scientist in Healthcare: £30,000 - £70,000
Clinical SAS Programmer: £28,000 - £60,000
Clinical Research Manager: £35,000 - £80,000
This Clinical Data Analysis with SAS does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Clinical Data Analysis with SAS was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.
After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8.
Course Promo | |||
Course Promo | 00:01:00 | ||
Section 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 | ||
Section 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 | ||
Section 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 Analysis with SAS | 00:00:00 | ||
Assignment | |||
Assignment - Clinical Data Analysis with SAS | 00:00:00 |
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