Clinical Data Analysis with SAS

Description

This comprehensive course on Clinical Data Analysis with SAS will deepen your understanding on this topic.

After successful completion of this course you can acquire the required skills in this sector. This Clinical Data Analysis with SAS comes with accredited certification, which will enhance your CV and make you worthy in the job market.

So enrol in this course today to fast track your career ladder.

You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.

There is no experience or previous qualifications required for enrolment on this Clinical Data Analysis with SAS. It is available to all students, of all academic backgrounds.

Our Clinical Data Analysis with SAS is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.

There is no time limit for completing this course, it can be studied in your own time at your own pace.

Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc.

5 sections • 30 lectures • 01:54:00 total length

•Course Promo: 00:01:00

•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

•Resources - Clinical Data Analysis with SAS: 00:00:00