image
The Ultimate Drawing Course Beginner to Advanced...
$179
$79
image
User Experience Design Essentials - Adobe XD UI UX...
$179
$79
Total:
$659

Description

This course gives an introduction to the Pharmaceutical/ Life Science industry in a simple and visual style that is easy to understand. It shows how SAS is used as a tool to work with the vast amount of clinical data within this industry.
The course takes you through an example clinical study sample data, and generate various Clinical Study Reports that are submitted to the FDA
(in the US) or other regulatory authorities in other countries. You will not only hone your SAS programming skills but will also learn essential concepts needed to work in the Pharma industry in the areas of Biostatistics and Clinical Data Management.
After the introduction to the pharma industry and learning relevant concepts about Clinical Trials, the course takes you through a hands-on training exercise to build the very
important and fundamental Clinical Study Report called the Demographics Table
.
You will begin with a sample clinical study data in an Excel sheet, then you will import it into SAS, derive all necessary variables as shown in the mock table, and finally generate a clinical study report. All this will be done using guided SAS Programming steps with detailed explanations at every step of programming. At the end of this course, you will have learnt to work with Clinical Study Data, generate a real Clinical Study Report, and extend those steps to build other reports that constitute Clinical Trial submissions to the regulatory bodies.
Prerequisites:
 You will need basic SAS programming knowledge to work with code discussed in this course. You can take my course on SAS programming (
"The Simplest Guide to SAS Programming")
available on Udemy.
A guide to the following SAS certification exam:
SAS Certified Clinical Trials Programmer Using SAS 9
Earn a Certificate
When you finish listening to all videos, assignments, quizzes and practice exams, you'll earn a Certificate that you can share with prospective employers and your professional network.
Who this course is for:
Anyone wanting to get into the Life Science / Pharmaceutical industry and looking to work in this field
Want to take up a job as a Clinical SAS Programmer in a Pharma company or a CRO (Contract Research Org.)
Want to just play with data using the SAS Programming concepts

What you'll learn

Get introduced to the Life Science/ Pharmaceutical industry in simple, visual pictures

Learn the fundamental concepts of Clinical Drug Development / Clinical Trials processes

Understand the various Phases of Clinical Trials in the context of SAS programming

Get introduced to the various clinical study documents like Protocol, Statistical Analysis Plan etc.

Understand raw data and how it is collected, stored, analysed and reported

Work hands-on with sample study data that you will import, prepare, restructure and visualize

Generate an actual Clinical Study Reports from the derived data you will create

See for yourself how SAS programming is an integral part of putting a drug into the market

A guide to the SAS Certified Clinical Trials Programmer Using SAS®9 Certification Exam

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
8
1.1-Course Overview
1.2-Download the eBook and Course Slides
1.3-Components of the Pharma/ Life Science Industry
1.4-Phases of Clinical Trials
1.5-Data and Reports in Clinical Trials
1.6-Types of data in Clinical Trials
1.7-Section Conclusion
1.8-Clinical Trial Fundamentals
2-Get to know the Clinical Study Documents
7
2.1-Get to know the Clinical Study Documents - Section Overview
2.2-Study Documents - The Clinical Study Protocol
2.3-The Informed Consent
2.4-The Inclusion- Exclusion Criteria
2.5-The Statistical Analysis Plan (SAP), mock shells, and Case Report Forms (CRFs)
2.6-Get to know Clinical Study Documents - Section Conclusion
2.7-Clinical Study Documents
3-Building the Clinical Study Reports (CSR)
32
3.1-Building the CSRs - Section Overview
3.2-SAS OnDemand Registration
3.3-Logging-in to SAS after registration
3.4-General SAS Programming Steps for building any CSRs
3.5-Understanding the Demographics Case Report Form (CRF)
3.6-Understanding the Demographics Table
3.7-Planning to program the Demographics Table
3.8-Importing raw Demographics data into SAS
3.9-Importing raw data into SAS
3.10-Building the Demographics table
3.11-Deciding which PROCs to use
3.12-Deriving the AGE variable
3.13-Deriving the AGE variable
3.14-Obtaining Summary Statistics for AGE
3.15-Adding the 3rd Treatment Group using Explicit Output
3.16-Procedures and Variables
3.17-Deriving the SEX variable
3.18-Obtaining Summary Statistics for SEX
3.19-Summarizing Data
3.20-Concatenating the COUNT and PERCENT variables
3.21-Deriving the RACE variable
3.22-Obtaining Summary Statistics for RACE
3.23-Stacking all 3 Summary Statistics together
3.24-Fixing the precision points
3.25-Transposing data
3.26-Structuring Data
3.27-Fixing the order of statistical parameters
3.28-Building the final report
3.29-Putting the final touches to the report
3.30-Final Report
3.31-Building the CSRs - Section Conclusion
3.32-Final Test
4-Capstone Project
1
4.1-Create a Demographics Clinical Study Report