The Simplest Guide to Clinical Trials Data Analysis with SAS

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Aslam Khan, PgMP, PMP, SAFe, SAS

1:59:09

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1 - Introduction

1 - Clinical Trial Fundamentals.html

1 - Course Overview.mp4

01:21

2 - Components of the Pharma Life Science Industry.mp4

04:39

3 - Phases of Clinical Trials.mp4

05:41

4 - Data and Reports in Clinical Trials.mp4

03:55

5 - Types of data in Clinical Trials.mp4

04:34

6 - Section Conclusion.mp4

00:40

2 - Get to know the Clinical Study Documents

2 - Clinical Study Documents.html

7 - Get to know the Clinical Study Documents Section Overview.mp4

00:39

8 - Study Documents The Clinical Study Protocol.mp4

02:10

9 - The Informed Consent.mp4

01:09

10 - The Inclusion Exclusion Criteria.mp4

00:35

11 - The Statistical Analysis Plan SAP mock shells and Case Report Forms CRFs.mp4

03:38

12 - Get to know Clinical Study Documents Section Conclusion.mp4

00:10

3 - Building the Clinical Study Reports CSR

3 - Building the Demographics table.html

4 - Procedures and Variables.html

5 - Structuring Data.html

6 - Final Report.html

13 - Building the CSRs Section Overview.mp4

01:04

14 - SAS OnDemand Registration.mp4

03:22

15 - Loggingin to SAS after registration.mp4

00:54

16 - General SAS Programming Steps for building any CSRs.mp4

02:14

17 - Understanding the Demographics Case Report Form CRF.mp4

04:18

18 - Understanding the Demographics Table.mp4

03:18

19 - Planning to program the Demographics Table.mp4

05:11

20 - Importing raw Demographics data into SAS.mp4

03:13

20 - demog.xls

21 - Deciding which PROCs to use.mp4

01:43

22 - Deriving the AGE variable.mp4

10:13

23 - Obtaining Summary Statistics for AGE.mp4

03:37

24 - Adding the 3rd Treatment Group using Explicit Output.mp4

05:21

25 - Deriving the SEX variable.mp4

03:21

26 - Obtaining Summary Statistics for SEX.mp4

03:08

27 - Concatenating the COUNT and PERCENT variables.mp4

02:51

28 - Deriving the RACE variable.mp4

02:47

29 - Obtaining Summary Statistics for RACE.mp4

02:55

30 - Stacking all 3 Summary Statistics together.mp4

05:42

31 - Fixing the precision points.mp4

03:54

32 - Transposing data.mp4

02:44

33 - Fixing the order of statistical parameters.mp4

05:05

34 - Building the final report.mp4

01:51

35 - Putting the final touches to the report.mp4

10:39

35 - t-demog.zip

35 - t-demog-results.zip

36 - Building the CSRs Section Conclusion.mp4

00:33

4 - Final Project

Description

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

Who is this 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

More details

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 SASÂ 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 SASÂ 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:Â You will need basic SASÂ programming knowledge to work with code discussed in this course. You can take my course on SASÂ programming ("The Simplest Guide to SASÂ Programming") available on Udemy.

A guide to the following SASÂ certification exam:
SAS Certified Clinical Trials Programmer Using SASÂ®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

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Hi there,My name is Aslam, and I love simplifying anything that appears to be a complex topic. I do this by using pictures (and lots of them!); pictures that are simple and illustrative to visualize the topic being explained.Pictures help to encapsulate a seemingly humdrum and hard to remember concept by tapping into the visual areas of your brain. The more neural hooks you can build by evoking the senses, the easier it will be for you to recall the concepts and what it means. This is my whole basis of teaching this way that is to not only make my courses unique, but more importantly to engage and captivate my students into the topic under discussion.We are visual creatures because most of our brain is wired for visual sensory processing. The quickest way to learn, remember and more importantly understand anything new is to not read it from a set of slides with a background narration from an instructor, but to visually see with your eyes what is being taught in the form of real-world objects, associate them to the topic being discussed, and then allow our brains to form those hard-to-forget indelible connections in our minds. That is why you will almost never find me using bullet points in my course lectures. By using the latest in touch-screen technology and a lot of on-screen sketches, I make the course lectures come to life ! I do this to have an impact on YOU, by LEADING your eyes to what you should focus on a slide, and letting your MIND follow-through, and to ultimately make you UNDERSTAND the topic. See it for yourself.I work with businesses in understanding their complex problems, surfacing their business needs and offering viable technical solutions, overseeing change management, program benefits realization and organizational project management. I have also worked in the Clinical Data Management, Biostatistics and SAS Programming areas of the Life Science industry. I am a certified Program Management Professional (PgMP), Project Management Professional (PMP) and a SAS Base and Advanced Certified Programmer, with a Master's Degree in Management Information Systems.

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