The Simplest Guide™ to Clinical Data Analysis with SAS

This course gives an introduction to the pharmaceutical/life sciences 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.

Key Features

Dive head-first into the life sciences/pharmaceutical industry
Master concepts of clinical drug development/clinical trials processes
Learn how SAS programming is an integral part of putting a drug into the market

What You Will Learn

Understand various phases of clinical trials in the context of SAS programming
Understand the usage of various clinical study documents such as Protocol, Statistical Analysis Plan, and so on
Collect, store, analyze, and report data using SAS
Generate clinical study reports from the derived data you will create

About

The course takes you through an example clinical study sample data and generates 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 the programming. At the end of this course, you will have learned 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.

The code files and all related files are added on GitHub at https://github.com/PacktPublis...inical-Data-Analysis-with-SAS-