The Simplest Guide™ to Clinical Data Analysis with SAS: Analyze healthcare data using the powers of SAS

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. By 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/PacktPublishing/The-Simplest-Guide-to-Clinical-Data-Analysis-with-SAS-

Anyone who wants to take up a job as a clinical SAS programmer in a pharma company will find this course useful. Individuals who want to just play with data using the SAS programming concepts and want to take up a job as a clinical SAS programmer in a pharma company or a CRO will also benefit from this course. Please note that basic SAS programming is a requirement to complete this course. No prior pharmaceutical experience is necessary. Internet connectivity is necessary for working in the SAS Studio Edition using SAS OnDemand (no installation required).