SAS Graphics for Clinical Trials by Example

Additional Book Details

Create industry-compliant graphs with this practical guide for professionals

Analysis of clinical trial results is easier when the data is presented in a visual form. However, clinical graphs must conform to specific guidelines in order to satisfy regulatory agency requirements. If you are a programmer working in the health care and life sciences industry and you want to create straightforward, visually appealing graphs using SAS, then this book is designed specifically for you. Written by two experienced practitioners, the book explains why certain graphs are requested, gives the necessary code to create the graphs, and shows you how to create graphs from ADaM data sets modeled on real-world CDISC pilot study data.

SAS Graphics for Clinical Trials by Example demonstrates step-by-step how to create both simple and complex graphs using Graph Template Language (GTL) and statistical graphics procedures, including the SGPLOT and SGPANEL procedures. You will learn how to generate commonly used plots such as Kaplan-Meier plots and multi-cell survival plots as well as special purpose graphs such as Venn diagrams and interactive graphs. Because your graph is only as good as the aesthetic appearance of the output, you will learn how to create a custom style, change attributes, and set output options. Whether you are just learning how to produce graphs or have been working with graphs for a while, this book is a must-have resource to solve even the most challenging clinical graph problems.

Additional resources for this book can be found by accessing the link below.

Book Reviews

"In addition to the examples, the sample code and the illustrations to the options are very useful so that users can choose the template options that fit the data visualization purpose best. I would recommend this book to all programmers working on clinical trials." Eason Yang (Yi Yang)

The authors do a fantastic job of meeting clinical programmers where they are and offering the tools they need to solve their particular problem. Whether you have a specific project in mind, or just want to learn more about how to improve your clinical graphs in SAS, this book is a must-have!" Deanna (DeDe) Naomi Schreiber-Gregory, Co-owner, Operations and Finance, Independent Consultant - Statistics and Data Management, Juxdapoze, LLC