Sanjay Matange - Clinical Graphs Using SAS
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The correct bibliographic citation for this manual is as follows: Matange, Sanjay. 2016. Clinical Graphs Using SAS. Cary, NC: SAS Institute Inc.
Clinical Graphs Using SAS
Copyright 2016, SAS Institute Inc., Cary, NC, USA
ISBN 978-1-62959-701-0 (Hard copy)
ISBN 978-1-62960-205-9 (EPUB)
ISBN 978-1-62960-206-6 (MOBI)
ISBN 978-1-62960-207-3 (PDF)
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U.S. Government License Rights; Restricted Rights: The Software and its documentation is commercial computer software developed at private expense and is provided with RESTRICTED RIGHTS to the United States Government. Use, duplication, or disclosure of the Software by the United States Government is subject to the license terms of this Agreement pursuant to, as applicable, FAR 12.212, DFAR 227.7202-1(a), DFAR 227.7202-3(a), and DFAR 227.7202-4, and, to the extent required under U.S. federal law, the minimum restricted rights as set out in FAR 52.227-19 (DEC 2007). If FAR 52.227-19 is applicable, this provision serves as notice under clause (c) thereof and no other notice is required to be affixed to the Software or documentation. The Governments rights in Software and documentation shall be only those set forth in this Agreement.
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March 2016
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SAS users in the Health and Life Sciences industry need to create complex graphs so that biostatisticians and clinicians can use them for analysis of the data. The graphs are also used for submissions to FDA for drug approvals. These graphs have specific requirements and must be designed to deliver the data accurately and clearly without distractions. Many users do not have the skills with SAS graphics tools such as Statistical Graphics (SG) procedures and the Graph Template Language (GTL) to create such graphs. This book provides the know-how and the code to create the graphs that are commonly used in this industry.
This book is for the SAS graphics programmer who is responsible for creating sophisticated graphs for the analysis of clinical trials data. Most of these graphs are not automatically created by some analytical procedure, and must be custom built. However, many of these graphs are commonly used in the Health and Life Sciences industry, and there is an effort in the industry to standardize. This book describes how to create such graphs for intermediate and advanced graph programmers.
Some knowledge of SAS DATA step programming may be required to get the data into the shape needed for the graphs. Knowledge of SG procedures and GTL will be helpful, but is not required.
This book includes detailed instructions about how to create some of the standard, commonly used graphs for analysis of data in the Health and Life Sciences industry. The book provides some introductory information on the use of SG procedures and GTL.
However, this book does not cover the features of SG procedures or of GTL in depth. Such comprehensive information is beyond the scope of this book.
All the graphs shown in this book are generated using SAS 9.4 or SAS 9.3.
To access the books example code and data, visit the authors page at http://support.sas.com/publishing/authors. Select the name of the author. Then, look for the book cover and select Example Code and Data.
If you are unable to access the code through the website, send email to .
If you are using SAS University Edition to access data and run your programs, ensure that the software contains the product or products that you need to run the code: http://support.sas.com/software/products/university-edition/index.html.
All the graphs included in the book are created using the program code shown in the chapters. Some appearance options in the code might have been trimmed to fit the space available on the page. The full programs including the data generation and procedure code are available.
Although this book illustrates many analyses regularly performed in businesses across industries, questions specific to your aims and issues may arise. To fully support you, SAS Institute and SAS Press offer you the following help resources:
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For questions about topics in or beyond the scope of this book, post queries to the relevant SAS Support Communities at https://communities.sas.com/welcome.
SAS Institute maintains a comprehensive website with up-to-date information. One page that is particularly useful to both the novice and the seasoned SAS user is the Knowledge Base. Search for relevant notes in the Samples and SAS Notes section of the Knowledge Base at http://support.sas.com/resources.
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