Design, construct, and display customized graphs quickly and efficiently with this new example-based book. It helps you master these customizing techniques without relying on the Annotate facility. You'll also discover practical tips here on topics not thoroughly covered in other books.

This is the ultimate "quick-fix" guide for SAS/GRAPH software users. Have a problem or particular task in mind? Short stand-alone chapters, filled with examples, will guide you through specific functions step-by-step. Organized so you can skip directly to the solutions you need, this book is like a series of flash cards. It is minimal in text, with numerous fully annotated examples. Users of all levels, including those who use SAS/GRAPH infrequently, will find this an inviting and eminently practical aproach to handling their real-world graphics projects. Even if you have no immediate task or problem, you will enjoy browsing through the various topics covered. Book jacket.

This indispensable guide focuses on validating programs written to support the clinical trial process from after the data collection stage to generating reports and submitting data and output to the Food and Drug Administration.

SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS® provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language. This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS® 9.3 and SAS® 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS® 9.4, these graphs become positively easy to create. Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots.

Text addresses such tasks as: viewing analytic data preparation in the context of its business environment, identifying the specifics of predictive modeling for data mart creation, understanding the concepts and considerations of data preparation for time series analysis, and using SAS procedures for scoring.

Lafler's book provides SAS users (Version 8.2) with a wonderful collection of tips, undocumented or hard-to-find tidbits of information, and other useful techniques in more than 1,000 entries.

Carpenter's Guide to Innovative SAS Techniques offers advanced SAS programmers an all-in-one programming reference that includes advanced topics not easily found outside the depths of SAS documentation or more advanced training classes. Art Carpenter has written fifteen chapters of advanced tips and techniques, including topics on data summary, data analysis, and data reporting. Special emphasis is placed on DATA step techniques that solve complex data problems. There are numerous examples that illustrate advanced techniques that take advantage of formats, interface with the macro language, and utilize the Output Delivery System. Additional topics include operating system interfaces, table lookup techniques, and the creation of customized reports.