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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.
Whether you work in banking/finance, pharmaceuticals, the health and life sciences, or government, this unique book is intended for programmers of all skill levels and will help you harness all the power and capability of PROC REPORT. --
"Learn to manage and grow successful analytical teams within your business Examining analytics-one of the hottest business topics today-The new know argues that analytics is needed by all enterprises in order to be successful. Until now, enterprises have been required to know what happened in the past, but in today's environment, your organization is expected to have a good knowledge of what happens next. This innovative book covers Where analytics live in the enterprise The value of analytics Relationships betwixt and between Technologies of analytics Markets and marketers of analytics The new know is a timely, essential resource to staying competitive in your field"--Provided by publisher.
New and updated for SAS Enterprise Guide 4.2, this pragmatic, example-driven book demonstrates how programmers can use SAS code to enhance the capabilities of SAS Enterprise Guide.
Learn how to access analytics from SAS Cloud Analytic Services (CAS) using R and the SAS Viya platform. SAS Viya : The R Perspective is a general-purpose introduction to using R with the SAS Viya platform. SAS Viya is a high-performance, fault-tolerant analytics architecture that can be deployed on both public and private cloud infrastructures. This book introduces an entirely new way of using SAS statistics from R, taking users step-by-step from installation and fundamentals to data exploration and modeling. SAS Viya is made up of multiple components. The central piece of this ecosystem is SAS Cloud Analytic Services (CAS). CAS is the cloud-based server that all clients communicate with to ...
Learn data science concepts with real-world examples in SAS! End-to-End Data Science with SAS: A Hands-On Programming Guide provides clear and practical explanations of the data science environment, machine learning techniques, and the SAS programming knowledge necessary to develop machine learning models in any industry. The book covers concepts including understanding the business need, creating a modeling data set, linear regression, parametric classification models, and non-parametric classification models. Real-world business examples and example code are used to demonstrate each process step-by-step. Although a significant amount of background information and supporting mathematics are...
Discover deep learning and computer vision with SAS! Deep Learning for Computer Vision with SAS®: An Introduction introduces the pivotal components of deep learning. Readers will gain an in-depth understanding of how to build deep feedforward and convolutional neural networks, as well as variants of denoising autoencoders. Transfer learning is covered to help readers learn about this emerging field. Containing a mix of theory and application, this book will also briefly cover methods for customizing deep learning models to solve novel business problems or answer research questions. SAS programs and data are included to reinforce key concepts and allow readers to follow along with included demonstrations. Readers will learn how to: Define and understand deep learning Build models using deep learning techniques and SAS Viya Apply models to score (inference) new data Modify data for better analysis results Search the hyperparameter space of a deep learning model Leverage transfer learning using supervised and unsupervised methods
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.
Well over 18,000 total pages ... Most manuals published by the Department of the Army (with updates) between 1999 and 2003. Contains Repair, Repair Parts, Special Tools Lists, Maintenance, Checklist and Flight-related Technical Manuals and Bulletins for the CH-47A, CH-47B, CH-47C and CH-47D Chinook helicopter. Just a SAMPLE of the CONTENTS: AVIATION UNIT AND AVIATION INTERMEDIATE MAINTENANCE MANUAL CH-47D HELICOPTER, 1,335 pages - Aviation Unit and Aviation Intermediate Troubleshooting Manual, CH-47D Helicopter, 1,225 pages - ORGANIZATIONAL MAINTENANCE REPAIR PARTS AND SPECIAL TOOLS LISTS FOR ELECTRONIC EQUIPMENT CONFIGURATION FOR CH-47A, CH-47B, AND CH-47C HELICOPTERS, 116 pages - Preparati...