Download or read book Base SAS 9 1 3 Procedures Guide written by SAS Institute and published by Sas Inst. This book was released on 2006 with total page 1934 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book SAS Programming for R Users written by Jordan Bakerman and published by . This book was released on 2019-12-09 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: SAS Programming for R Users, based on the free SAS Education course of the same name, is designed for experienced R users who want to transfer their programming skills to SAS. Emphasis is on programming and not statistical theory or interpretation. You will learn how to write programs in SAS that replicate familiar functions and capabilities in R. This book covers a wide range of topics including the basics of the SAS programming language, how to import data, how to create new variables, random number generation, linear modeling, Interactive Matrix Language (IML), and many other SAS procedures. This book also explains how to write R code directly in the SAS code editor for seamless integration between the two tools. Exercises are provided at the end of each chapter so that you can test your knowledge and practice your programming skills.

Download or read book A Handbook of Statistical Graphics Using SAS ODS written by Geoff Der and published by CRC Press. This book was released on 2014-08-15 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4. The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures. Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.

Download or read book Deep Learning for Numerical Applications with SAS Hardcover Edition written by Henry Bequet and published by . This book was released on 2019-08-16 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foreword by Oliver Schabenberger, PhD Executive Vice President, Chief Operating Officer and Chief Technology Officer SAS Dive into deep learning! Machine learning and deep learning are ubiquitous in our homes and workplaces-from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of deep learning with the goal of implementing cognitive applications fueled by Big Data. This book is different. Written by an expert in high-performance analytics, Deep Learning for Numerical Applications with SAS introduces a new field: Deep Learning for Numerical Applications (DL4NA). Contrary to deep learning, the primary goal of DL4NA is not to learn from data but to dramatically improve the performance of numerical applications by training deep neural networks. Deep Learning for Numerical Applications with SAS presents deep learning concepts in SAS along with step-by-step techniques that allow you to easily reproduce the examples on your high-performance analytics systems. It also discusses the latest hardware innovations that can power your SAS programs: from many-core CPUs to GPUs to FPGAs to ASICs. This book assumes the reader has no prior knowledge of high-performance computing, machine learning, or deep learning. It is intended for SAS developers who want to develop and run the fastest analytics. In addition to discovering the latest trends in hybrid architectures with GPUs and FPGAS, readers will learn how to Use deep learning in SAS Speed up their analytics using deep learning Easily write highly parallel programs using the many task computing paradigms

Download or read book SAS STAT 9 3 User s Guide written by Sas Institute and published by . This book was released on 2011-07 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The GLIMMIX procedure fits and analyzes generalized linear mixed models (GLMM), models with random effects for data that can be nonnormally distributed. This title is also available online.

Download or read book Data Mining Using SAS Applications written by George Fernandez and published by CRC Press. This book was released on 2010-12-12 with total page 536 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most books on data mining focus on principles and furnish few instructions on how to carry out a data mining project. Data Mining Using SAS Applications not only introduces the key concepts but also enables readers to understand and successfully apply data mining methods using powerful yet user-friendly SAS macro-call files. These methods stress the use of visualization to thoroughly study the structure of data and check the validity of statistical models fitted to data. Learn how to convert PC databases to SAS data Discover sampling techniques to create training and validation samples Understand frequency data analysis for categorical data Explore supervised and unsupervised learning Master exploratory graphical techniques Acquire model validation techniques in regression and classification The text furnishes 13 easy-to-use SAS data mining macros designed to work with the standard SAS modules. No additional modules or previous experience in SAS programming is required. The author shows how to perform complete predictive modeling, including data exploration, model fitting, assumption checks, validation, and scoring new data, on SAS datasets in less than ten minutes!

Download or read book Principles and Practice of Stereotactic Radiosurgery written by Lawrence S. Chin and published by Springer Science & Business Media. This book was released on 2010-05-05 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first contemporary, comprehensive reference for neurosurgeons and radiation oncologists using Gamma Knife and Linear Accelerator technology. Each chapter includes specific case presentations representative of the most commonly treated conditions, including applications for spinal disorders. Chapters conclude with counterpoint experiences, oriented to treatment options other than radiosurgery. These counterpoint discussions are written by noted experts and address in greater detail the indications, results and complications of their approach and enable readers to improve decision making with regard to their own patients.

Download or read book Applying Data Science written by Gerhard Svolba and published by SAS Institute. This book was released on 2017-03-29 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: See how data science can answer the questions your business faces! Applying Data Science: Business Case Studies Using SAS, by Gerhard Svolba, shows you the benefits of analytics, how to gain more insight into your data, and how to make better decisions. In eight entertaining and real-world case studies, Svolba combines data science and advanced analytics with business questions, illustrating them with data and SAS code. The case studies range from a variety of fields, including performing headcount survival analysis for employee retention, forecasting the demand for new projects, using Monte Carlo simulation to understand outcome distribution, among other topics. The data science methods covered include Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, Poisson regression, imputation of missing values, variable clustering, and much more! Written for business analysts, statisticians, data miners, data scientists, and SAS programmers, Applying Data Science bridges the gap between high-level, business-focused books that skimp on the details and technical books that only show SAS code with no business context.

Download or read book Statistical Data Mining Using SAS Applications written by George Fernandez and published by CRC Press. This book was released on 2010-06-18 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features of user-friendly data mining SAS tools. Integrating the statistical and graphical analysis tools available in SAS systems, the book provides complete statistical data mining solutions without writing SAS program co

Download or read book SAS ETS User s Guide written by and published by . This book was released on 1982 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Health of Populations written by Stephen J. Kunitz M.D. and published by Oxford University Press. This book was released on 2006-09-28 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the maelstrom of current public health debate over the social determinants of health, this book offers a well-balanced discussion on the roots of prevalent strains of thought on the matter. While this area of research deals in complex problems, it is often dominated by those who deploy rather categorical, partisan positions, citing from a wide range of contradictory statistical studies. Stephen Kunitz brings a measured, balanced and independent perspective to bear on the debate, taking a step back from current arguments to look at the fundamental issues through a socio-historical lens. Part I describes how ideas about the costs and benefits of industrialization, and about the causes of disease, have been used by writers from different ideological persuasions to explain the health of populations. Part II focuses on some of the ideas that have been particularly influential in contemporary debates: factors such as standard of living, community and its loss, inequality, and globalization. The fact that these have been used to support differing explanations of the determinants of population health suggests that there are no easy generalizations in a field with so many discrepant findings. Scientists often ignore anomalous findings in the interests of advancing a particular paradigm, until the anomalies outweigh the norm and a new paradigm is created. This book argues that in considering social determinants of health, no meaningful over-arching explanations may be possible. Rather, it is by immersion in the reality of particular contexts - work settings, historical periods, geopolitical regions, and governmental credos - that we may gain a better understanding of the way in which social forces shape patterns of health and disease.

Download or read book SAS Certification Prep Guide written by Joni N. Shreve and published by SAS Institute. This book was released on 2018-12-18 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: Must-have study guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam! Written for both new and experienced SAS programmers, the SAS® Certification Prep Guide: Statistical Business Analysis Using SAS®9 is an in-depth prep guide for the SAS® Certified Statistical Business Analyst Using SAS®9: Regression and Modeling exam. The authors step through identifying the business question, generating results with SAS, and interpreting the output in a business context. The case study approach uses both real and simulated data to master the content of the certification exam. Each chapter also includes a quiz aimed at testing the reader’s comprehension of the material presented. Major topics include: ANOVA Linear Regression Logistic Regression Inputs for Predictive Modeling Model Performance For those new to statistical topics or those needing a review of statistical foundations, this book also serves as an excellent reference guide for understanding descriptive and inferential statistics. Appendices can be found here.

Download or read book Sampling With Unequal Probabilities written by K. R. W. Brewer and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: Work for this mono graph on sampling wi th unequal probabili ties was started when Muhammad Hanif was a visitor to the then Commonwealth Bureau of Census and Statistics, Canberra, in 1969. It remained in abeyance until he again visi ted Canberra, this time the Australian National University's Survey Research Centre in 1978 as Visiting Fellow. The work was substantially completed when K.R.W. Brewer visited EI-Fateh University during January 1980 as Visiting Professor. Finally, in 1982 the Bibliography was revised and corrected, and a number of references added which da not appeal" in the text. These are indicated by an asterisk (:, q. The authors are indebted to Mr. E.K. foreman and the sampling staff (past and present) at the Australian Bureau of Statistics for their help and encouragement and tü t-lrs Bar:='ara Geary für her excellent mathematical typing. Canberra K.R.W. Brewer May 1982. Muhammad Hanif vii CONTENTS CHAPTER 1: ..1;1 r:17~ODUCTION TO SAMPLING WITH UNEQUAL PP. OBABILITIES 1 ... Sam.::: Basic Concepts ~j"otation and Abbreviations 4 1

Download or read book Emerging Infectious Diseases written by and published by . This book was released on 2009 with total page 1140 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Learning SAS by Example written by Ron Cody and published by SAS Institute. This book was released on 2018-07-03 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn to program SAS by example! Learning SAS by Example, A Programmer’s Guide, Second Edition, teaches SAS programming from very basic concepts to more advanced topics. Because most programmers prefer examples rather than reference-type syntax, this book uses short examples to explain each topic. The second edition has brought this classic book on SAS programming up to the latest SAS version, with new chapters that cover topics such as PROC SGPLOT and Perl regular expressions. This book belongs on the shelf (or e-book reader) of anyone who programs in SAS, from those with little programming experience who want to learn SAS to intermediate and even advanced SAS programmers who want to learn new techniques or identify new ways to accomplish existing tasks. In an instructive and conversational tone, author Ron Cody clearly explains each programming technique and then illustrates it with one or more real-life examples, followed by a detailed description of how the program works. The text is divided into four major sections: Getting Started, DATA Step Processing, Presenting and Summarizing Your Data, and Advanced Topics. Subjects addressed include Reading data from external sources Learning details of DATA step programming Subsetting and combining SAS data sets Understanding SAS functions and working with arrays Creating reports with PROC REPORT and PROC TABULATE Getting started with the SAS macro language Leveraging PROC SQL Generating high-quality graphics Using advanced features of user-defined formats and informats Restructuring SAS data sets Working with multiple observations per subject Getting started with Perl regular expressions You can test your knowledge and hone your skills by solving the problems at the end of each chapter.

Download or read book Explanatory Item Response Models written by Paul de Boeck and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume gives a new and integrated introduction to item response models (predominantly used in measurement applications in psychology, education, and other social science areas) from the viewpoint of the statistical theory of generalized linear and nonlinear mixed models. It also includes a chapter on the statistical background and one on useful software.

Download or read book Handbook of Statistical Systems Biology written by Michael Stumpf and published by John Wiley & Sons. This book was released on 2011-09-09 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters. This book: Provides a comprehensive account of inference techniques in systems biology. Introduces classical and Bayesian statistical methods for complex systems. Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems. Discusses various applications for statistical systems biology, such as gene regulation and signal transduction. Features statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies. Presents an in-depth presentation of reverse engineering approaches. Provides colour illustrations to explain key concepts. This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.