Analyzing Medical Data Using S-PLUS - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analyzing Medical Data Using S-PLUS write by Brian Everitt. This book was released on 2013-03-09. Analyzing Medical Data Using S-PLUS available in PDF, EPUB and Kindle. Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises. All data sets are taken from genuine medical investigations and will be available on a web site. The examples in the book contain extensive graphical analysis to highlight one of the prime features of S-PLUS. Written with few details of S-PLUS and less technical descriptions, the book concentrates solely on medical data sets, demonstrating the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.
Analyzing Medical Data Using S-Plus
Analyzing Medical Data Using S-Plus - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Analyzing Medical Data Using S-Plus write by Brian Everitt. This book was released on 2014-01-15. Analyzing Medical Data Using S-Plus available in PDF, EPUB and Kindle.
Regression Modeling Strategies
Regression Modeling Strategies - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Regression Modeling Strategies write by Frank E. Harrell. This book was released on 2013-03-09. Regression Modeling Strategies available in PDF, EPUB and Kindle. Many texts are excellent sources of knowledge about individual statistical tools, but the art of data analysis is about choosing and using multiple tools. Instead of presenting isolated techniques, this text emphasizes problem solving strategies that address the many issues arising when developing multivariable models using real data and not standard textbook examples. It includes imputation methods for dealing with missing data effectively, methods for dealing with nonlinear relationships and for making the estimation of transformations a formal part of the modeling process, methods for dealing with "too many variables to analyze and not enough observations," and powerful model validation techniques based on the bootstrap. This text realistically deals with model uncertainty and its effects on inference to achieve "safe data mining".
Statistical Analysis of Medical Data Using SAS
Statistical Analysis of Medical Data Using SAS - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Analysis of Medical Data Using SAS write by Geoff Der. This book was released on 2005-09-20. Statistical Analysis of Medical Data Using SAS available in PDF, EPUB and Kindle. Statistical analysis is ubiquitous in modern medical research. Logistic regression, generalized linear models, random effects models, and Cox's regression all have become commonplace in the medical literature. But while statistical software such as SAS make routine application of these techniques possible, users who are not primarily statisticians must take care to correctly implement the various procedures and correctly interpret the output. Statistical Analysis of Medical Data Using SAS demonstrates how to use SAS to analyze medical data. Each chapter addresses a particular analysis method. The authors briefly describe each procedure, but focus on its SAS implementation and properly interpreting the output. The carefully designed presentation relegates the theoretical details to "Displays," so that the code and results can be explored without interruption. All of the code and data sets used in the book are available for download from either the SAS Web site or www.crcpress.com. Der and Everitt, authors of the best-selling Handbook of Statistical Analyses Using SAS, bring all of their considerable talent and experience to bear in this book. Step-by-step instructions, lucid explanations and clear examples combine to form an outstanding, self-contained guide--suitable for medical researchers and statisticians alike--to using SAS to analyze medical data.
A Handbook of Statistical Analyses Using S-Plus, Second Edition
A Handbook of Statistical Analyses Using S-Plus, Second Edition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook A Handbook of Statistical Analyses Using S-Plus, Second Edition write by Brian S Everitt. This book was released on 2020-09-30. A Handbook of Statistical Analyses Using S-Plus, Second Edition available in PDF, EPUB and Kindle. Since the first edition of this book was published, S-PLUS has evolved markedly with new methods of analysis, new graphical procedures, and a convenient graphical user interface (GUI). Today, S-PLUS is the statistical software of choice for many applied researchers in disciplines ranging from finance to medicine. Combining the command line language and GUI of S-PLUS now makes this book even more suitable for inexperienced users, students, and anyone without the time, patience, or background needed to wade through the many more advanced manuals and texts on the market. The second edition of A Handbook of Statistical Analyses Using S-Plus has been completely revised to provide an outstanding introduction to the latest version of this powerful software system. Each chapter focuses on a particular statistical technique, applies it to one or more data sets, and shows how to generate the proposed analyses and graphics using S-PLUS. The author explains S-PLUS functions from both the Windows and command-line perspectives and clearly demonstrates how to switch between the two. This handbook provides the perfect vehicle for introducing the exciting possibilities S-PLUS, S-PLUS 2000, and S-PLUS 6 hold for data analysis. All of the data sets used in the text, along with script files giving the command language used in each chapter, are available for download from the Internet at http: //www.iop.kcl.ac.uk/iop/Departments/BioComp/splus.shtml
