Statistical Analysis of Medical Data Using SAS

Statistical Analysis of Medical Data Using SAS

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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 qDisplays, q 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.To a#39;dummy-code a categorical variable with k categories, k a€“ 1 binary dummy variables are created. ... The following SAS code reads in the data and constructs the matrix of scatterplots: data young_man; input Mass Forearm Bicep Chest Neckanbsp;...


Title:Statistical Analysis of Medical Data Using SAS
Author: Geoff Der, Brian S. Everitt
Publisher:CRC Press - 2005-09-20
ISBN-13:

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