文件名称：Biostatistics by Example Using SAS Studio
文件大小：11.34MB
文件格式：PDF
更新时间：2021-09-19 19:06:45
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Biostatistics by Example Using SAS Studio PDF Purpose SAS University Edition and its user interface, SAS Studio, have become very popular. SAS Studio can also be used with standard versions of SAS, perhaps as an alternative to SAS Enterprise Guide. SAS Studio includes built-in tasks for importing data from external files (Excel, for example) and, best of all, it includes point-and-click statistical tasks for just about any statistical study. This book will benefit the reader by doing the following: 1. Providing step-by-step instructions, complete with screen shots, of how to use SAS University Edition and SAS Studio to perform most statistical queries. 2. Discussing the theory behind each statistical test, with emphasis on the assumptions that need to be satisfied before running each test. 3. Helping the reader negotiate some of the trickier aspects of running SAS University Edition. For example, this book explains how to access files on a local hard drive and make them available on the virtual machine where SAS is running. 4. Providing a detailed explanation of the output produced by each statistical procedure. 5. Presenting practice problems (with solutions to the odd-numbered problems). Is This Book for You? The audience for this book consists mostly of students in a statistics or a biostatistics class. Although the book uses biostatistical examples, students in other classes such as educational or business statistics will also benefit. In addition, data analysts in the pharmaceutical industry will also find valuable information in this book. Prerequisites There is NO prerequisite for readers of this book. It is written with the assumption that the reader has never used SAS before. Scope of This Book The first section of this book explains how to install the SAS University Edition and the virtualization software needed to run it. Readers of this book may also be using SAS Studio with a standard edition of SAS (as opposed to the SAS University Edition). Subsequent chapters describe how to import data from a variety of sources such as Excel workbooks and CSV files. Following these chapters is a chapter on using the SAS Studio tasks to perform descriptive statistics, the first step in almost any data analysis project. Most of the remaining chapters cover all the basic statistical tests commonly used in biostatistical analysis. A final chapter is devoted to sample size and power calculations. This topic is not usually covered in a book of this type, even though it is a very important topic. After reading this book, you will be able to understand temporary and permanent SAS data sets and how to create them from various data sources. The reader will also be able to use SAS Studio Statistics tasks to generate descriptive statistics for continuous and categorical data. The inferential statistics portion of the book covers the following: • Paired and unpaired t tests • One-way analysis of variance • N-Way ANOVA • Correlation • Simple and multiple regression • Logistic regression • Categorical data analysis • Power and sample size calculations