9781629603285-1629603287-Biostatistics by Example Using SAS® Studio

Biostatistics by Example Using SAS® Studio

ISBN-13: 9781629603285
ISBN-10: 1629603287
Author: Ron Cody EdD
Publication date: 2016
Publisher: SAS Institute
Format: Paperback 262 pages
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Book details

ISBN-13: 9781629603285
ISBN-10: 1629603287
Author: Ron Cody EdD
Publication date: 2016
Publisher: SAS Institute
Format: Paperback 262 pages

Summary

Biostatistics by Example Using SAS® Studio (ISBN-13: 9781629603285 and ISBN-10: 1629603287), written by authors Ron Cody EdD, was published by SAS Institute in 2016. With an overall rating of 4.1 stars, it's a notable title among other Mathematical & Statistical (Software, Enterprise Applications, Programming Languages) books. You can easily purchase or rent Biostatistics by Example Using SAS® Studio (Paperback) from BooksRun, along with many other new and used Mathematical & Statistical books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $12.14.

Description

Learn how to solve basic statistical problems with Ron Cody’s easy-to-follow style using the point-and-click SAS Studio tasks.

Aimed specifically at the health sciences, Biostatistics by Example Using SAS Studio, provides an introduction to SAS Studio tasks. The book includes many biological and health-related problem sets and is fully compatible with SAS University Edition.

After reading this book you will be able to understand temporary and permanent SAS data sets, and you will learn how to create them from various data sources. You 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 topics:

  • 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

Besides describing each of these statistical tests, the book also discusses the assumptions that need to be met before running and interpreting these tests. For two-sample tests and N-way tests, nonparametric tests are also described.

This book leads you step-by-step through each of the statistical tests with numerous screen shots, and you will see how to read and interpret all of the output generated by these tests.

Experience with some basic statistical tests used to analyze medical data or classroom experience in biostatistics or statistics is required. Although the examples are related to the medical and biology fields, researchers in other fields such as psychology or education will find this book helpful. No programming experience is required.

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