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Biostatistics by Example Using SAS Studio by Ron Cody (2016, Trade Paperback)
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eBay-Artikelnr.:286824379123
Artikelmerkmale
- Artikelzustand
- ISBN
- 9781629603285
Über dieses Produkt
Product Identifiers
Publisher
SAS Institute
ISBN-10
1629603287
ISBN-13
9781629603285
eBay Product ID (ePID)
247414549
Product Key Features
Number of Pages
262 Pages
Publication Name
Biostatistics by Example Using Sas Studio
Language
English
Publication Year
2016
Subject
Mathematical & Statistical Software, Enterprise Applications / General
Type
Textbook
Subject Area
Computers
Format
Trade Paperback
Dimensions
Item Height
0.6 in
Item Weight
16 Oz
Item Length
9.2 in
Item Width
7.5 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
2016-461956
Illustrated
Yes
Synopsis
Aimed specifically at the health sciences, Biostatistics by Example Using SAS Studio , provides an introduction on how to use the point-and-click SAS Studio tasks to solve basic statistical problems. The book will include many biological and health related problem sets and will be fully compatible with SAS University Edition, Aimed specifically at the health sciences, Biostatistics by Example Using SAS Studio , provides an introduction on how to use the point-and-click SAS Studio tasks to solve basic statistical problems. The book will include many biological and health related problem sets and will be fully compatible with SAS University Edition., 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. Loading data files into SAS University Edition? Click here for more information., 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. Loading data files into SAS University Edition? Click here for more information.
LC Classification Number
MLCM 2019/44522 (Q)
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