Handbook of Statistical Analyses Using SAS
Chapman & Hall/CRC (Publisher)
1st Edition
Published on 1. August 1996
Book
Paperback/Softback
168 pages
978-0-412-71050-6 (ISBN)
Article exhausted; check for reprint
Description
This essential handbook provides an introduction to the use of SAS for a variety of statistical analyses. Each chapter describes a particular technique applied to a particular data set, describes the relevant questions, gives a brief account of the methods used, details the SAS instructions needed to undertake analysis, and interprets the SAS output.
Handbook of Statistical Analysis Using SAS serves as an easy introduction to using SAS for statistics and as a stepping stone to using the more comprehensive SAS manuals available. Statistical users of SAS, especially in the pharmaceutical industry and medical research, will find this book of particular interest.
Handbook of Statistical Analysis Using SAS serves as an easy introduction to using SAS for statistics and as a stepping stone to using the more comprehensive SAS manuals available. Statistical users of SAS, especially in the pharmaceutical industry and medical research, will find this book of particular interest.
More details
Language
English
Place of publication
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Audience
Statistical users of SAS, especially in pharmaceuticals and medical research
Students learning SAS
Dimensions
Height: 235 mm
Width: 156 mm
Weight
249 gr
ISBN-13
978-0-412-71050-6 (9780412710506)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Geoff Der | Brian S. Everitt
Handbook of Statistical Analyses Using SAS, Second Edition
Book
08/2001
2nd Edition
Chapman & Hall/CRC
€62.08
Article exhausted; check for reprint
Persons
Author
University of Glasgow, Scotland, UK
King's College, University of London, UK
Content
A Brief Introduction to SAS
Data Description and Simple Inference: Mortality and Water Hardness in UK.
Multiple Regression: Predicting Crime Rates in States of the USA
Analysis of Variance I: Survival Times of Animals
Analysis of Variance II: Effectiveness of Slimming Clinics
Analysis of Repeated Measures: Salsolinol Excretion Rates.
Logistic Regression: Relationship Between the Incidence of Byssinosis and the Dustiness of the Workplace
Analysis of Survival Times: Motion Sickness and the Survival of Black Ducks
Principal Components and Factor Analysis: Statements About Pain
Cluster Analysis: Classification of Occupations
Discriminant Analysis: Identifying Types of Tibetan Skulls
Correspondence Analysis: Car-Changing Patterns
Appendix: Answers to Selected Exercises. References.
Data Description and Simple Inference: Mortality and Water Hardness in UK.
Multiple Regression: Predicting Crime Rates in States of the USA
Analysis of Variance I: Survival Times of Animals
Analysis of Variance II: Effectiveness of Slimming Clinics
Analysis of Repeated Measures: Salsolinol Excretion Rates.
Logistic Regression: Relationship Between the Incidence of Byssinosis and the Dustiness of the Workplace
Analysis of Survival Times: Motion Sickness and the Survival of Black Ducks
Principal Components and Factor Analysis: Statements About Pain
Cluster Analysis: Classification of Occupations
Discriminant Analysis: Identifying Types of Tibetan Skulls
Correspondence Analysis: Car-Changing Patterns
Appendix: Answers to Selected Exercises. References.