A Handbook of Statistical Analyses Using SAS
360 pages, parution le 01/09/2001
Résumé
Powerful software often comes, unfortunately, with an
overwhelming amount of documentation. As a leading
statistics software package, SAS is no exception. Its
manuals comprise well over 10,000 pages and can intimidate,
or at least bewilder, all but the most experienced users.A
Handbook of Statistical Analyses using SAS, Second Edition
comes to the rescue. Fully revised to reflect SAS Version
8.1, it gives a concise, straightforward description of how
to conduct a range of statistical analyses. The authors
have updated and expanded every chapter in this new
edition, and have incorporated a significant amount of new
material. The book now contains more graphical material,
more and better data sets within each chapter, more
exercises, and more statistical background for each method.
Completely new topics include the following:· Data
description and simple inference for categorical variables·
Generalized linear models · Longitudinal data: Two new
chapters discuss simple approaches, graphs, summary
measure, and random effect modelsResearcher or student, new
user or veteran, you will welcome this self-contained guide
to the latest version of SAS. With its clear examples and
numerous exercises, A Handbook of Statistical Analyses
using SAS, Second Edition is not only a valuable reference,
but also forms the basis for introductory courses on either
SAS or applied statistics at any level, from undergraduate
to professional.
Contents
A BRIEF INTRODUCTION TO SAS
- Introduction
- The Microsoft Windows User Interface
- The Editor Window
- The Log and Output Windows
- Other Menus
- The SAS Language
- All SAS Statements Must End with a Semicolon
- Program Steps
- Variable Names and Data Set Names
- Variable Lists
- The Data Step
- Creating SAS Data Sets from Raw Data
- The Data Statement
- The Infile Statement
- The Input Statement
- Reading Data from an Existing SAS Data Set
- Storing SAS Data Sets on Disk
- Modifying SAS Data
- Creating and Modifying Variables
- Deleting Variables
- Deleting Observations
- Subsetting Data Sets
- Concatenating and Merging Data Sets
- Merging Data Sets: Adding Variables
- The Operation of the Data Step
- The proc Step
- The proc Statement
- The var Statement
- The where Statement
- The by Statement
- The class Statement
- Global Statements
- ODS: The Output Delivery System
- SAS Graphics
- Proc gplot
- Overlaid Graphs
- Viewing and Printing Graphics
- Some Tips for Preventing and Correcting Errors
- Description of Data
- Methods of Analysis
- Analysis Using SAS
- Description of Data
- Methods of Analysis
- Analysis Using SAS
- Cross-classifying Raw Data
- Sandflies
- Acacia Ants
- Piston Rings
- Oral Contraceptives
- Oral Cancers
- Particulates and Bronchitis
- Description of Data
- The Multiple Regression Model
- Analysis Using SAS
- Description of Data
- Analysis of Variance Model
- Analysis Using SAS
- Description of Data
- Analysis of Variance Model
- Type I Sums of Squares
- Type III Sums of Squares
- Analysis Using SAS
- Description of Data
- Repeated Measures Data
- Analysis of Variance for Repeated Measures Designs
- Analysis Using SAS
- Description of Data
- The Logistic Regression Model
- Analysis Using SAS
- GHQ Data
- ESR and Plasma Levels
- Danish Do-It-Yourself
- Description of Data
- Generalized Linear Models
- Model Selection and Measure of Fit
- Analysis Using SAS
- Description of Data
- The Analyses of Longitudinal Data
- Analysis Using SAS
- Graphical Displays
- Response Feature Analysis
- Description of Data
- Random Effects Models
- Analysis Using SAS
- Description of Data
- Describing Survival and Cox's Regression Model
- Survival Function
- Hazard Function
- Cox's Regression
- Analysis Using SAS
- Gastric Cancer
- Methadone Treatment of Heroin Addicts
- Exercises
- Description of Data
- Principal Components and Factor Analyses
- Principal Components Analysis
- Factor Analysis
- Analysis Using SAS
- Olympic Decathlon
- Statements about Pain
- CLUSTER ANALYSIS
- Description of Data
- Cluster Analysis
- Analysis Using SAS
- Description of Data
- Discriminant Function Analysis
- Analysis Using SAS
- Description of Data
- Displaying Contingency Table Data Graphically Using Correspondence Analysis
- Analysis Using SAS
- Boyfriends
- Smoking and Motherhood
- Are the Germans Really Arrogant?
- Exercises
- SAS Macro to Produce Scatterplot Matrices
- Answers to Selected Chapter Exercises
- Each chapter also contains Exercises
L'auteur - Brian S. Everitt
Brian Everitt is Emeritus Professor of Statistics, King's College, London.
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Chapman and Hall / CRC |
| Auteur(s) | Geoff Der, Brian S. Everitt |
| Parution | 01/09/2001 |
| Nb. de pages | 360 |
| Format | 15,5 x 23,5 |
| Couverture | Broché |
| Poids | 545g |
| Intérieur | Noir et Blanc |
| EAN13 | 9781584882459 |
| ISBN13 | 978-1-58488-245-9 |
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