下载：（经典SAS统计书）A Handbook of Statistical Analyses using SAS (SECOND EDITION)

Contents

1 A Brief Introduction to SAS

1.1 Introduction

1.2 The Microsoft Windows User Interface

1.2.1 The Editor Window

1.2.2 The Log and Output Windows

1.2.3 Other Menus

1.3 The SAS Language

1.3.1 All SAS Statements Must End with a Semicolon

1.3.2 Program Steps

1.3.3 Variable Names and Data Set Names

1.3.4 Variable Lists

1.4 The Data Step

1.4.1 Creating SAS Data Sets from Raw Data

1.4.2 The Data Statement

1.4.3 The Infile Statement

1.4.4 The Input Statement

1.4.5 Reading Data from an Existing SAS Data Set

1.4.6 Storing SAS Data Sets on Disk

1.5 Modifying SAS Data

1.5.1 Creating and Modifying Variables

1.5.2 Deleting Variables

1.5.3 Deleting Observations

1.5.4 Subsetting Data Sets

1.5.5 Concatenating and Merging Data Sets

1.5.6 Merging Data Sets: Adding Variables

1.5.7 The Operation of the Data Step

1.6 The

proc

Step

1.6.1 The

proc

Statement

1.6.2 The

var

Statement

©2002 CRC Press LLC

1.6.3 The

where

Statement

1.6.4 The

by

Statement

1.6.5 The

class

Statement

1.7 Global Statements

1.8 ODS: The Output Delivery System

1.9 SAS Graphics

1.9.1

Proc

gplot

1.9.2 Overlaid Graphs

1.9.3 Viewing and Printing Graphics

1.10 Some Tips for Preventing and Correcting Errors

2 Data Description and Simple Inference: Mortality and Water

Hardness in the U.K.

2.1 Description of Data

2.2 Methods of Analysis

2.3 Analysis Using SAS

Exercises

3 Simple Inference for Categorical Data: From Sandflies to

Organic Particulates in the Air

3.1 Description of Data

3.2 Methods of Analysis

3.3 Analysis Using SAS

3.3.1 Cross-Classifying Raw Data

3.3.2 Sandflies

3.3.3 Acacia Ants

3.3.4 Piston Rings

3.3.5 Oral Contraceptives

3.3.6 Oral Cancers

3.3.7 Particulates and Bronchitis

Exercises

4 Multiple Regression: Determinants of Crime Rate in the

United States

4.1 Description of Data

4.2 The Multiple Regression Model

4.3 Analysis Using SAS

Exercises

5 Analysis of Variance I: Treating Hypertension

5.1 Description of Data

5.2 Analysis of Variance Model

5.3 Analysis Using SAS

©2002 CRC Press LLC

Exercises

6 Analysis of Variance II: School Attendance Amongst

Australian Children

6.1 Description of Data

6.2 Analysis of Variance Model

6.2.1 Type I Sums of Squares

6.2.2 Type III Sums of Squares

6.3 Analysis Using SAS

Exercises

7 Analysis of Variance of Repeated Measures: Visual Acuity

7.1 Description of Data

7.2 Repeated Measures Data

7.3 Analysis of Variance for Repeated Measures Designs

7.4 Analysis Using SAS

Exercises

8 Logistic Regression: Psychiatric Screening, Plasma Proteins, and

Danish Do-It-Yourself

8.1 Description of Data

8.2 The Logistic Regression Model

8.3 Analysis Using SAS

8.3.1 GHQ Data

8.3.2 ESR and Plasma Levels

8.3.3 Danish Do-It-Yourself

Exercises

9 Generalised Linear Models: School Attendance Amongst

Australian School Children

9.1 Description of Data

9.2 Generalised Linear Models

9.2.1 Model Selection and Measure of Fit

9.3 Analysis Using SAS

Exercises

10 Longitudinal Data I: The Treatment of Postnatal Depression

10.1 Description of Data

10.2 The Analyses of Longitudinal Data

10.3 Analysis Using SAS

10.3.1 Graphical Displays

10.3.2 Response Feature Analysis

Exercises

©2002 CRC Press LLC

11 Longitudinal Data II: The Treatment of Alzheimer’s Disease

11.1 Description of Data

11.2 Random Effects Models

11.3 Analysis Using SAS

Exercises

12 Survival Analysis: Gastric Cancer and Methadone Treatment

of Heroin Addicts

12.1 Description of Data

12.2 Describing Survival and Cox’s Regression Model

12.2.1 Survival Function

12.2.2 Hazard Function

12.2.3 Cox’s Regression

12.3 Analysis Using SAS

12.3.1 Gastric Cancer

12.3.2 Methadone Treatment of Heroin Addicts

Exercises

13 Principal Components Analysis and Factor Analysis:

The Olympic Decathlon and Statements about Pain

13.1 Description of Data

13.2 Principal Components and Factor Analyses

13.2.1 Principal Components Analysis

13.2.2 Factor Analysis

13.2.3 Factor Analysis and Principal Components

Compared

13.3 Analysis Using SAS

13.3.1 Olympic Decathlon

13.3.2 Statements about Pain

Exercises

14 Cluster Analysis: Air Pollution in the U.S.A.

14.1 Description of Data

14.2 Cluster Analysis

14.3 Analysis Using SAS

Exercises

15 Discriminant Function Analysis: Classifying Tibetan Skulls

15.1 Description of Data

15.2 Discriminant Function Analysis

15.3 Analysis Using SAS

Exercises

©2002 CRC Press LLC

16 Correspondence Analysis: Smoking and Motherhood,

Sex and the Single Girl, and European Stereotypes

16.1 Description of Data

16.2 Displaying Contingency Table Data Graphically Using

Correspondence Analysis

16.3 Analysis Using SAS

16.3.1 Boyfriends

16.3.2 Smoking and Motherhood

16.3.3 Are the Germans Really Arrogant?

Exercises

Appendix A: SAS Macro to Produce Scatterplot Matrices

Appendix B: Answers to Selected Chapter Exercises

References