A Handbook of Statistical Graphics Using SAS ODS: 1st Edition (Hardback) book cover

A Handbook of Statistical Graphics Using SAS ODS

1st Edition

By Geoff Der, Brian S. Everitt

Chapman and Hall/CRC

244 pages | 134 B/W Illus.

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Hardback: 9781466599031
pub: 2014-08-15
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Description

Easily Use SAS to Produce Your Graphics

Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4.

The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures.

Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.

Table of Contents

An Introduction to Graphics: Good Graphics, Bad Graphics, Catastrophic Graphics and Statistical Graphics

The Challenger Disaster

Graphical Displays

A Little History and Some Early Graphical Displays

Graphical Deception

An Introduction to ODS Graphics

Generating ODS Graphs

ODS Destinations

Statistical Graphics Procedures

ODS Graphs from Statistical Procedures

Controlling ODS Graphics

Controlling Labelling in Graphs

ODS Graphics Editor

Graphs for Displaying the Characteristics of Univariate Data: Horse Racing, Mortality Rates, Forearm Lengths, Survival Times and Geyser Eruptions

Introduction

Pie Chart, Bar Chart and Dot Plot Displays

Histogram, Stem-and-Leaf and Boxplot Displays

Graphs for Displaying Cross-Classified Categorical Data: Germinating Seeds, Piston Rings, Hodgkin’s Disease and European Stereotypes

Introduction

Bar Charts for Cross-Classified Categorical Data

Mosaic and Association Plots for Cross-Classified Data

Correspondence Analysis

Graphs for Use When Applying t-Tests and Analyses of Variance: Skulls, Cancer Survival Times and Effect of Smoking on Performance

Introduction

Graphing the Skulls Data

Graphing Cancer Survival Times

Effects of Smoking on Performance

Linear Regression, the Scatterplot and Beyond: Galaxies, Anaerobic Threshold, Birds on Islands, Birth and Death Rates, U.S. Birth Rates during and after World War II, and Air Pollution in U.S. Cities

Introduction

The Scatterplot

Galaxies

Anaerobic Threshold

Birds on Islands

Birth and Death Rates

U.S. Birth Rates during and after World War II

Air Pollution in the United States

Graphs for Logistic Regression: Blood Screening, Women’s Role in Society and Feeding Alligators

Introduction

Logistic Regression

Blood Screening

Women’s Role in Society

Alligator Food

Graphing Longitudinal Data: Glucose Tolerance Tests and Cognitive Behavioural Therapy (CBT) for Depression

Introduction

Graphical Displays for Longitudinal Data

Glucose Challenge Data

CBT for Depression

Graphing Residuals from Fitting Models to Longitudinal Data

Graphs for Survival Data: Motion Sickness and Breast Cancer

Introduction

The Survival Function

The Survival Function of the Motion Sickness Data

The Hazard Function

Cox Regression

Graphical Presentation of Results from an Analysis of Survival Data

References

Index

Summary and Exercises appear at the end of most chapters.

Subject Categories

BISAC Subject Codes/Headings:
MAT029000
MATHEMATICS / Probability & Statistics / General