JSM 2004 - Toronto

Abstract #300730

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2004 Program page
Activity Number: 218
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Graphics
Abstract - #300730
Title: Graphical Methods for Binary Data
Author(s): Karen L. Price*+ and John W. Seaman
Companies: Eli Lilly and Company and Baylor University
Address: Lilly Corporate Center -- D/C 6026, Indianapolis, IN, 46285,
Keywords: binary data ; graphical representation ; grayscale plots ; Bayesian methods
Abstract:

Graphical analysis is essential in most statistical problems. Boxplots, histograms, stem-and-leaf plots, and scatterplots are standard graphical tools. For investigating bivariate relationships among continuous variables scatterplots are particularly useful, but if the response is binary such plots are of dubious value. Recently, Eno and Terrell (1999) introduced an innovative method using grayscale graphics as a solution to this problem. We improve on Eno and Terrell's method to ease interpretation of graphical results. We also adapt the method for use with Bayesian models allowing the user to plot posterior distributions. We review some standard methods for plotting binary data, detail the grayscale plotting method introduced by Eno and Terrell, discuss improvements we have made to the grayscale plot for binary data, and adapt grayscale plots for use with Bayesian models.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2004 program

JSM 2004 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2004