JSM 2005 - Toronto

Abstract #303900

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. 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, 2005); 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.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page
Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 200
Type: Contributed
Date/Time: Monday, August 8, 2005 : 2:00 PM to 3:50 PM
Sponsor: ENAR
Abstract - #303900
Title: Does It Fit? Comparing Different Measures of Model Adequacy in Logistic Regression
Author(s): Leann Myers*+ and Hui-yi Lin
Companies: Tulane University and Louisiana State University
Address: Dept Biostatistics Tulane SPHTM, New Orleans, LA, 70112, United States
Keywords: logistic regression ; goodness-of-fit ; simulation ; categorical data
Abstract:

A number of statistics have been proposed to assess "model adequacy" in logistic regression. For example, the Hosmer-Lemeshow (1988) and deviance goodness-of-fit statistics are available from standard software, as are several forms of R-squared. The c-index, or Area Under the Curve of the ROC curve relating predicted to observed data, has been used to assess logistic models and is available from the standard statistical software. The Brier index, which is the sum of squared deviations of predicted from observed, is another proposed evaluation measure, as are bootstrapping and crossvalidation (Steyerberg et al. 2001). These authors compared some of the above measures using simulated data from a myocardial infarction dataset. The current study extends the findings of Steyerberg et al. (2001), comparing the performance of these different measures for a variety of simulated logistic models. How the measures differ and what they have in common is discussed in addition to their relative performance under the different conditions.

  • 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 2005 program

JSM 2005 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 2005