This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
43
|
Type:
|
Contributed
|
Date/Time:
|
Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Section on Statistics in Epidemiology
|
Abstract - #307720 |
Title:
|
A Comparison of Logistic Regression Goodness-of-Fit Statistics When Applied to the Log Link
|
Author(s):
|
Steve John Quinn*+ and Leigh Blizzard and David W. Hosmer
|
Companies:
|
Menzies Research Institute and Menzies Research Institute and University of Massachusetts, Amherst
|
Address:
|
Private Bag 23, Hobart, Tasmania, 7001, Australia
|
Keywords:
|
log binomial ;
goodness-of-fit
|
Abstract:
|
Blizzard L & Hosmer DW (2006) contributed to the development of the log binomial regression model for binary outcomes that make it possible to directly estimate relative risk in follow-up studies, and prevalence ratios in cross-sectional studies, and to adjust for continuous covariates. There are several goodness-of-fit statistics that describe how well a logistic regression model fits a set of observations, but to date little work has been done that summarizes the discrepancy between observed and expected values for log link models. Through extensive simulations we compare the performance of several goodness-of-fit statistics via rejection rates, power to detect an incorrectly model, and power to detect an incorrectly specified link when applied to log link 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 2010 program
|
2010 JSM Online Program Home
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.