The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
Activity Number:
|
253
|
Type:
|
Contributed
|
Date/Time:
|
Monday, July 30, 2012 : 2:00 PM to 3:50 PM
|
Sponsor:
|
Biometrics Section
|
Abstract - #304086 |
Title:
|
Pearsonian Estimation and Inference for a Model-Based Measure of Agreement
|
Author(s):
|
Jie Gao*+ and Donald George Edwards and Andrew Wood and Jayaram Sethuraman
|
Companies:
|
University of South Carolina and University of South Carolina and University of Nottingham and Florida State University
|
Address:
|
501 E CENTERTON BLVD. APT.926, CENTERTON, AR, 72719, United States
|
Keywords:
|
Pigeonhole bootstrap ;
U-statistics ;
generalized method of moments
|
Abstract:
|
Cohen's ? (Educ. Psychol. Meas, 1960) is widely used for the assessment of agreement among raters each classifying subjects as diseased or not. Nelson and Edwards (Can. J. Stat., 2008) propose a generalized linear mixed model for the agreement process, showing that Cohen's ? can seriously underestimate agreement under this model and proposing a model-based coefficient ?m. Our paper adds theoretical justification and practical methods for estimation and inference for ?m. The Nelson-Edwards model for the agreement process is motivated by a threshold model with latent crossed random effects, item-rater interaction, and pure error. Under this structure ?m?is an increasing function of Pearson's (Philos. Trans. Roy. Soc. A, 1900) tetrachoric correlation between the latent effects of any two raters. A practical method for estimation and inference on ?m, analogous to that used by Pearson, is proposed. Asymptotics are established using a generalization of Hoeffding's (Ann. Math. Statist. 1948) method. The new methods are shown to be reliable at moderate sample sizes using simulation. A mammography example (Beam et al, Arch. Intern. Med.,1996) shows substantial differences between ?m and ?.
|
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 2012 program
|
2012 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.