This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
|
333
|
Type:
|
Topic Contributed
|
Date/Time:
|
Tuesday, August 3, 2010 : 10:30 AM to 12:20 PM
|
Sponsor:
|
Section on Survey Research Methods
|
Abstract - #306601 |
Title:
|
Inference for Changes in the Kappa Statistic in Multi-level Clustered Binary Data
|
Author(s):
|
Rebecca Roberts Andridge*+
|
Companies:
|
The Ohio State University
|
Address:
|
B-116 Starling-Loving Hall, Columbus, OH, 43210,
|
Keywords:
|
kappa ;
agreement ;
group randomized trial ;
clustered data
|
Abstract:
|
Cohen's kappa is the most widely used measure of agreement for categorical outcomes. We consider the use of kappa statistics as outcome measures in a group randomized trial (GRT). In GRTs, identifiable groups rather than individuals are randomized to study conditions, and observations within a group tend to be correlated. In addition, we consider a longitudinal GRT design with multiple rating pairs on the same subject within cluster over time. This work is motivated by the Detroit Middle School Asthma Project, an extended nested cohort GRT assessing two in-school interventions to enhance management of asthma. In this study, parents and children provide dichotomous reports of the child's experiences with asthma in school, and it is of interest to evaluate whether the intervention increases agreement of parent and child.
|
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.