JSM 2012 Home

JSM 2012 Online Program

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: 299
Type: Contributed
Date/Time: Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
Sponsor: Biopharmaceutical Section
Abstract - #306215
Title: Tree-Structured Reliability Analysis for Magnetic Resonance Imaging (MRI) Data
Author(s): Ruji Yao*+ and Hanzhe Zheng
Companies: and Merck Research Laboratories
Address: 1 Honeyman Road, Basking Ridge, NJ, 07920, United States
Keywords: reliability ; regression tree ; MRI
Abstract:

Inter-rater reliability refers to a comparison of scores assigned to the same target by two or more raters. The simplicity of the two-way fixed effect model has rendered it a popular method for reliability estimation. On the other hand, "trees" - a class of non-parametric methods used to break partition-able data into several pieces (nodes), allows each node to then be fit with most suitable method. Here, we present an intuitive tree-based approach for reliability estimation. In a recent clinical trial, we used MRI data to evaluate the treatment effect on subjects with active axial spondyloarthritis. Each MRI slide was scored by two independent raters and the average of the two scores was used as an endpoint. In a routine reliability check, we noticed several intuitively incorrect reliability results as compared with the raw data. Motivated by several tree-based methods, we partition the response data to create a simple 2-node tree; we then combine the results with a modified reliability formula. With this new formula, the reported reliability scores follow intuitively from the raw data and also provide additional insight into the source of the variance of the MRI data itself.


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.