Assessing agreement with repeated measures for random observers.

Published

Journal Article

Agreement studies are often concerned with assessing whether different observers for measuring responses on the same subject or sample can produce similar results. The concordance correlation coefficient (CCC) is a popular index for assessing the closeness among observers for quantitative measurements. Usually, the CCC is used for data without and with replications based on subject and observer effects only. However, we cannot use this methodology if repeated measurements rather than replications are collected. Although there exist some CCC-type indices for assessing agreement with repeated measurements, there is no CCC for random observers and random time points. In this paper, we propose a new CCC for repeated measures where both observers and time points are treated as random effects. A simulation study demonstrates our proposed methodology, and we use vertebral body data and image data for illustrations.

Full Text

Duke Authors

Cited Authors

  • Chen, C-C; Barnhart, HX

Published Date

  • December 30, 2011

Published In

Volume / Issue

  • 30 / 30

Start / End Page

  • 3546 - 3559

PubMed ID

  • 22095759

Pubmed Central ID

  • 22095759

Electronic International Standard Serial Number (EISSN)

  • 1097-0258

Digital Object Identifier (DOI)

  • 10.1002/sim.4353

Language

  • eng

Conference Location

  • England