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Assessing agreement with repeated measures for random observers.

Publication ,  Journal Article
Chen, C-C; Barnhart, HX
Published in: Stat Med
December 30, 2011

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.

Duke Scholars

Published In

Stat Med

DOI

EISSN

1097-0258

Publication Date

December 30, 2011

Volume

30

Issue

30

Start / End Page

3546 / 3559

Location

England

Related Subject Headings

  • Time Factors
  • Statistics & Probability
  • Spine
  • Random Allocation
  • Radiography
  • Observer Variation
  • Monte Carlo Method
  • Humans
  • Echocardiography
  • Computer Simulation
 

Citation

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Chen, C.-C., & Barnhart, H. X. (2011). Assessing agreement with repeated measures for random observers. Stat Med, 30(30), 3546–3559. https://doi.org/10.1002/sim.4353
Chen, Chia-Cheng, and Huiman X. Barnhart. “Assessing agreement with repeated measures for random observers.Stat Med 30, no. 30 (December 30, 2011): 3546–59. https://doi.org/10.1002/sim.4353.
Chen C-C, Barnhart HX. Assessing agreement with repeated measures for random observers. Stat Med. 2011 Dec 30;30(30):3546–59.
Chen, Chia-Cheng, and Huiman X. Barnhart. “Assessing agreement with repeated measures for random observers.Stat Med, vol. 30, no. 30, Dec. 2011, pp. 3546–59. Pubmed, doi:10.1002/sim.4353.
Chen C-C, Barnhart HX. Assessing agreement with repeated measures for random observers. Stat Med. 2011 Dec 30;30(30):3546–3559.
Journal cover image

Published In

Stat Med

DOI

EISSN

1097-0258

Publication Date

December 30, 2011

Volume

30

Issue

30

Start / End Page

3546 / 3559

Location

England

Related Subject Headings

  • Time Factors
  • Statistics & Probability
  • Spine
  • Random Allocation
  • Radiography
  • Observer Variation
  • Monte Carlo Method
  • Humans
  • Echocardiography
  • Computer Simulation