Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2019 Nov 12;47(7):1315-1324.
doi: 10.1080/02664763.2019.1686133. eCollection 2020.

Application of measurement error models to correct for systematic differences among readers and vendors in echocardiography measurements: the CARDIA study

Aisha Betoko  1 , Chike Nwabuo  2 , Bharath Ambale Venkatesh  2 , Erin P Ricketts  2 , Sejong Bae  3 , Colin Wu  4 , Samuel S Gidding  5 , Kiang Liu  6 , João A C Lima  2 , Christopher Cox  1
Affiliations

Application of measurement error models to correct for systematic differences among readers and vendors in echocardiography measurements: the CARDIA study

Aisha Betoko et al. J Appl Stat. .

Erratum in

  • Correction.
    [No authors listed] [No authors listed] J Appl Stat. 2019 Dec 19;47(7):i. doi: 10.1080/02664763.2019.1706803. eCollection 2020. J Appl Stat. 2019. PMID: 35709089 Free PMC article.

Abstract

We illustrate the application of linear measurement error models to calibrate echocardiography measurements acquired 20 years apart in the CARDIA study. Of 4242 echocardiograms acquired at Year-5 (1990-1991), 36% were reread 20 years later. Left ventricular (LV) mass and 8 other measurements were assessed. A machine reproducibility study including 96 additional patients also compared Year-5 and Year-25 equipment. A linear measurement error model was developed to calibrate the original Year-5 measurements, incorporating the additional Year-5 reread and machine reproducibility study data, and adjusting for differences among readers and machines. Median (quartiles) of original Year-5 LV mass was 144.4 (117.6, 174.2) g before and 129.9 (103.8, 158.6) g, after calibration. The correlation between original and calibrated LV mass was 0.989 (95% confidence interval: 0.988, 0.990). The original and calibrated measurements had similar distributions. Additional comparisons of original and calibrated data supported the use of the model. We conclude that systematic differences among readers and machines have been accounted for, and that the calibrated Year-5 measurements can be used in future longitudinal comparisons. It is hoped that this paper will encourage the wider application of measurement error models.

Keywords: Bias; calibration; echocardiography; linear measurement error models; systematic differences.

PubMed Disclaimer

Conflict of interest statement

No potential conflict of interest was reported by the authors.

Figures

Figure 1.
Figure 1.
Panel A shows a scatterplot of the Acuson (y-axis) and corresponding Toshiba (x-axis) measurements from the machine reproducibility substudy, together with the line of identity. Panel B shows percentile boxplots of the distributions of original and calibrated Year-5 Acuson measurements for the three sets of Year-5 data. Panel C is a scatterplot of the Year-5 original Acuson vs. Year-5 reread Acuson measurements from the reread substudy. Panel D is a scatterplot of the calibrated Year-5 original Acuson vs. calibrated Year-5 reread Acuson measurements from the reread substudy. Both panels include the line of identity. Panel E is a scatterplot of the Year-5 original Acuson vs. Year-5 calibrated original Acuson measurements from the reread substudy. Panel F is a scatterplot of the original Year-5 Acuson vs. Year-5 calibrated original Acuson measurements for the remaining Year-5 reads.
See this image and copyright information in PMC

References

    1. Brownlee K.A., Statistical Theory and Methodology in Science and Engineering, Wiley, New York, 1965.
    1. Carroll R.J., and Ruppert D., Transformation and Weighting in Regression, Chapman and Hall/CRC, London, 1988.
    1. Carroll R.J., Ruppert D., Stefanski L.A., and Crainiceanu C.M., Measurement Error in Nonlinear Models: A Modern Perspective, 2nd ed., Chapman and Hall/CRC, London, 2006.
    1. Dunn G., Statistical Evaluation of Measurement Errors, 2nd ed., Wiley, New York, 2004.
    1. Friedman G.D., Cutter G.R., Donahue R.P., Hughes G.H., Hulley S.B., Jacobs Jr D.R., Liu K., and Savage P.J., CARDIA: study design, recruitment, and some characteristics of the examined subjects. J. Clin. Epidemiol 41 (1988), pp. 1105–1116. doi: 10.1016/0895-4356(88)90080-7 - DOI - PubMed