Literature DB >> 20306289

The importance of using the correct bounds on the Bland-Altman limits of agreement when multiple measurements are recorded per patient.

Cody Hamilton1, Steven Lewis.   

Abstract

The limits of agreement originally derived by Bland and Altman (Lancet i:307-310, 1986) are the most commonly used method for investigating statistical agreement between two medical devices. Bland and Altman describe a confidence interval for these limits that should always accompany the limits themselves. However, this interval presumes that the recorded differences between the two devices in question are independent. This is a reasonable assumption when only one measurement is recorded per device per patient. Bland and Altman (StatMethods Med Res 8:135-160, 1999) subsequently derived bounds for the more general case where multiple observations are recorded within each patient. Unfortunately, in practice, the bounds assuming independence are typically reported when in fact the repeated measures bounds are more appropriate. This communication illustrates the dangers of using the "original" (independence-based) bounds derived in Bland and Altman (Lancet i:307-310, 1986) in the presence of repeated measures per patient.

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Year:  2010        PMID: 20306289     DOI: 10.1007/s10877-010-9230-8

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   2.502


  6 in total

Review 1.  Measuring agreement in method comparison studies.

Authors:  J M Bland; D G Altman
Journal:  Stat Methods Med Res       Date:  1999-06       Impact factor: 3.021

2.  Using Bland-Altman to assess agreement between two medical devices--don't forget the confidence intervals!

Authors:  Cody Hamilton; James Stamey
Journal:  J Clin Monit Comput       Date:  2007-10-02       Impact factor: 2.502

Review 3.  An overview on assessing agreement with continuous measurements.

Authors:  Huiman X Barnhart; Michael J Haber; Lawrence I Lin
Journal:  J Biopharm Stat       Date:  2007       Impact factor: 1.051

4.  Agreement between methods of measurement with multiple observations per individual.

Authors:  J Martin Bland; Douglas G Altman
Journal:  J Biopharm Stat       Date:  2007       Impact factor: 1.051

5.  Using a prediction approach to assess agreement between two continuous measurements.

Authors:  Cody Hamilton; James D Stamey
Journal:  J Clin Monit Comput       Date:  2009-08-22       Impact factor: 2.502

6.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

  6 in total
  6 in total

1.  Accuracy and precision of non-invasive cardiac output monitoring by electrical cardiometry: a systematic review and meta-analysis.

Authors:  M Sanders; S Servaas; C Slagt
Journal:  J Clin Monit Comput       Date:  2019-06-07       Impact factor: 2.502

2.  Improvements in the application and reporting of advanced Bland-Altman methods of comparison.

Authors:  Erik Olofsen; Albert Dahan; Gerard Borsboom; Gordon Drummond
Journal:  J Clin Monit Comput       Date:  2014-05-08       Impact factor: 2.502

3.  Noninvasively Measured Hemoglobin Concentration Reflects Arterial Hemoglobin Concentration Before but Not After Cardiopulmonary Bypass in Patients Undergoing Coronary Artery or Valve Surgery.

Authors:  Matthias L Riess; Paul S Pagel
Journal:  J Cardiothorac Vasc Anesth       Date:  2016-03-24       Impact factor: 2.628

4.  Measurement variability of the bulbar conjunctival microvasculature in healthy subjects using functional slit lamp biomicroscopy (FSLB).

Authors:  Zhe Xu; Hong Jiang; Aizhu Tao; Shuangqing Wu; Wentao Yan; Jin Yuan; Che Liu; Delia Cabrera DeBuc; Jianhua Wang
Journal:  Microvasc Res       Date:  2015-06-16       Impact factor: 3.514

5.  The Impact of Flap Creation Methods for Sub-Bowman's Keratomileusis (SBK) on the Central Thickness of Bowman's Layer.

Authors:  Zhe Xu; Meixiao Shen; Liang Hu; Xiran Zhuang; Mei Peng; Di Hu; Jing Liu; Jianhua Wang; Jia Qu; Fan Lu
Journal:  PLoS One       Date:  2015-05-04       Impact factor: 3.240

6.  Application of Mixed Effects Limits of Agreement in the Presence of Multiple Sources of Variability: Exemplar from the Comparison of Several Devices to Measure Respiratory Rate in COPD Patients.

Authors:  Richard A Parker; Christopher J Weir; Noah Rubio; Roberto Rabinovich; Hilary Pinnock; Janet Hanley; Lucy McCloughan; Ellen M Drost; Leandro C Mantoani; William MacNee; Brian McKinstry
Journal:  PLoS One       Date:  2016-12-14       Impact factor: 3.240

  6 in total

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