Journal of Guangxi Normal University(Natural Science Edition) ›› 2022, Vol. 40 ›› Issue (1): 125-138.doi: 10.16088/j.issn.1001-6600.2021060916

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Bland-Altman Method for Assessing Agreement of Quantitative Data in Clinical Measurement

FU Meizi, LIN Bingqing*   

  1. School of Mathematics and Statistics, Shenzhen University, Shenzhen Guangdong 518060, China
  • Received:2021-06-09 Revised:2021-07-13 Online:2022-01-25 Published:2022-01-24

Abstract: With the advancement of medical technology, new technologies and new methods continue to emerge. It is particularly important to compare and evaluate the agreement of the measurement results of the old and new methods. Reliable evaluation results of agreement are of great importance to improve the quality of medical services and reduce the waste of medical resources. Currently, there are few studies on the Bland-Altman method of agreement evaluation in clinical measurement in China, and there are many problems in the clinical application of the method. This paper discusses the Bland-Altman evaluation process of agreement in the case of single measurement and repeated measurement, and provides processing methods for different data types and the overall guideline in the hope that this can help medical researchers to choose and use statistical analysis methods properly in clinical data analysis.

Key words: assessing agreement, Bland-Altman method, clinical measurement, quantitative data, medical devices

CLC Number: 

  • R195.1
[1] BLAND J M, ALTMAN D G. Statistical methods for assessing agreement between two methods of clinical measurement[J]. The Lancet, 1986, 327(8476): 307-310. DOI: 10.1016/S0140-6736(86)90837-8.
[2]ZAKI R, BULGIBA A, ISMAIL R, et al. Statistical methods used to test for agreement of medical instruments measuring continuous variables in method comparison studies: a systematic review[J]. PLoS ONE, 2012, 7(5): e37908. DOI: 10.1371/journal.pone.0037908.
[3]LUIZ R R, SZKLO M. More than one statistical strategy to assess agreement of quantitative measurements may usefully be reported[J]. Journal of Clinical Epidemiology, 2005, 58(3): 215-216. DOI: 10.1016/j.jclinepi.2004.07.007.
[4]CAMARA O, SCHNABEL J A, RIDGWAY G R, et al. Accuracy assessment of global and local atrophy measurement techniques with realistic simulated longitudinal Alzheimer’s disease images[J]. NeuroImage, 2008, 42(2): 696-709. DOI: 10.1016/j.neuroimage.2008.04.259.
[5]周宇豪, 许金芳, 贺佳. 诊断试验一致性评价中几种方法的比较及应用[J]. 中国卫生统计, 2011, 28(1): 40-42, 46. DOI: 10.3969/j.issn.1002-3674.2011.01.012.
[6]陈卉. Bland-Altman分析在临床测量方法一致性评价中的应用[J]. 中国卫生统计, 2007, 24(3): 308-309, 315. DOI: 10.3969/j.issn.1002-3674.2007.03.029.
[7]萨建, 刘桂芬. 定量测量结果的一致性评价及Bland-Altman法的应用[J]. 中国卫生统计, 2011, 28(4): 409-411, 413. DOI: 10.3969/j.issn.1002-3674.2011.04.018.
[8]ALTMAN D G, BLAND J M. Measurement in medicine: the analysis of method comparison studies[J]. Journal of the Royal Statistical Society: Series D (The Statistician), 1983, 32(3): 307-317. DOI:10.2307/2987937.
[9]BLAND J M, ALTMAN D G. Comparing methods of measurement: why plotting difference against standard method is misleading[J]. The Lancet, 1995, 346(8982): 1085-1087. DOI: 10.1016/S0140-6736(95)91748-9.
[10]BLAND J M, ALTMAN D G. Measuring agreement in method comparison studies[J]. Statistical Methods in Medical Research, 1999, 8(2): 135-160. DOI: 10.1177/096228029900800204.
[11]BLAND J M, ALTMAN D G. Statistical methods for assessing agreement between two methods of clinical measurement[J]. International Journal of Nursing Studies, 2010, 47(8): 931-936. DOI: 10.1016/j.ijnurstu.2009.10.001.
[12]WOODMAN R J. Bland-Altman beyond the basics: creating confidence with badly behaved data[J]. Clinical and Experimental Pharmacology and Physiology, 2010, 37(2): 141-142. DOI: 10.1111/j.1440-1681.2009.05320.x.
[13]CHHAPOLA V, KANWAL S K, BRAR R. Reporting standards for Bland-Altman agreement analysis in laboratory research: a cross-sectional survey of current practice[J]. Annals of Clinical Biochemistry, 2015, 52(3): 382-386. DOI: 10.1177/0004563214553438.
[14]BLAND J M, ALTMAN D G, WARNER D S. Agreed statistics: measurement method comparison[J]. Anesthesiology, 2012, 116(1): 182-185. DOI: 10.1097/ALN.0b013e31823d7784.
[15] MANTHA S, ROIZEN M F, FLEISHER L A, et al. Comparing methods of clinical measurement: reporting standards for Bland and Altman analysis[J]. Anesthesia & Analgesia, 2000, 90(3): 593-602. DOI:10.1097/00000539-200003000-00018.
[16]DEWITTE K, FIERENS C, STÖCKL D, et al. Application of the Bland-Altman plot for interpretation of method-comparison studies: a critical investigation of its practice[J]. Clinical Chemistry, 2002, 48(5): 799-801. DOI: 10.1093/ clinchem/48.5.799.
[17]闻浩, 陆梦洁, 刘玉秀, 等. 定量测量Bland-Altman一致性评价方法研究及临床应用[J]. 医学研究生学报, 2015, 28(10): 1107-1111. DOI: 10.16571/j.cnki.1008-8199.2015.10.023.
[18]李镒冲, 李晓松. 两种测量方法定量测量结果的一致性评价[J]. 现代预防医学, 2007, 34(17): 3263-3266, 3269. DOI: 10.3969/j.issn.1003-8507.2007.17.025.
[19]王杨, 陈涛, 徐涛, 等. Bland-Altman分析结果散点分布趋势与测量方法变异程度间的关联度分析[J]. 中华疾病控制杂志, 2012, 16(6): 535-538.
[20]GIAVARINA D. Understanding Bland Altman analysis[J]. Biochemia Medica, 2015, 25(2): 141-151. DOI: 10.11613/ BM.2015.015.
[21]ZOU G. Confidence interval estimation for the Bland-Altman limits of agreement with multiple observations per individual[J]. Statistical Methods in Medical Research, 2013, 22(6): 630-642. DOI: 10.1177/0962280211402548.
[22]CARKEET A, GOH Y T. Confidence and coverage for Bland-Altman limits of agreement and their approximate confidence intervals[J]. Statistical Methods in Medical Research, 2018, 27(5): 1559-1574. DOI: 10.1177/0962280216665419.
[23]缪华章, 陈林, 刘玉秀. 定量方法对比研究一致性评价Bland-Altman法LoA的可信区间估计[J]. 中国卫生统计,2014, 31(1): 64-67.
[24]MYLES P S, CUI J. Using the Bland-Altman method to measure agreement with repeated measures[J]. British Journal of Anaesthesia, 2007, 99(3): 309-311. DOI: 10.1093/bja/aem214.
[25]TAFFÉ P. Assessing bias, precision, and agreement in method comparison studies[J]. Statistical Methods in Medical Research, 2020, 29(3): 778-796. DOI: 10.1177/0962280219844535.
[26]GERKE O. Reporting standards for a Bland-Altman agreement analysis: a review of methodological reviews[J]. Diagnostics, 2020, 10(5): 334. DOI: 10.3390/diagnostics10050334.
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