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Shieh, G. The adequacy of Bland-Altman approximate confidence intervals for compliance limits. BMC Med Res Methodol 18, 45 (2018). doi.org/10.1186/s12874-018-0505-y limits of conformity assess the interval within which some of the differences between the measurements fall. Carkeet A. Exact parametric confidence intervals for Bland Altman compliance limits. Optom Vis Sci. 2015;92:e71-80. Bland Altman diagrams are widely used to assess the concordance between two different instruments or two measurement techniques. Bland Altman diagrams identify systematic differences between measurements (i.e.

solid distortions) and potential outliers. The mean difference is the estimated distortion, and the SD of differences measures random variations around this mean. If the mean value of the difference is significantly 0 based on a test of 1 sample t, this indicates the existence of a solid distortion. If there is a consistent distortion, it can be adjusted by subtracting the mean difference from the new method. It is customary to calculate 95% of match limits for each comparison (mean difference ± 1.96 standard deviation of the difference), which tells us to what extent measurements with two methods were more likely for most individuals. If the differences in the mean ± SD 1.96 are not clinically important, the two methods can be used interchangeably. The 95% compliance limits can be unreliable estimates of population parameters, especially for small sample sizes, so it is important, when comparing methods or assessing repeatability, to calculate confidence intervals for 95% limits. This can be done by the approximate method of Bland and Altman [3] or by more precise methods. [6] A Bland Altman diagram (differential diagram) in analytical chemistry or biomedicine is a data scrapping method used to analyze the concordance between two different ass. It is identical to a mean tukey difference graph,[1] the name by which it is known in other fields, but was popularized in the medical statistics of J.

Martin Bland and Douglas G. Altman. [2] [3] Specifically, the method provides an estimate of the range within which some of the differences between the measurements fall. It is used if you are interested in trying a new measurement technique or method that has advantages over what is currently in use. It could be easier to use or less expensive. However, inconclusive data on its reliability may also be available. Although the practical implementation of the exact interval at Carkeet [19] is well represented, the explanation of the differences between the exact and approximate methods has mainly focused on the relative dimensions and symmetric/asymmetric limits of the resulting confidence limits. On the other hand, Bland-Altman breakpoints are generally considered to be a pair of measurement-related concordances in comparative method studies. . .

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