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These investigators reported a method error of 2.5° and 2.3° on the sagittal and frontal planes, respectively [18].
Nineteen studies [17 24, 27 35, 38, 41] included a method error analysis, and only one had blind outcome assessment [17].
With the custom 3D dental analysis presented in the current study, we found a method error that ranged from 1.0° to 2.0° for the same teeth.
One study [23] reported that a method error analysis was performed, but no data were shown; thus, the point was not assigned.
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However, in addition to the fact that 2D cephalometry is a two-dimensional representation of three-dimensional structures, cephalometric measurements have an inherent method error that varies depending on the radiographic projection, measuring system, type of landmark, and observer.
Moreover, the two studies [23, 30] with low quality also lacked an internal method error analysis.
For the average error, both methods give similar results at first, until a point when the Delaunay method error stays smaller compared to the Structured error.
The reader is referred to Forbes et al. (2009) for a detailed description of the method, error analysis, and validation.
This section presents a method for error degree estimation in numerical weather prediction using MKDA-based ordinal regression.
However, urinary CrCl had an unacceptably low repeatability, with a within-method error of 55%.
In an attempt to clarify the criteria for acceptable agreement between two methods, Critchley and Critchley suggested that acceptance of a new method should relay on a between-method error of up to 30% [ 21].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com