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      Repeatability of a new swept-source optical coherence tomographer and agreement with other three optical biometers

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          STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT

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            Forming inferences about some intraclass correlation coefficients.

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              Power vectors: an application of Fourier analysis to the description and statistical analysis of refractive error.

              The description of sphero-cylinder lenses is approached from the viewpoint of Fourier analysis of the power profile. It is shown that the familiar sine-squared law leads naturally to a Fourier series representation with exactly three Fourier coefficients, representing the natural parameters of a thin lens. The constant term corresponds to the mean spherical equivalent (MSE) power, whereas the amplitude and phase of the harmonic correspond to the power and axis of a Jackson cross-cylinder (JCC) lens, respectively. Expressing the Fourier series in rectangular form leads to the representation of an arbitrary sphero-cylinder lens as the sum of a spherical lens and two cross-cylinders, one at axis 0 degree and the other at axis 45 degrees. The power of these three component lenses may be interpreted as (x,y,z) coordinates of a vector representation of the power profile. Advantages of this power vector representation of a sphero-cylinder lens for numerical and graphical analysis of optometric data are described for problems involving lens combinations, comparison of different lenses, and the statistical distribution of refractive errors.
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                Author and article information

                Journal
                Graefe's Archive for Clinical and Experimental Ophthalmology
                Graefes Arch Clin Exp Ophthalmol
                Springer Science and Business Media LLC
                0721-832X
                1435-702X
                July 2022
                February 16 2022
                July 2022
                : 260
                : 7
                : 2271-2281
                Article
                10.1007/s00417-022-05579-9
                35171331
                ab357e87-6dc3-4388-a2b0-16b4df5258bb
                © 2022

                https://www.springer.com/tdm

                https://www.springer.com/tdm

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