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Statistical Analysis Of The Relationship Between The Pupil Morphology And Age In Young Adults

Posted on:2022-08-18Degree:MasterType:Thesis
Country:ChinaCandidate:Y X LiuFull Text:PDF
GTID:2480306527952389Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
The pupil is located in the center of the iris of the eye,playing a vital role in the quality of human vision.Studying the pattern of pupil morphology with age can help ophthalmologists better carry out corneal-specific treatment,which is of great practical significance for improving the clinical treatment effect of visual correction and reducing the incidence of complications.Based on a large sample of cross-sectional data,this paper studies the relationship between pupil diameter and pupil center position with age.The paper first analyzes the distribution of pupil diameter and center position with age,and verifies the correlation and difference of distribution between left and right eyes.Then the relationship between pupil diameter,center position and age is fitted,where the linear-angle regression is used for polar angle and kernel regression estimation,natural cubic spline,and RKHS cubic spline are for diameter and polar diameter,with left eye and right eye estimated separately.The performances of the methods mentioned above are also compared..In addition,the curves for both eyes are fitted jointly based on the cubic spline theory in the RKHS,and the performance of function-by-function and joint estimation are compared.The main results on the relationship between pupils in the youth population through our analysis are as follows: the pupil diameter reaches its peak at around 23 years old,and then decreases with age;the pupil center of the human eye is located above the corneal vertex,and as the age increases,the pupil centers of both eyes move to the temporal side respectively.In addition,the joint estimation has better performance than function-by-function estimation,with narrower 95% confidence interval of curves.
Keywords/Search Tags:pupil, directional statistics, cubic spline, kernel regression, RKHS
PDF Full Text Request
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