Journal of University of Chinese Academy of Sciences >
Juvenile myopia study using modern variable selection methods
Received date: 2014-09-25
Revised date: 2015-03-16
Online published: 2015-11-15
In this work we used some variable-selection techniques to find out the relevant factors that cause adolescent myopia, and established probabilistic models for myopia prediction. The research is based on a medical dataset consisting of two parts: medical measurement data of the youths and data on daily living habits obtained by questionnaire survey. We used some modern variable selection methods and the ROC curve to evaluate different modes. The results show that gender, axial length, corneal curvature, weekday sleeping time, distance vision without glasses, and remote adjustment reaction have important influences on adolescent myopia.
Key words： variable selection; classical logistic regression; Lasso; MCP; ROC curve
HAI Bao , LI Shiming , LIU Luoru , SHEN Liyong , ZHANG Sanguo , LI Siyuan , LI He , KANG Mengtian , SUN Yunyun , MENG Bo , ZHANG Qingzhao . Juvenile myopia study using modern variable selection methods[J]. Journal of University of Chinese Academy of Sciences, 2015 , 32(6) : 728 -734 . DOI: 10.7523/j.issn.2095-6134.2015.06.002
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