Logistic regression model of factors potentially associated with myopia among minority and Han children adjusting for cluster effects within school (N = 10,037).</p
Bivariable and multivariable logistic regressions of overall factors associated with overall thinnes...
Logistic regression analysis of factors associated with psychosomatic health complaints among studen...
Background: Myopia is the most common refractive error and easily correctable with optical devices. ...
<p>Multiple Logistic Regression Model of Factors Associated with the Prevalence of High Myopia (Defi...
<p>*All potential predictors were included in the multiple regression model.</p><p>CHSQ = Children S...
Effects of various factors on myopia (VA ≤ 6/12 and SE < = -0.5D in at least one eye) in logistic re...
<p>Multiple logistic regression model for risk factors for Impaired colour vision in the study popul...
PURPOSE. To model juvenile-onset myopia progression as a function of race/ethnicity, age, sex, paren...
Logistic regression analysis demonstrates significant variables for visual field defects in open-ang...
Introduction: To investigate the risk factors for myopia progression in primary school children and ...
<p>Logistic regression model of factors associated with obesity among school adolescents in Terengga...
<p>Logistic regression analysis revealing the risk factors of each type of visual field defect.</p
The association of myopia (≤ -0.75 D) with education in separate models in the NHANES 1999–2008.</p
Logistic regression model to identify the risk factors associated with low school readiness.</p
<p>Prevalence of Myopia among Senior High-School Students Stratified by Age, Sex, Ethnicity, Region ...
Bivariable and multivariable logistic regressions of overall factors associated with overall thinnes...
Logistic regression analysis of factors associated with psychosomatic health complaints among studen...
Background: Myopia is the most common refractive error and easily correctable with optical devices. ...
<p>Multiple Logistic Regression Model of Factors Associated with the Prevalence of High Myopia (Defi...
<p>*All potential predictors were included in the multiple regression model.</p><p>CHSQ = Children S...
Effects of various factors on myopia (VA ≤ 6/12 and SE < = -0.5D in at least one eye) in logistic re...
<p>Multiple logistic regression model for risk factors for Impaired colour vision in the study popul...
PURPOSE. To model juvenile-onset myopia progression as a function of race/ethnicity, age, sex, paren...
Logistic regression analysis demonstrates significant variables for visual field defects in open-ang...
Introduction: To investigate the risk factors for myopia progression in primary school children and ...
<p>Logistic regression model of factors associated with obesity among school adolescents in Terengga...
<p>Logistic regression analysis revealing the risk factors of each type of visual field defect.</p
The association of myopia (≤ -0.75 D) with education in separate models in the NHANES 1999–2008.</p
Logistic regression model to identify the risk factors associated with low school readiness.</p
<p>Prevalence of Myopia among Senior High-School Students Stratified by Age, Sex, Ethnicity, Region ...
Bivariable and multivariable logistic regressions of overall factors associated with overall thinnes...
Logistic regression analysis of factors associated with psychosomatic health complaints among studen...
Background: Myopia is the most common refractive error and easily correctable with optical devices. ...