<p>y-axis is for FA values while x-axis is for age. a) Regression with negative slopes; b) Regression with zero slopes; c) Regression using quadratic models. P values in a) and b) are for testing the hypothesis whether slope = 0; P values in c) are for testing the hypothesis whether linear model is better than quadratic model; PK in c) represents peak positions of the quadratic fit.</p
<p>Bold underlined entries highlight slope values that significantly differ from zero. The three rig...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
<p>Dot plots and linear regression for Benton score against the main explaining variables: age, educ...
<p>y-axis is for RD values while x-axis is for age. a) Regression using linear models; b) Regression...
<p>The quadratic regression of the AMH mean values is more useful to illustrate the AMH decline with...
<p>(A) shows fitting result when using grand-averaged cortical thickness as the dependent variable i...
<p>Plots of residuals against known ages (left, a) and of known against estimated ages (right, b) us...
Regression slopes of the average age (in years of age per year), the difference (Δ), p-values (one-s...
<p>Scatterplots of simple linear regression between age and mean mRNFL, GCL, IPL, INL, OPL, ONL, PR ...
Scatter plot visualizing the relationship between changes of BMI percentiles (x-axis) and individual...
<p>(A, B) Normalized histograms of T2 and ADC mean values for young (<45 years) and elderly (>45 yea...
All models adjust for proportion of population ≥ 65 yrs of age. Model 1 also adjusts for proportion ...
<p>Regression models of unadjusted and adjusted age-adjusted z scores by study arm.</p
<p>Quadratic (continuous lines) and linear (dashed lines) regressions for predicting percent of dent...
<p>(a) Perceived age vs. physical age before (pre-adapt: black circles) or after adapting to young (...
<p>Bold underlined entries highlight slope values that significantly differ from zero. The three rig...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
<p>Dot plots and linear regression for Benton score against the main explaining variables: age, educ...
<p>y-axis is for RD values while x-axis is for age. a) Regression using linear models; b) Regression...
<p>The quadratic regression of the AMH mean values is more useful to illustrate the AMH decline with...
<p>(A) shows fitting result when using grand-averaged cortical thickness as the dependent variable i...
<p>Plots of residuals against known ages (left, a) and of known against estimated ages (right, b) us...
Regression slopes of the average age (in years of age per year), the difference (Δ), p-values (one-s...
<p>Scatterplots of simple linear regression between age and mean mRNFL, GCL, IPL, INL, OPL, ONL, PR ...
Scatter plot visualizing the relationship between changes of BMI percentiles (x-axis) and individual...
<p>(A, B) Normalized histograms of T2 and ADC mean values for young (<45 years) and elderly (>45 yea...
All models adjust for proportion of population ≥ 65 yrs of age. Model 1 also adjusts for proportion ...
<p>Regression models of unadjusted and adjusted age-adjusted z scores by study arm.</p
<p>Quadratic (continuous lines) and linear (dashed lines) regressions for predicting percent of dent...
<p>(a) Perceived age vs. physical age before (pre-adapt: black circles) or after adapting to young (...
<p>Bold underlined entries highlight slope values that significantly differ from zero. The three rig...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
<p>Dot plots and linear regression for Benton score against the main explaining variables: age, educ...