<p>Mean squared errors and squared correlation coefficients produced by regression models.</p
Regression analysis results of error-in-variable models using color and GSMCC indicators (m = 48).</...
Model fit statistics (R-squared, AIC and BIC) and mean squared prediction error from 10-fold cross v...
Regression models for log (CD4) counts (effects expressed as geometric mean ratios).</p
Mean squared error and loading plots relating to the partial least squares regression analysis.</p
<p>Model coefficients derived through regression analysis of primary experimental data.</p
<p>Estimated regression coefficients (standard errors) for covariates with parametric effects in all...
Regression coefficients and significance levels for the multiple regression models for undesirable e...
Estimated coefficients and their statistical significance for the multivariate logistic regression m...
<p>Different regression methods and their correlation coefficients averaged on the test sets.</p
<p>Average of root mean squared errors of 99 regression models and average of running timings (unit:...
Regression coefficients and significance levels for the multiple regression models for desirable eve...
<p>Estimated regression coefficients and odds ratios for variables in model M4.</p
Regression model Input variables and resulting regression coefficients by cluster for the calibratio...
<p>*SE: standard error</p><p>Regression coefficients for the univariate and multiple variable model....
<p>The model inputs and output in this experiment with their correlation coefficient and p-values.</...
Regression analysis results of error-in-variable models using color and GSMCC indicators (m = 48).</...
Model fit statistics (R-squared, AIC and BIC) and mean squared prediction error from 10-fold cross v...
Regression models for log (CD4) counts (effects expressed as geometric mean ratios).</p
Mean squared error and loading plots relating to the partial least squares regression analysis.</p
<p>Model coefficients derived through regression analysis of primary experimental data.</p
<p>Estimated regression coefficients (standard errors) for covariates with parametric effects in all...
Regression coefficients and significance levels for the multiple regression models for undesirable e...
Estimated coefficients and their statistical significance for the multivariate logistic regression m...
<p>Different regression methods and their correlation coefficients averaged on the test sets.</p
<p>Average of root mean squared errors of 99 regression models and average of running timings (unit:...
Regression coefficients and significance levels for the multiple regression models for desirable eve...
<p>Estimated regression coefficients and odds ratios for variables in model M4.</p
Regression model Input variables and resulting regression coefficients by cluster for the calibratio...
<p>*SE: standard error</p><p>Regression coefficients for the univariate and multiple variable model....
<p>The model inputs and output in this experiment with their correlation coefficient and p-values.</...
Regression analysis results of error-in-variable models using color and GSMCC indicators (m = 48).</...
Model fit statistics (R-squared, AIC and BIC) and mean squared prediction error from 10-fold cross v...
Regression models for log (CD4) counts (effects expressed as geometric mean ratios).</p
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