Pearson’s correlation coefficients and normalized root mean squared errors of GPR algorithm on CCHF data set with changing training set size (i.e., 2, 4, 6, 8, and 10 years).</p
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
Pearson correlation coefficients between S-score and year with 95% confidence intervals for assistan...
Pearson correlation coefficients between S-score and year with 95% confidence intervals for associat...
GPR was compared against RFR and BRT using a two-sided paired t-test to check whether the predictive...
Pearson’s correlation coefficients of three algorithms on CCHF data set for three prediction scenari...
Normalized root mean squared errors of three algorithms on CCHF data set for three prediction scenar...
<p><i>r</i>, correlation coefficient; β, Regression coefficient; SE, standard error.</p
<p>Good correlation with a correlation coefficient of r = 0.84 (p = 0.0002). The Bland-Altman graph ...
<p>Intra-class correlation coefficient closer to 1 indicates better agreement. Good agreement is see...
<p>Pearson’s correlation coefficients between the quantitative evaluation of COPD and PFT results.</...
Correlation coefficients are abundantly used in the life sciences. Their use can be limited to simpl...
<p>Pearson’s correlation coefficients (r values) among different agronomic traits based on pooled da...
Correlation coefficients are abundantly used in the life sciences. Their use can be limited to simpl...
Pearson correlation coefficients (rs) and p-value (p) of the sum of the calling intensity scores fro...
Pearson correlation coefficients between S-score and year with 95% confidence intervals for full pro...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
Pearson correlation coefficients between S-score and year with 95% confidence intervals for assistan...
Pearson correlation coefficients between S-score and year with 95% confidence intervals for associat...
GPR was compared against RFR and BRT using a two-sided paired t-test to check whether the predictive...
Pearson’s correlation coefficients of three algorithms on CCHF data set for three prediction scenari...
Normalized root mean squared errors of three algorithms on CCHF data set for three prediction scenar...
<p><i>r</i>, correlation coefficient; β, Regression coefficient; SE, standard error.</p
<p>Good correlation with a correlation coefficient of r = 0.84 (p = 0.0002). The Bland-Altman graph ...
<p>Intra-class correlation coefficient closer to 1 indicates better agreement. Good agreement is see...
<p>Pearson’s correlation coefficients between the quantitative evaluation of COPD and PFT results.</...
Correlation coefficients are abundantly used in the life sciences. Their use can be limited to simpl...
<p>Pearson’s correlation coefficients (r values) among different agronomic traits based on pooled da...
Correlation coefficients are abundantly used in the life sciences. Their use can be limited to simpl...
Pearson correlation coefficients (rs) and p-value (p) of the sum of the calling intensity scores fro...
Pearson correlation coefficients between S-score and year with 95% confidence intervals for full pro...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
Pearson correlation coefficients between S-score and year with 95% confidence intervals for assistan...
Pearson correlation coefficients between S-score and year with 95% confidence intervals for associat...