<p>Results are presented for the Gaussian graphical model on log-transformed data (blue), the log-linear Poisson graphical model on power-transformed data (red) and the hierarchical log-normal Poisson model on raw data (black) on multivariate Poisson data (A) and multivariate Poisson data with inflated variance (B). The dotted black lines represent the diagonals.</p
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
The column of the model utilizing only clinical data from our previous study [6] is included for com...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>Results are averaged over 50 datasets for multivariate Poisson data and overdispersed multivariat...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>Results are presented for the log-linear Poisson graphical model without over-dispersion (A) and ...
<p>(<b>A</b>) Erdös-Rényi graphs; (<b>B</b>) scale-free graphs, and (<b>C</b>) small-world graphs. F...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support ve...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>Each plot represents a ROC curve as we vary the global BF threshold for BRVD and BRI, and vary th...
<p>Results are averaged over 30 datasets for multivariate Poisson data and overdispersed multivariat...
<p>The upper and lower green curves correspond to the maximum and minimum ROC curves for the propose...
<p>Each plot represents a ROC curve as we vary the global BF threshold for BRVD and BRI, and vary th...
Model A (blue line) incorporates classical risk factors and five GWAS-identified SNPs, whereas model...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
The column of the model utilizing only clinical data from our previous study [6] is included for com...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...
<p>Results are averaged over 50 datasets for multivariate Poisson data and overdispersed multivariat...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>Results are presented for the log-linear Poisson graphical model without over-dispersion (A) and ...
<p>(<b>A</b>) Erdös-Rényi graphs; (<b>B</b>) scale-free graphs, and (<b>C</b>) small-world graphs. F...
<p>The ROC curves based on three methods/models (TILoR: Blue line; GLM: Red line; random forest: Gre...
LogReg: logistic regression analysis. NB: Naive Bayes classifier. RF: random forest. SVM: support ve...
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
<p>Each plot represents a ROC curve as we vary the global BF threshold for BRVD and BRI, and vary th...
<p>Results are averaged over 30 datasets for multivariate Poisson data and overdispersed multivariat...
<p>The upper and lower green curves correspond to the maximum and minimum ROC curves for the propose...
<p>Each plot represents a ROC curve as we vary the global BF threshold for BRVD and BRI, and vary th...
Model A (blue line) incorporates classical risk factors and five GWAS-identified SNPs, whereas model...
ROC curves for logistic regression models for each outcome, using penalised regression of full paren...
The column of the model utilizing only clinical data from our previous study [6] is included for com...
<p>(A) n<sub>1</sub> = n<sub>2</sub> = 25, ...