# ROC analysis

## ROC analysis

## ROC curve analysis

<https://www.medcalc.org/manual/roc-curves.php>

## ROC curve analysis

<https://www.medcalc.org/manual/roc-curves.php>

## ROC curve analysis

<https://www.medcalc.org/manual/roc-curves.php>

## ROC curve analysis

<https://www.medcalc.org/manual/roc-curves.php>

## MedCalc

<https://www.medcalc.org/manual/roc-curves.php>

* ROC curve analysis

<https://www.medcalc.org/manual/roc-curves.php>

* Interactive Dot Diagram

<https://www.medcalc.org/manual/interactive_dot_diagram.php>

* Positive Predictive Value, Negative Predictive Value

<https://www.medcalc.org/manual/roc_curve_analysis_predictive_values.php>

* Comparison of ROC curves

<https://www.medcalc.org/manual/comparison_of_roc_curves.php>

* multiROC

<https://cran.rstudio.com/web/packages/multiROC/vignettes/my-vignette.html>

<https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/One_ROC_Curve_and_Cutoff_Analysis.pdf>

<http://www.sigmaplot.co.uk/products/sigmaplot/ROC_Curves_Analysis.pdf>

<http://www.medicalbiostatistics.com/roccurve.pdf>

* Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curves and Likelihood Ratios: Communicating the Performance of Diagnostic Tests Clin Biochem Rev. 2008 Aug; 29(Suppl 1): S83–S87. PMCID: PMC2556590

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556590/>

* easyROC: a web-tool for ROC curve analysis (ver. 1.3)

<http://www.biosoft.hacettepe.edu.tr/easyROC/>

* Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681096/#!po=54.1667>

* ROC Analysis in Biomarker Combination with Covariate Adjustment

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3682803/>

* ROC curve analysis

<https://www.medcalc.org/manual/roc-curves.php>

* Interactive Dot Diagram

<https://www.medcalc.org/manual/interactive_dot_diagram.php>

* Positive Predictive Value, Negative Predictive Value

<https://www.medcalc.org/manual/roc_curve_analysis_predictive_values.php>

* Comparison of ROC curves

<https://www.medcalc.org/manual/comparison_of_roc_curves.php>

* multiROC

<https://cran.rstudio.com/web/packages/multiROC/vignettes/my-vignette.html>

<https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/One_ROC_Curve_and_Cutoff_Analysis.pdf>

<http://www.sigmaplot.co.uk/products/sigmaplot/ROC_Curves_Analysis.pdf>

<http://www.medicalbiostatistics.com/roccurve.pdf>

* Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curves and Likelihood Ratios: Communicating the Performance of Diagnostic Tests Clin Biochem Rev. 2008 Aug; 29(Suppl 1): S83–S87. PMCID: PMC2556590

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556590/>

* easyROC: a web-tool for ROC curve analysis (ver. 1.3)

<http://www.biosoft.hacettepe.edu.tr/easyROC/>

* Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681096/#!po=54.1667>

* ROC Analysis in Biomarker Combination with Covariate Adjustment

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3682803/>

* ROC curve analysis

<https://www.medcalc.org/manual/roc-curves.php>

* Interactive Dot Diagram

<https://www.medcalc.org/manual/interactive_dot_diagram.php>

* Positive Predictive Value, Negative Predictive Value

<https://www.medcalc.org/manual/roc_curve_analysis_predictive_values.php>

* Comparison of ROC curves

<https://www.medcalc.org/manual/comparison_of_roc_curves.php>

* multiROC

<https://cran.rstudio.com/web/packages/multiROC/vignettes/my-vignette.html>

<https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/One_ROC_Curve_and_Cutoff_Analysis.pdf>

<http://www.sigmaplot.co.uk/products/sigmaplot/ROC_Curves_Analysis.pdf>

<http://www.medicalbiostatistics.com/roccurve.pdf>

* Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curves and Likelihood Ratios: Communicating the Performance of Diagnostic Tests Clin Biochem Rev. 2008 Aug; 29(Suppl 1): S83–S87. PMCID: PMC2556590

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556590/>

* easyROC: a web-tool for ROC curve analysis (ver. 1.3)

<http://www.biosoft.hacettepe.edu.tr/easyROC/>

* Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681096/#!po=54.1667>

* ROC Analysis in Biomarker Combination with Covariate Adjustment

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3682803/>

* ROC curve analysis

<https://www.medcalc.org/manual/roc-curves.php>

* Interactive Dot Diagram

<https://www.medcalc.org/manual/interactive_dot_diagram.php>

* Positive Predictive Value, Negative Predictive Value

<https://www.medcalc.org/manual/roc_curve_analysis_predictive_values.php>

* Comparison of ROC curves

<https://www.medcalc.org/manual/comparison_of_roc_curves.php>

* multiROC

<https://cran.rstudio.com/web/packages/multiROC/vignettes/my-vignette.html>

<https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/One_ROC_Curve_and_Cutoff_Analysis.pdf>

<http://www.sigmaplot.co.uk/products/sigmaplot/ROC_Curves_Analysis.pdf>

<http://www.medicalbiostatistics.com/roccurve.pdf>

* Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curves and Likelihood Ratios: Communicating the Performance of Diagnostic Tests Clin Biochem Rev. 2008 Aug; 29(Suppl 1): S83–S87. PMCID: PMC2556590

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556590/>

* easyROC: a web-tool for ROC curve analysis (ver. 1.3)

<http://www.biosoft.hacettepe.edu.tr/easyROC/>

* Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681096/#!po=54.1667>

* ROC Analysis in Biomarker Combination with Covariate Adjustment

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3682803/>

## ROC analysis

* ROC curve analysis

<https://www.medcalc.org/manual/roc-curves.php>

* Interactive Dot Diagram

<https://www.medcalc.org/manual/interactive_dot_diagram.php>

* Positive Predictive Value, Negative Predictive Value

<https://www.medcalc.org/manual/roc_curve_analysis_predictive_values.php>

* Comparison of ROC curves

<https://www.medcalc.org/manual/comparison_of_roc_curves.php>

* multiROC

<https://cran.rstudio.com/web/packages/multiROC/vignettes/my-vignette.html>

<https://ncss-wpengine.netdna-ssl.com/wp-content/themes/ncss/pdf/Procedures/NCSS/One_ROC_Curve_and_Cutoff_Analysis.pdf>

<http://www.sigmaplot.co.uk/products/sigmaplot/ROC_Curves_Analysis.pdf>

<http://www.medicalbiostatistics.com/roccurve.pdf>

* Sensitivity, Specificity, Receiver-Operating Characteristic (ROC) Curves and Likelihood Ratios: Communicating the Performance of Diagnostic Tests Clin Biochem Rev. 2008 Aug; 29(Suppl 1): S83–S87. PMCID: PMC2556590

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2556590/>

* easyROC: a web-tool for ROC curve analysis (ver. 1.3)

<http://www.biosoft.hacettepe.edu.tr/easyROC/>

* Combining Classifiers Using Their Receiver Operating Characteristics and Maximum Likelihood Estimation

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3681096/#!po=54.1667>

* ROC Analysis in Biomarker Combination with Covariate Adjustment

<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3682803/>