Contact and support
Need help, have a question, or want to contact the ResearchHub team?
© 2026 ResearchHub. Built for responsible scholarly connection.
Privacy-aware community infrastructureResearch graph
References from Visualising and quantifying the usefulness of new predictors stratified by outcome class: The U-smile method. Local targets link to admitted publications; unresolved targets remain external evidence.
Machine learning-driven credit risk: a systemic review
10.1007/s00521-022-07472-2 · 2022 · External reference
Derivation and evaluation of landslide-triggering thresholds by a Monte Carlo approach
10.5194/hess-18-4913-2014 · 2014 · External reference
The Finley Affair: A Signal Event in the History of Forecast Verification
10.1175/1520-0434(1996)011<0003:tfaase>2.0.co;2 · 1996 · External reference
Significant wave height record extension by neural networks and reanalysis wind data
10.1016/j.ocemod.2015.08.002 · 2015 · External reference
Comparison of the predicted and observed secondary structure of T4 phage lysozyme
10.1016/0005-2795(75)90109-9 · 1975 · External reference
10.1145/3383219.3383232
10.1145/3383219.3383232 · External reference
On the performance of Matthews correlation coefficient (MCC) for imbalanced dataset
10.1016/j.patrec.2020.03.030 · 2020 · External reference
Fisher score and Matthews correlation coefficient-based feature subset selection for heart disease diagnosis using support vector machines
10.1007/s10115-018-1185-y · 2019 · External reference
Metrics reloaded: Recommendations for image analysis validation
10.1038/s41592-023-02151-z · 2024 · External reference
10.23919/contel.2017.8000052
10.23919/contel.2017.8000052 · External reference
Social media data analysis to predict mental state of users using machine learning techniques
10.4103/jehp.jehp_446_20 · 2021 · External reference
One statistical test is sufficient for assessing new predictive markers
10.1186/1471-2288-11-13 · 2011 · External reference
The Framingham Heart Study and the epidemiology of cardiovascular disease: a historical perspective
10.1016/s0140-6736(13)61752-3 · 2014 · External reference
High-sensitivity C-reactive protein and cardiovascular disease
10.1373/clinchem.2008.120527 · 2009 · External reference
Nontraditional risk factors in cardiovascular disease risk assessment: Updated evidence report and systematic review for the US preventive services task force
10.1001/jama.2018.4242 · 2018 · External reference
Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures
10.1097/ede.0b013e3181c30fb2 · 2010 · External reference
10.1007/978-3-030-16399-0
10.1007/978-3-030-16399-0 · 2019 · External reference
When Is a New Prediction Marker Useful? A Consideration of Lipoprotein-Associated Phospholipase A and C-Reactive Protein for Stroke Risk
10.1001/archinte.165.21.2454 · 2005 · External reference
Regression Shrinkage and Selection via the Lasso
10.1111/j.2517-6161.1996.tb02080.x · 1996 · External reference
Predictive accuracy of risk factors and markers: a simulation study of the effect of novel markers on different performance measures for logistic regression models
10.1002/sim.5598 · 2013 · External reference
Use and misuse of the receiver operating characteristic curve in risk prediction
10.1161/circulationaha.106.672402 · 2007 · External reference
Interpreting Incremental Value of Markers Added to Risk Prediction Models
10.1093/aje/kws207 · 2012 · External reference
10.1109/icdm.2012.115
10.1109/icdm.2012.115 · External reference
10.1007/978-3-030-88942-5_19
10.1007/978-3-030-88942-5_19 · 2021 · External reference
Evaluating the added predictive ability of a new marker: From area under the ROC curve to reclassification and beyond
10.1002/sim.2929 · 2008 · External reference
Verification of forecasts expressed in terms of probability
10.1175/1520-0493(1950)078<0001:vofeit>2.0.co;2 · 1950 · External reference
Net Reclassification Indices for Evaluating Risk Prediction Instruments: A Critical Review
10.1097/ede.0000000000000018 · 2014 · External reference
A note on the evaluation of novel biomarkers: do not rely on integrated discrimination improvement and net reclassification index
10.1002/sim.5804 · 2014 · External reference
Net Risk Reclassification P Values: Valid or Misleading?
2014 · External reference
The Net Reclassification Index (NRI): A Misleading Measure of Prediction Improvement Even with Independent Test Data Sets
10.1007/s12561-014-9118-0 · 2015 · External reference
Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers
10.1002/sim.4085 · 2011 · External reference
Unresolved reference
External reference
International application of a new probability algorithm for the diagnosis of coronary artery disease
10.1016/0002-9149(89)90524-9 · 1989 · External reference
Unresolved reference
External reference
General cardiovascular risk profile for use in primary care: The Framingham Heart Study
10.1161/circulationaha.107.699579 · 2008 · External reference
Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach
10.2307/2531595 · 1988 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Collinearity diagnostics of binary logistic regression model
10.1080/09720502.2010.10700699 · 2010 · External reference
Detecting Multicollinearity in Regression Analysis
10.12691/ajams-8-2-1 · 2020 · External reference
Comparative Analysis of Ridge, Bridge and Lasso Regression Models In the Presence of Multicollinearity
10.54117/iimj.v3i1.5 · 2023 · External reference
Scoring Rules for Forecast Verification
10.1175/2009mwr2945.1 · 2010 · External reference
The Brier score does not evaluate the clinical utility of diagnostic tests or prediction models
10.1186/s41512-017-0020-3 · 2017 · External reference
Performance targets and the Brier score
10.1002/met.21 · 2007 · External reference
Statistical methods for validation of predictive models
10.1007/s12350-022-02994-7 · 2022 · External reference
Unresolved reference
External reference
A relationship between the incremental values of area under the ROC curve and of area under the precision-recall curve
10.1186/s41512-021-00102-w · 2021 · External reference
Review of Classification Methods on Unbalanced Data Sets
10.1109/access.2021.3074243 · 2021 · External reference
An Experimental Investigation of Calibration Techniques for Imbalanced Data
10.1109/access.2020.3008150 · 2020 · External reference
A simple, step-by-step guide to interpreting decision curve analysis
10.1186/s41512-019-0064-7 · 2019 · External reference
Validation of clinical prediction models: what does the “calibration slope” really measure?
10.1016/j.jclinepi.2019.09.016 · 2020 · External reference
Evaluation: From Precision, Recall and F-Measure to ROC, Informedness, Markedness and Correlation
2011 · External reference
Cohen’s Kappa Coefficient as a Measure to Assess Classification Improvement following the Addition of a New Marker to a Regression Model
10.3390/ijerph191610213 · 2022 · External reference
