Ben Van Calster

发表

Assessing calibration of multinomial risk prediction models

Sabine Van Huffel, Dirk Timmerman, Yvonne Vergouwe, 2014, Statistics in medicine.

Risk prediction with machine learning and regression methods

Ewout W Steyerberg, Tjeerd van der Ploeg, Ben Van Calster, 2014, Biometrical journal. Biometrische Zeitschrift.

Explaining Support Vector Machines: A Color Based Nomogram

Johan A. K. Suykens, Sabine Van Huffel, Ben Van Calster, 2016, PloS one.

Polytomous diagnosis of ovarian tumors as benign, borderline, primary invasive or metastatic: development and validation of standard and kernel-based risk prediction models

Sabine Van Huffel, Dirk Timmerman, Tom Bourne, 2010, BMC medical research methodology.

Statistics 'versus' machine learning: definitions are interesting (but understanding, methodology and reporting are more important).

Gary S Collins, Ewout W Steyerberg, Jan Y Verbakel, 2019, Journal of clinical epidemiology.

Using Different Data Sets to Test How Well Clinical Prediction Models Work to Predict Patients' Risk of Heart Disease

David van Klaveren, Gaurav Gulati, Ben Van Calster, 2021 .

Hypervolume under ROC manifold for discrete biomarkers with ties

Jialiang Li, Qunqiang Feng, Ben Van Calster, 2021, Journal of Statistical Computation and Simulation.

Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption

Maarten van Smeden, Ben Van Calster, Michael Edlinger, 2021, Statistics in medicine.

Evaluation of Imputation Methods in Ovarian Tumor Diagnostic Models Using Generalized Linear Models and Support Vector Machines

Sabine Van Huffel, Michalis Zervakis, Dirk Timmerman, 2010, Medical decision making : an international journal of the Society for Medical Decision Making.

Machine Learning Compared With Pathologist Assessment.

Maarten van Smeden, Rolf H H Groenwold, Ben Van Calster, 2018, JAMA.

Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests

Ewout W Steyerberg, Andrew J Vickers, Ben Van Calster, 2016, British Medical Journal.

A calibration hierarchy for risk models was defined: from utopia to empirical data.

Yvonne Vergouwe, Michael J Pencina, Ewout W Steyerberg, 2016, Journal of clinical epidemiology.

Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: prospective multicentre diagnostic study

Dirk Timmerman, Tom Bourne, Stefano Guerriero, 2014, BMJ : British Medical Journal.

Pregnancy of unknown location: a consensus statement of nomenclature, definitions, and outcome.

Dirk Timmerman, George Condous, Tom Bourne, 2011, Fertility and sterility.

External Validation of Mathematical Models to Distinguish Between Benign and Malignant Adnexal Tumors: A Multicenter Study by the International Ovarian Tumor Analysis Group

Sabine Van Huffel, Dirk Timmerman, Enrico Ferrazzi, 2007, Clinical Cancer Research.

Clinical information does not improve the performance of mathematical models in predicting the outcome of pregnancies of unknown location.

Sabine Van Huffel, Dirk Timmerman, George Condous, 2007, Fertility and sterility.

Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal

Richard D Riley, Kym I E Snell, Gary S Collins, 2020 .

Assessing the discriminative ability of risk models for more than two outcome categories

Dirk Timmerman, Yvonne Vergouwe, Ewout W. Steyerberg, 2012, European Journal of Epidemiology.

Journal of Quantitative Analysis in Sports The Curse of Scoreless Draws in Soccer : The Relationship with a Team ' s Offensive , Defensive , and Overall Performance

Sabine Van Huffel, Tim Smits, Ben Van Calster, 2011 .

Extending the c‐statistic to nominal polytomous outcomes: the Polytomous Discrimination Index

Sabine Van Huffel, Dirk Timmerman, Yvonne Vergouwe, 2012, Statistics in medicine.

Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis.

Dirk Timmerman, Tom Bourne, Kirsten Van Hoorde, 2014, Human reproduction update.

Consequences of relying on statistical significance: Some illustrations

Gary S Collins, Ewout W Steyerberg, Tim Smits, 2018, European journal of clinical investigation.

The use of serum inhibin A and activin A levels in predicting the outcome of 'pregnancies of unknown location'.

Sabine Van Huffel, Dirk Timmerman, George Condous, 2009, Human reproduction.

Clinical Utility of Risk Models to Refer Patients with Adnexal Masses to Specialized Oncology Care: Multicenter External Validation Using Decision Curve Analysis

Dirk Timmerman, Jan Y Verbakel, Tom Bourne, 2017, Clinical Cancer Research.

Simple dichotomous updating methods improved the validity of polytomous prediction models.

Sabine Van Huffel, Dirk Timmerman, Yvonne Vergouwe, 2013, Journal of clinical epidemiology.

Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

Richard D Riley, Gary S Collins, Maarten van Smeden, 2020, BMJ.

Inclusion of CA-125 does not improve mathematical models developed to distinguish between benign and malignant adnexal tumors.

Sabine Van Huffel, Dirk Timmerman, Ignace Vergote, 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Calibration: the Achilles heel of predictive analytics

Maarten van Smeden, Andrew J. Vickers, Ewout W. Steyerberg, 2019, BMC Medicine.

Defining safe criteria to diagnose miscarriage: prospective observational multicentre study

Dirk Timmerman, Tom Bourne, Ben Van Calster, 2015, BMJ : British Medical Journal.

Integrated discrimination improvement and probability-sensitive AUC variants.

Sabine Van Huffel, Ben Van Calster, 2010, Statistics in medicine.

Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators.

Ben Van Calster, Laure Wynants, Evangelia Christodoulou, 2018, European urology.

Discrimination ability of prediction models for ordinal outcomes: Relationships between existing measures and a new measure

Yvonne Vergouwe, Ewout W Steyerberg, Ben Van Calster, 2012, Biometrical journal. Biometrische Zeitschrift.

Discrimination between benign and malignant adnexal masses by specialist ultrasound examination versus serum CA-125.

Patrick Neven, Sabine Van Huffel, Dirk Timmerman, 2007, Journal of the National Cancer Institute.

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

Jie Ma, Ewout W. Steyerberg, Gary S. Collins, 2019, Journal of clinical epidemiology.