Ben Van Calster (B Van Calster, Ben van Calster)

ResearcherID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 69

Top Topics

Machine Learning

Cardiovascular Disease

Total Hip Arthroplasty

Artificial Intelligence

Top Venues

BMJ (Clinical research ed.)

Statistics in medicine

Statistical methods in medical research

British journal of cancer

This page only lists publications with an associated author ORCID identifier.

Publications

Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Dahham Alsoud, Ben Van Calster
Beyond Discrimination: A Call for Comprehensive Assessment of Clinical Prediction Models in Inflammatory Bowel Disease. Inflammatory bowel diseases (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Lasai Barreñada, Ashleigh Ledger, Paula Dhiman, Gary Stephen Collins, Laure Wynants, Jan Yvan Jos Verbakel, Dirk Timmerman, Lil Valentin, Ben Van Calster
ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies. BMJ medicine 3 (1) (2024)
Lasai Barreñada, Ashleigh Ledger, Paula Dhiman, Gary Stephen Collins, Laure Wynants, Jan Yvan Jos Verbakel, Dirk Timmerman, Lil Valentin, Ben Van Calster
ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies. BMJ medicine 3 (1) (2024)
Chiara Landolfo, Jolien Ceusters, Lil Valentin, Wouter Froyman, Toon Van Gorp, Ruben Heremans, Thaïs Baert, Roxanne Wouters, Ann Vankerckhoven, Anne-Sophie Van Rompuy, Jaak Billen, Francesca Moro, Floriana Mascilini, Adam Neumann, Caroline Van Holsbeke, Valentina Chiappa, Tom Bourne, Daniela Fischerova, Antonia Testa, An Coosemans, Dirk Timmerman, Ben Van Calster
Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery. British journal of cancer 130 (6) (2024)
Chiara Landolfo, Jolien Ceusters, Lil Valentin, Wouter Froyman, Toon Van Gorp, Ruben Heremans, Thaïs Baert, Roxanne Wouters, Ann Vankerckhoven, Anne-Sophie Van Rompuy, Jaak Billen, Francesca Moro, Floriana Mascilini, Adam Neumann, Caroline Van Holsbeke, Valentina Chiappa, Tom Bourne, Daniela Fischerova, Antonia Testa, An Coosemans, Dirk Timmerman, Ben Van Calster
Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery. British journal of cancer 130 (6) (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Zoë S Dunias, Ben Van Calster, Dirk Timmerman, Anne-Laure Boulesteix, Maarten van Smeden
A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study. Statistics in medicine 43 (6) (2024)
Zoë S Dunias, Ben Van Calster, Dirk Timmerman, Anne-Laure Boulesteix, Maarten van Smeden
A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study. Statistics in medicine 43 (6) (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Lasai Barreñada, Ashleigh Ledger, Paula Dhiman, Gary Stephen Collins, Laure Wynants, Jan Yvan Jos Verbakel, Dirk Timmerman, Lil Valentin, Ben Van Calster
ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies. BMJ medicine 3 (1) (2024)
Zoë S Dunias, Ben Van Calster, Dirk Timmerman, Anne-Laure Boulesteix, Maarten van Smeden
A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study. Statistics in medicine (2024)
Lasai Barreñada, Ashleigh Ledger, Paula Dhiman, Gary Stephen Collins, Laure Wynants, Jan Yvan Jos Verbakel, Dirk Timmerman, Lil Valentin, Ben Van Calster
ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies. BMJ medicine 3 (1) (2024)
Dahham Alsoud, Ben Van Calster
Beyond Discrimination: A Call for Comprehensive Assessment of Clinical Prediction Models in Inflammatory Bowel Disease. Inflammatory bowel diseases 30 (6) (2024)
Chiara Landolfo, Jolien Ceusters, Lil Valentin, Wouter Froyman, Toon Van Gorp, Ruben Heremans, Thaïs Baert, Roxanne Wouters, Ann Vankerckhoven, Anne-Sophie Van Rompuy, Jaak Billen, Francesca Moro, Floriana Mascilini, Adam Neumann, Caroline Van Holsbeke, Valentina Chiappa, Tom Bourne, Daniela Fischerova, Antonia Testa, An Coosemans, Dirk Timmerman, Ben Van Calster
Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery. British journal of cancer (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Chiara Landolfo, Jolien Ceusters, Lil Valentin, Wouter Froyman, Toon Van Gorp, Ruben Heremans, Thaïs Baert, Roxanne Wouters, Ann Vankerckhoven, Anne-Sophie Van Rompuy, Jaak Billen, Francesca Moro, Floriana Mascilini, Adam Neumann, Caroline Van Holsbeke, Valentina Chiappa, Tom Bourne, Daniela Fischerova, Antonia Testa, An Coosemans, Dirk Timmerman, Ben Van Calster
Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery. British journal of cancer 130 (6) (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Gary Stephen Collins, Karel G M Moons, Paula Dhiman, Richard D Riley, Andrew L Beam, Ben Van Calster, Marzyeh Ghassemi, Xiaoxuan Liu, Johannes B Reitsma, Maarten van Smeden, Anne-Laure Boulesteix, Jennifer Catherine Louise Camaradou, Leo Anthony Celi, Spiros Denaxas, Alastair Keith Denniston, Ben Glocker, Robert M Golub, Hugh Harvey, Georg Heinze, Michael M Hoffman, Andre Pascal Kengne, Emily Lam, Naomi Lee, Elizabeth W Loder, Lena Maier-Hein, Bilal Akhter Mateen, Melissa Danielle McCradden, Lauren Oakden-Rayner, Johan Ordish, Richard Parnell, Sherri Rose, Karandeep S Singh, Laure Wynants, Patrícia Logullo
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ (Clinical research ed.) 385 (2024)
Ashleigh Ledger, Jolien Ceusters, Lil Valentin, Antonia Testa, Caroline Van Holsbeke, Dorella Franchi, Tom Bourne, Wouter Froyman, Dirk Timmerman, Ben Van Calster
Multiclass risk models for ovarian malignancy: an illustration of prediction uncertainty due to the choice of algorithm. BMC medical research methodology 23 (1) (2023)
Ben Van Calster
Provide public access to ethics-approved study protocols. Nature 614 (7947) (2023)
Anne A H de Hond, Vaibhavi B Shah, Ilse M J Kant, Ben Van Calster, Ewout Willem Steyerberg, Tina Hernandez Boussard
Perspectives on validation of clinical predictive algorithms. NPJ digital medicine 6 (1) (2023)
Alexander Pate, Richard D Riley, Gary Stephen Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, Glen Philip Martin
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Statistical methods in medical research 32 (3) (2023)
Ben Van Calster
Provide public access to ethics-approved study protocols. Nature 614 (7947) (2023)
Ben Van Calster, Ewout Willem Steyerberg, Laure Wynants, Maarten van Smeden
There is no such thing as a validated prediction model. BMC medicine 21 (1) (2023)
Alexander Pate, Richard D Riley, Gary Stephen Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, Glen Philip Martin
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Statistical methods in medical research (2023)
Anne A H de Hond, Vaibhavi B Shah, Ilse M J Kant, Ben Van Calster, Ewout Willem Steyerberg, Tina Hernandez Boussard
Perspectives on validation of clinical predictive algorithms. NPJ digital medicine 6 (1) (2023)
Ben Van Calster, Ewout Willem Steyerberg, Laure Wynants, Maarten van Smeden
There is no such thing as a validated prediction model. BMC medicine 21 (1) (2023)
Anne A H de Hond, Vaibhavi B Shah, Ilse M J Kant, Ben Van Calster, Ewout Willem Steyerberg, Tina Hernandez Boussard
Perspectives on validation of clinical predictive algorithms. NPJ digital medicine 6 (1) (2023)
Alexander Pate, Richard D Riley, Gary Stephen Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, Glen Philip Martin
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Statistical methods in medical research 32 (3) (2023)
Ben Van Calster, Ewout Willem Steyerberg, Laure Wynants, Maarten van Smeden
There is no such thing as a validated prediction model. BMC medicine 21 (1) (2023)
Alexander Pate, Richard D Riley, Gary Stephen Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, Glen Philip Martin
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Statistical methods in medical research 32 (3) (2023)
Tessy Boedt, Eline Dancet, Diane De Neubourg, Sofie Vereeck, Seghers Jan, Katleen Van der Gucht, Ben Van Calster, Carl Spiessens, Sharon Lie Fong, Christophe Matthys
A blended preconception lifestyle programme for couples undergoing IVF: lessons learned from a multicentre randomized controlled trial. Human reproduction open 2023 (4) (2023)
Alexander Pate, Richard D Riley, Gary Stephen Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, Glen Philip Martin
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Statistical methods in medical research (2023)
Tessy Boedt, Eline Dancet, Diane De Neubourg, Sofie Vereeck, Seghers Jan, Katleen Van der Gucht, Ben Van Calster, Carl Spiessens, Sharon Lie Fong, Christophe Matthys
A blended preconception lifestyle programme for couples undergoing IVF: lessons learned from a multicentre randomized controlled trial. Human reproduction open 2023 (4) (2023)
Alexander Pate, Richard D Riley, Gary Stephen Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, Glen Philip Martin
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Statistical methods in medical research 32 (3) (2023)
Alexander Pate, Richard D Riley, Gary Stephen Collins, Maarten van Smeden, Ben Van Calster, Joie Ensor, Glen Philip Martin
Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Statistical methods in medical research 32 (3) (2023)
Gaurav Gulati, Jenica Upshaw, Benjamin S Wessler, Riley J Brazil, Jason Nelson, David van Klaveren, Christine M Lundquist, Jinny G Park, Hannah McGinnes, Ewout Willem Steyerberg, Ben Van Calster, David M Kent
Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models. Circulation. Cardiovascular quality and outcomes 15 (4) (2022)
David J McLernon, Daniele Giardiello, Ben Van Calster, Laure Wynants, Anna A van Geloven, Maarten van Smeden, Terry M Therneau, Ewout Willem Steyerberg, null null
Assessing Performance and Clinical Usefulness in Prediction Models With Survival Outcomes: Practical Guidance for Cox Proportional Hazards Models. Annals of internal medicine (2022)
Maarten van Smeden, Georg Heinze, Ben Van Calster, Folkert W Asselbergs, Panos E Vardas, Nico Bruining, Peter de Jaegere, Jason H Moore, Spiros Denaxas, Anne Laure Boulesteix, Karel G M Moons
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease. European heart journal 43 (31) (2022)
Valentijn M T de Jong, Rebecca Z Rousset, Neftalí Eduardo Antonio-Villa, Arnoldus G Buenen, Ben Van Calster, Omar Yaxmehen Bello-Chavolla, Nigel J Brunskill, Vasa Curcin, Johanna A A G Damen, Carlos A Fermín-Martínez, Luisa Fernandez-Chirino, Davide Ferrari, Robert C Free, Rishi K Gupta, Pranabashis Haldar, Pontus Hedberg, Steven Kwasi Korang, Steef Kurstjens, Ron Kusters, Rupert W Major, Lauren Maxwell, Rajeshwari Nair, Pontus Naucler, Tri-Long Nguyen, Mahdad Noursadeghi, Rossana M Rosa, Felipe Soares, Toshihiko Takada, Florien Sophie-Anne van Royen, Maarten van Smeden, Laure Wynants, Martin Modrák, null null, Folkert W. Asselbergs, Marijke Linschoten, null null, Karel G M Moons, Thomas P A Debray
Clinical prediction models for mortality in patients with covid-19: external validation and individual participant data meta-analysis. BMJ (Clinical research ed.) 378 (2022)
David J McLernon, Daniele Giardiello, Ben Van Calster, Laure Wynants, Anna A van Geloven, Maarten van Smeden, Terry M Therneau, Ewout Willem Steyerberg, null null
Assessing Performance and Clinical Usefulness in Prediction Models With Survival Outcomes: Practical Guidance for Cox Proportional Hazards Models. Annals of internal medicine 176 (1) (2022)
Jessica Farren, Maria Jalmbrant, Nora Falconieri, Nicola Mitchell-Jones, Shabnam Bobdiwala, Maya Al-Memar, Nina Parker, Ben Van Calster, Dirk Timmerman, Tom Bourne
Prognostic factors for post-traumatic stress, anxiety and depression in women after early pregnancy loss: a multi-centre prospective cohort study. BMJ open 12 (3) (2022)
Ruben van den Goorbergh, Maarten van Smeden, Dirk Timmerman, Ben Van Calster
The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression. Journal of the American Medical Informatics Association : JAMIA 29 (9) (2022)
David J McLernon, Daniele Giardiello, Ben Van Calster, Laure Wynants, Anna A van Geloven, Maarten van Smeden, Terry M Therneau, Ewout Willem Steyerberg, null null
Assessing Performance and Clinical Usefulness in Prediction Models With Survival Outcomes: Practical Guidance for Cox Proportional Hazards Models. Annals of internal medicine 176 (1) (2022)
David J McLernon, Daniele Giardiello, Ben Van Calster, Laure Wynants, Anna A van Geloven, Maarten van Smeden, Terry M Therneau, Ewout Willem Steyerberg, null null
Assessing Performance and Clinical Usefulness in Prediction Models With Survival Outcomes: Practical Guidance for Cox Proportional Hazards Models. Annals of internal medicine 176 (1) (2022)
Gary Stephen Collins, Paula Dhiman, Constanza L Andaur Navarro, Jie Ma, Lotty Hooft, Johannes B Reitsma, Patrícia Logullo, Andrew L Beam, Lily Peng, Ben Van Calster, Maarten van Smeden, Richard D Riley, Karel Gm Moons
Protocol for development of a reporting guideline (TRIPOD-AI) and risk of bias tool (PROBAST-AI) for diagnostic and prognostic prediction model studies based on artificial intelligence. BMJ open 11 (7) (2021)
Shabnam Bobdiwala, Christopher Kyriacou, Evangelia Christodoulou, Jessica Farren, Nicola Mitchell-Jones, Maya Al-Memar, Francis Ayim, Baljinder Chohan, Emma Kirk, Osama Abughazza, Bramara Guruwadahyarhalli, Sharmistha Guha, Veluppillai Vathanan, Debbie Gould, Catriona Stalder, Dirk Timmerman, Ben Van Calster, Tom Bourne
Evaluating cut-off levels for progesterone, β human chorionic gonadotropin and β human chorionic gonadotropin ratio to exclude pregnancy viability in women with a pregnancy of unknown location: A prospective multicenter cohort study. Acta obstetricia et gynecologica Scandinavica (2021)
Evangelia Christodoulou, Maarten van Smeden, Michael Edlinger, Dirk Timmerman, Maria Wanitschek, Ewout W Steyerberg, Ben Van Calster
Adaptive sample size determination for the development of clinical prediction models. Diagnostic and prognostic research 5 (1) (2021)
Michael Edlinger, Maarten van Smeden, Hannes F Alber, Maria Wanitschek, Ben Van Calster
Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption. Statistics in medicine 41 (8) (2021)
Ben Van Calster, Gary Stephen Collins, Jack Wilkinson
Methodological Issues in the Development of a Prediction Tool for First-Trimester Outcomes. Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine 40 (8) (2020)
Evangelia Christodoulou, S Bobdiwala, C Kyriacou, J Farren, N Mitchell-Jones, F Ayim, B Chohan, O Abughazza, B Guruwadahyarhalli, M Al-Memar, S Guha, V Vathanan, D Gould, C Stalder, Laure Wynants, Dirk Timmerman, Tom Bourne, Ben Van Calster
External validation of models to predict the outcome of pregnancies of unknown location: a multicentre cohort study. BJOG : an international journal of obstetrics and gynaecology 128 (3) (2020)
Laure Wynants, Ben Van Calster, Gary S Collins, Richard D Riley, Georg Heinze, Ewoud Schuit, Marc J M Bonten, Darren L Dahly, Johanna A A Damen, Thomas P A Debray, Valentijn M T de Jong, Maarten de Vos, Paul Dhiman, Maria C Haller, Michael O Harhay, Liesbet Henckaerts, Pauline Heus, Michael Kammer, Nina Kreuzberger, Anna Lohmann, Kim Luijken, Jie Ma, Glen P Martin, David J McLernon, Constanza L Andaur Navarro, Johannes B Reitsma, Jamie C Sergeant, Chunhu Shi, Nicole Skoetz, Luc J M Smits, Kym I E Snell, Matthew Sperrin, René Spijker, Ewout Willem Steyerberg, Toshihiko Takada, Ioanna Tzoulaki, Sander M J van Kuijk, Bas van Bussel, Iwan C C van der Horst, Florien S van Royen, Jan Y Verbakel, Christine Schilhart-Wallisch, Jack Wilkinson, Robert Wolff, Lotty Hooft, Karel G M Moons, Maarten van Smeden
Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal BMJ (Clinical research ed.) 369 (2020)
Ben Van Calster, Maarten van Smeden, Bavo De Cock, Ewout W Steyerberg
Regression shrinkage methods for clinical prediction models do not guarantee improved performance: Simulation study. Statistical methods in medical research 29 (11) (2020)
Ben Van Calster, Lil Valentin, Wouter Froyman, Chiara Landolfo, Jolien Ceusters, Antonia Carla Testa, Laure Wynants, Povilas Sladkevicius, Caroline Van Holsbeke, Aikaterini Domali, Robert Fruscio, Elisabeth Epstein, Dorella Franchi, Marek Jerzy Kudla, Valentina Chiappa, Juan Luis Alcazar, Francesco P G Leone, Francesca Buonomo, Maria Elisabetta Coccia, Stefano Guerriero, Nandita Deo, Ligita Jokubkiene, Luca Savelli, Daniela Fischerova, Artur Czekierdowski, Jeroen Kaijser, An Coosemans, Giovanni Scambia, Ignace Vergote, Tom Bourne, Dirk Timmerman
Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study. BMJ (Clinical research ed.) 370 (2020)
Laure Wynants, Luc J M Smits, Ben Van Calster
Demystifying AI in healthcare. BMJ (Clinical research ed.) 370 (2020)
Richard D Riley, Ben Van Calster, Gary Stephen Collins
A note on estimating the Cox-Snell R2 from a reported C statistic (AUROC) to inform sample size calculations for developing a prediction model with a binary outcome. Statistics in medicine 40 (4) (2020)
Ewout Willem Steyerberg, Ben Van Calster
Redefining significance and reproducibility for medical research: A plea for higher P-value thresholds for diagnostic and prognostic models. European journal of clinical investigation 50 (5) (2020)
Nora Falconieri, Ben Van Calster, Dirk Timmerman, Laure Wynants
Developing risk models for multicenter data using standard logistic regression produced suboptimal predictions: A simulation study. Biometrical journal. Biometrische Zeitschrift 62 (4) (2020)
Ben Van Calster, David J McLernon, Maarten van Smeden, Laure Wynants, Ewout Willem Steyerberg, null null
Calibration: the Achilles heel of predictive analytics. BMC medicine 17 (1) (2019)
Valentijn M T de Jong, Marinus J C Eijkemans, Ben Van Calster, Dirk Timmerman, Karel G M Moons, Ewout Willem Steyerberg, Maarten van Smeden
Sample size considerations and predictive performance of multinomial logistic prediction models. Statistics in medicine 38 (9) (2019)
Kim Luijken, Rolf H H Groenwold, Ben Van Calster, Ewout Willem Steyerberg, Maarten van Smeden
Impact of predictor measurement heterogeneity across settings on the performance of prediction models: A measurement error perspective. Statistics in medicine 38 (18) (2019)
Povilas Sladkevicius, Arnaud Jf Installé, Thierry van den Bosch, Dirk Timmerman, Beryl R Benacerraf, Ligita Jokubkiene, A Di Legge, A Votino, L Zannoni, Bart De Moor, B De Cock, Ben Van Calster, Lil Valentin
International Endometrial Tumor Analysis (IETA) terminology in women with postmenopausal bleeding and sonographic endometrial thickness ≥ 4.5 mm: agreement and reliability study. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 51 (2) (2018)
Ben Van Calster, Ewout Willem Steyerberg, Gary Stephen Collins, Tim Smits
Consequences of relying on statistical significance: Some illustrations. European journal of clinical investigation 48 (5) (2018)
Laure Wynants, Richard D Riley, Dirk Timmerman, Ben Van Calster
Random-effects meta-analysis of the clinical utility of tests and prediction models. Statistics in medicine 37 (12) (2018)
Ben Van Calster, Kirsten Van Hoorde, Yvonne Vergouwe, Shabnam Bobdiwala, George Condous, Emma Kirk, Tom Bourne, Ewout W Steyerberg
Validation and updating of risk models based on multinomial logistic regression. Diagnostic and prognostic research 1 (2017)
Ben Van Calster
External validation of ADNEX model for diagnosing ovarian cancer: evaluating performance of differentiation between tumor subgroups. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology 50 (3) (2017)