Ben Van Calster
Ben Van Calster
Associate Professor, KU Leuven & LUMC Leiden
Verified email at
Cited by
Cited by
Prediction models for diagnosis and prognosis of covid-19 infection: systematic review and critical appraisal
L Wynants, B Van Calster, MMJ Bonten, GS Collins, TPA Debray, ...
bmj 369, 2020
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
E Christodoulou, J Ma, GS Collins, EW Steyerberg, JY Verbakel, ...
Journal of clinical epidemiology 110, 12-22, 2019
Calibration: the Achilles heel of predictive analytics
B Van Calster, DJ McLernon, M Van Smeden, L Wynants, EW Steyerberg, ...
BMC medicine 17 (1), 230, 2019
Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
AJ Vickers, B Van Calster, EW Steyerberg
bmj 352, 2016
Simple ultrasound‐based rules for the diagnosis of ovarian cancer
D Timmerman, AC Testa, T Bourne, L Ameye, D Jurkovic, ...
Ultrasound in Obstetrics and Gynecology: The Official Journal of the …, 2008
Reporting and interpreting decision curve analysis: a guide for investigators
B Van Calster, L Wynants, JFM Verbeek, JY Verbakel, E Christodoulou, ...
European urology 74 (6), 796-804, 2018
Long-term cognitive and cardiac outcomes after prenatal exposure to chemotherapy in children aged 18 months or older: an observational study
F Amant, K Van Calsteren, MJ Halaska, MM Gziri, W Hui, L Lagae, ...
Lancet Oncology 13 (3), 256-264, 2012
A calibration hierarchy for risk models was defined: from utopia to empirical data
B Van Calster, D Nieboer, Y Vergouwe, B De Cock, MJ Pencina, ...
Journal of clinical epidemiology 74, 167-176, 2016
Antenatal maternal anxiety is related to HPA-axis dysregulation and self-reported depressive symptoms in adolescence: a prospective study on the fetal origins of depressed mood
BRH Van den Bergh, B Van Calster, T Smits, S Van Huffel, L Lagae
Neuropsychopharmacology 33 (3), 536-545, 2008
Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the International Ovarian Tumor Analysis Group
D Timmerman, AC Testa, T Bourne, E Ferrazzi, L Ameye, ...
J Clin Oncol 23 (34), 8794-8801, 2005
A simple, step-by-step guide to interpreting decision curve analysis
AJ Vickers, B van Calster, EW Steyerberg
Diagnostic and prognostic research 3, 1-8, 2019
Justify your alpha
D Lakens, FG Adolfi, CJ Albers, F Anvari, MAJ Apps, SE Argamon, ...
Nature human behaviour 2 (3), 168-171, 2018
Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary …
B Van Calster, K Van Hoorde, L Valentin, AC Testa, D Fischerova, ...
Bmj 349, 2014
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 …
GS Collins, P Dhiman, CLA Navarro, J Ma, L Hooft, JB Reitsma, P Logullo, ...
BMJ open 11 (7), e048008, 2021
Prognosis of women with primary breast cancer diagnosed during pregnancy: results from an international collaborative study
F Amant, G von Minckwitz, SN Han, M Bontenbal, AE Ring, J Giermek, ...
Journal of Clinical Oncology 31 (20), 2532-2539, 2013
Treatment of breast cancer during pregnancy: an observational study
S Loibl, SN Han, G von Minckwitz, M Bontenbal, A Ring, J Giermek, ...
The lancet oncology 13 (9), 887-896, 2012
Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group
D Timmerman, B Van Calster, A Testa, L Savelli, D Fischerova, ...
American journal of obstetrics and gynecology 214 (4), 424-437, 2016
Pregnancy of unknown location: a consensus statement of nomenclature, definitions, and outcome
K Barnhart, NM Van Mello, T Bourne, E Kirk, B Van Calster, C Bottomley, ...
Fertility and sterility 95 (3), 857-866, 2011
Oncological management and obstetric and neonatal outcomes for women diagnosed with cancer during pregnancy: a 20-year international cohort study of 1170 patients
J de Haan, M Verheecke, K Van Calsteren, B Van Calster, RG Shmakov, ...
The Lancet Oncology 19 (3), 337-346, 2018
Calibration of risk prediction models: impact on decision-analytic performance
B Van Calster, AJ Vickers
Medical decision making 35 (2), 162-169, 2015
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