Seuraa
Ben Van Calster
Ben Van Calster
Professor of Medical Statistics, KU Leuven
Vahvistettu sähköpostiosoite verkkotunnuksessa kuleuven.be
Nimike
Viittaukset
Viittaukset
Vuosi
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
33932020
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
16302019
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
12632019
Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
AJ Vickers, B Van Calster, EW Steyerberg
bmj 352, 2016
9102016
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
8602018
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
7692008
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
7462016
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
7122019
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
680*2012
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
6142008
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, ...
Journal of clinical oncology 23 (34), 8794-8801, 2005
5952005
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
5802021
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
562*2014
Justify your alpha
D Lakens, FG Adolfi, CJ Albers, F Anvari, MAJ Apps, SE Argamon, ...
Nature human behaviour 2 (3), 168-171, 2018
5392018
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
4062013
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
3932018
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
3882012
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
3872016
TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
GS Collins, KGM Moons, P Dhiman, RD Riley, AL Beam, B Van Calster, ...
bmj 385, 2024
3792024
Calibration of risk prediction models: impact on decision-analytic performance
B Van Calster, AJ Vickers
Medical decision making 35 (2), 162-169, 2015
3772015
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Artikkelit 1–20