Ben Van Calster
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Explore the profile of Ben Van Calster including associated specialties, affiliations and a list of published articles.
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195
Citations
8552
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Recent Articles
1.
Kaul T, Damen J, Wynants L, Van Calster B, van Smeden M, Hooft L, et al.
J Clin Epidemiol
. 2025 Feb;
:111732.
PMID: 40010583
Background And Objectives: Since 2019, the Prediction model Risk Of Bias Assessment Tool (PROBAST: www.probast.org) has supported methodological quality assessments of prediction model studies. Most prediction model studies are rated...
2.
Tack B, Vita D, Mbuyamba J, Ntangu E, Vuvu H, Kahindo I, et al.
BMC Infect Dis
. 2025 Jan;
25(1):122.
PMID: 39871187
Background: Non-typhoidal Salmonella (NTS) frequently cause bloodstream infection in children under-five in sub-Saharan Africa, particularly in malaria-endemic areas. Due to increasing drug resistance, NTS are often not covered by standard-of-care...
3.
Carriero A, Luijken K, de Hond A, Moons K, Van Calster B, van Smeden M
Stat Med
. 2025 Jan;
44(3-4):e10320.
PMID: 39865585
Introduction: Risk prediction models are increasingly used in healthcare to aid in clinical decision-making. In most clinical contexts, model calibration (i.e., assessing the reliability of risk estimates) is critical. Data...
4.
Tsegaye B, Snell K, Snell K, Archer L, Kirtley S, Riley R, et al.
J Clin Epidemiol
. 2025 Jan;
180:111675.
PMID: 39814217
Background And Objectives: Having a sufficient sample size is crucial when developing a clinical prediction model. We reviewed details of sample size in studies developing prediction models for binary outcomes...
5.
Platt R, Stallard N, McShane L, Van Calster B, Albert P
Stat Med
. 2025 Jan;
44(1-2):e10273.
PMID: 39775600
No abstract available.
6.
Van den Eynde R, Vrancken A, Foubert R, Tuand K, Vandendriessche T, Schrijvers A, et al.
Transfusion
. 2024 Dec;
65(2):397-409.
PMID: 39726297
Objectives: Identifying cardiac surgical patients at risk of requiring red blood cell (RBC) transfusion is crucial for optimizing their outcome. We critically appraised prognostic models preoperatively predicting perioperative exposure to...
7.
Albu E, Van Calster B, Wynants L
Stat Med
. 2024 Oct;
43(24):4778-4780.
PMID: 39412142
No abstract available.
8.
Sundar S, Agarwal R, Davenport C, Scandrett K, Johnson S, Sengupta P, et al.
Lancet Oncol
. 2024 Oct;
25(10):1371-1386.
PMID: 39362250
Background: Multiple risk-prediction models are used in clinical practice to triage patients as being at low risk or high risk of ovarian cancer. In the ROCkeTS study, we aimed to...
9.
Barrenada L, Dhiman P, Timmerman D, Boulesteix A, Van Calster B
Diagn Progn Res
. 2024 Sep;
8(1):14.
PMID: 39334348
Background: Random forests have become popular for clinical risk prediction modeling. In a case study on predicting ovarian malignancy, we observed training AUCs close to 1. Although this suggests overfitting,...
10.
Gehringer C, Martin G, Van Calster B, Hyrich K, Verstappen S, Sergeant J
J Clin Epidemiol
. 2024 Jul;
174:111481.
PMID: 39067542
Objectives: Multicategory prediction models (MPMs) can be used in health care when the primary outcome of interest has more than two categories. The application of MPMs is scarce, possibly due...