Van Calster B - Search Results

1

Larger sample sizes are needed when developing a clinical prediction model using machine learning in oncology: methodological systematic review.

Tsegaye B, Snell KI, Archer L, Kirtley S, Riley RD, Sperrin M, Van Calster B, Collins GS, Dhiman P. Tsegaye B, et al. Among authors: van calster b. J Clin Epidemiol. 2025 Jan 13:111675. doi: 10.1016/j.jclinepi.2025.111675. Online ahead of print. J Clin Epidemiol. 2025. PMID: 39814217

2

Editorial.

Platt RW, Stallard N, McShane L, Van Calster B, Albert PS. Platt RW, et al. Among authors: van calster b. Stat Med. 2025 Jan 15;44(1-2):e10273. doi: 10.1002/sim.10273. Stat Med. 2025. PMID: 39775600 Free PMC article. No abstract available.

3

Prognostic models for prediction of perioperative allogeneic red blood cell transfusion in adult cardiac surgery: A systematic review and meta-analysis.

Van den Eynde R, Vrancken A, Foubert R, Tuand K, Vandendriessche T, Schrijvers A, Verbrugghe P, Devos T, Van Calster B, Rex S. Van den Eynde R, et al. Among authors: van calster b. Transfusion. 2024 Dec 26. doi: 10.1111/trf.18108. Online ahead of print. Transfusion. 2024. PMID: 39726297 Review.

4

Letter to the editor: The use of fast approximate random forests using subsampling (rfsrc.fast) does not support the conclusion on sample sizes needed for random survival forests.

Albu E, Van Calster B, Wynants L. Albu E, et al. Among authors: van calster b. Stat Med. 2024 Oct 30;43(24):4778-4780. doi: 10.1002/sim.10204. Stat Med. 2024. PMID: 39412142 No abstract available.

5

Risk-prediction models in postmenopausal patients with symptoms of suspected ovarian cancer in the UK (ROCkeTS): a multicentre, prospective diagnostic accuracy study.

Sundar S, Agarwal R, Davenport C, Scandrett K, Johnson S, Sengupta P, Selvi-Vikram R, Kwong FL, Mallett S, Rick C, Kehoe S, Timmerman D, Bourne T, Van Calster B, Stobart H, Neal RD, Menon U, Gentry-Maharaj A, Sturdy L, Ottridge R, Deeks J; ROCkeTS collaborators. Sundar S, et al. Among authors: van calster b. Lancet Oncol. 2024 Oct;25(10):1371-1386. doi: 10.1016/S1470-2045(24)00406-6. Lancet Oncol. 2024. PMID: 39362250 Free article.

6

Understanding overfitting in random forest for probability estimation: a visualization and simulation study.

Barreñada L, Dhiman P, Timmerman D, Boulesteix AL, Van Calster B. Barreñada L, et al. Among authors: van calster b. Diagn Progn Res. 2024 Sep 27;8(1):14. doi: 10.1186/s41512-024-00177-1. Diagn Progn Res. 2024. PMID: 39334348 Free PMC article.

7

How to develop, validate, and update clinical prediction models using multinomial logistic regression.

Gehringer CK, Martin GP, Van Calster B, Hyrich KL, Verstappen SMM, Sergeant JC. Gehringer CK, et al. Among authors: van calster b. J Clin Epidemiol. 2024 Oct;174:111481. doi: 10.1016/j.jclinepi.2024.111481. Epub 2024 Jul 25. J Clin Epidemiol. 2024. PMID: 39067542 Free article.

8

Understanding random resampling techniques for class imbalance correction and their consequences on calibration and discrimination of clinical risk prediction models.

Piccininni M, Wechsung M, Van Calster B, Rohmann JL, Konigorski S, van Smeden M. Piccininni M, et al. Among authors: van calster b. J Biomed Inform. 2024 Jul;155:104666. doi: 10.1016/j.jbi.2024.104666. Epub 2024 Jun 6. J Biomed Inform. 2024. PMID: 38848886

9

Impact of Medical Device Regulation on use of ultrasound-based prediction models in clinical practice.

Kotlarz A, Froyman W, Valentin L, Testa A, Van Hove M, Van Calster B, Bourne T, Timmerman D. Kotlarz A, et al. Among authors: van calster b. Ultrasound Obstet Gynecol. 2024 May 3. doi: 10.1002/uog.27675. Online ahead of print. Ultrasound Obstet Gynecol. 2024. PMID: 38700069 No abstract available.

10

Variables Associated With Resolution and Persistence of Ovarian Cysts.

Timmerman S, Van Calster B, Froyman W. Timmerman S, et al. Among authors: van calster b. Obstet Gynecol. 2024 May 1;143(5):e140. doi: 10.1097/AOG.0000000000005558. Obstet Gynecol. 2024. PMID: 38636088 No abstract available.

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