Ben Van Calster

Ben Van Calster

Katholieke Universiteit Leuven

H-index: 78

Europe-Belgium

About Ben Van Calster

Ben Van Calster, With an exceptional h-index of 78 and a recent h-index of 57 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Prediction modeling, biostatistics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Validation of ADNEX and IOTA two‐step strategy and estimation of risk of complications during follow‐up of adnexal masses in low‐risk population

Comparison of the ADNEX and ROMA risk prediction models for the diagnosis of ovarian cancer: a multicentre external validation in patients who underwent surgery

Variables Associated With Resolution and Persistence of Ovarian Cysts

Understanding random forests and overfitting: a visualization and simulation study

Evaluation of clinical prediction models (part 1): from development to external validation

The harms of class imbalance corrections for machine learning based prediction models: a simulation study

Added value of serum proteins to clinical and ultrasound information in predicting the risk of malignancy in ovarian tumors

Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infection

Ben Van Calster Information

University

Position

Associate Professor & LUMC Leiden

Citations(all)

26086

Citations(since 2020)

18039

Cited By

13644

hIndex(all)

78

hIndex(since 2020)

57

i10Index(all)

215

i10Index(since 2020)

183

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

View Google Scholar Profile

Ben Van Calster Skills & Research Interests

Prediction modeling

biostatistics

Top articles of Ben Van Calster

Title

Journal

Author(s)

Publication Date

Validation of ADNEX and IOTA two‐step strategy and estimation of risk of complications during follow‐up of adnexal masses in low‐risk population

Ultrasound in Obstetrics & Gynecology

MA Pascual

L Vancraeynest

S Timmerman

J Ceusters

A Ledger

...

2024/3/13

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

Chiara Landolfo

Jolien Ceusters

Lil Valentin

Wouter Froyman

Toon Van Gorp

...

2024/1/19

Variables Associated With Resolution and Persistence of Ovarian Cysts

Obstetrics & Gynecology

Anne Lasher

Lauren E Harris

Angelica L Solomon

Laura M Harbin

Lauren Raby

...

2022/5/5

Understanding random forests and overfitting: a visualization and simulation study

arXiv preprint arXiv:2402.18612

Lasai Barreñada

Paula Dhiman

Dirk Timmerman

Anne-Laure Boulesteix

Ben Van Calster

2024/2/28

Evaluation of clinical prediction models (part 1): from development to external validation

bmj

Gary S Collins

Paula Dhiman

Jie Ma

Michael M Schlussel

Lucinda Archer

...

2024/1/8

The harms of class imbalance corrections for machine learning based prediction models: a simulation study

arXiv preprint arXiv:2404.19494

Alex Carriero

Kim Luijken

Anne de Hond

Karel GM Moons

Ben van Calster

...

2024/4/30

Added value of serum proteins to clinical and ultrasound information in predicting the risk of malignancy in ovarian tumors

medRxiv

An Coosemans

Jolien Ceusters

Chiara Landolfo

Thaïs Baert

Wouter Froyman

...

2024

Comparison of static and dynamic random forests models for EHR data in the presence of competing risks: predicting central line-associated bloodstream infection

arXiv preprint arXiv:2404.16127

Elena Albu

Shan Gao

Pieter Stijnen

Frank Rademakers

Christel Janssens

...

2024/4/24

Metrics reloaded: recommendations for image analysis validation

Lena Maier-Hein

Annika Reinke

Patrick Godau

Minu D Tizabi

Florian Buettner

...

2024/2/12

TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

bmj

Gary S Collins

Karel GM Moons

Paula Dhiman

Richard D Riley

Andrew L Beam

...

2024/4/16

ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies

Lasai Barreñada

Ashleigh Ledger

Paula Dhiman

Gary Collins

Laure Wynants

...

2024

Understanding metric-related pitfalls in image analysis validation

Annika Reinke

Minu D Tizabi

Michael Baumgartner

Matthias Eisenmann

Doreen Heckmann-Nötzel

...

2024/2/12

A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study

Statistics in Medicine

Zoë S Dunias

Ben Van Calster

Dirk Timmerman

Anne‐Laure Boulesteix

Maarten van Smeden

2024/3/15

Evaluation of clinical prediction models (part 3): calculating the sample size required for an external validation study

bmj

Richard D Riley

Kym IE Snell

Lucinda Archer

Joie Ensor

Thomas PA Debray

...

2024/1/22

Decision curve analysis: confidence intervals and hypothesis testing for net benefit

Diagnostic and Prognostic Research

Andrew J Vickers

Ben Van Claster

Laure Wynants

Ewout W. Steyerberg

2023/6/23

OC03. 02: Comparison of regression and machine learning models to estimate the probability of ovarian malignancy

Ultrasound in Obstetrics & Gynecology

A Ledger

J Ceusters

L Valentin

W Froyman

T Bourne

...

2023/10

How to develop, externally validate, and update multinomial prediction models

arXiv preprint arXiv:2312.12008

Celina K Gehringer

Glen P Martin

Ben Van Calster

Kimme L Hyrich

Suzanne MM Verstappen

...

2023/12/19

Assessing performance and clinical usefulness in prediction models with survival outcomes: practical guidance for Cox proportional hazards models

Annals of internal medicine

David J McLernon

Daniele Giardiello

Ben Van Calster

Laure Wynants

Nan van Geloven

...

2023/1

External validation of the Ovarian-Adnexal Reporting and Data System (O-RADS) lexicon and the International Ovarian Tumor Analysis 2-step strategy to stratify ovarian tumors …

JAMA oncology

Stefan Timmerman

Lil Valentin

Jolien Ceusters

Antonia C Testa

Chiara Landolfo

...

2023/2/1

Perspectives on validation of clinical predictive algorithms

NPJ Digital Medicine

Anne AH de Hond

Vaibhavi B Shah

Ilse MJ Kant

Ben Van Calster

Ewout W Steyerberg

...

2023/5/6

See List of Professors in Ben Van Calster University(Katholieke Universiteit Leuven)

Co-Authors

H-index: 119
Michael J. Pencina, PhD

Michael J. Pencina, PhD

Duke University

H-index: 101
Dirk Timmerman

Dirk Timmerman

Katholieke Universiteit Leuven

H-index: 98
Professor Tom Bourne

Professor Tom Bourne

Imperial College London

H-index: 88
Richard D Riley

Richard D Riley

Keele University

H-index: 75
Lil Valentin

Lil Valentin

Lunds Universitet

H-index: 72
Thomas Alexander Gerds

Thomas Alexander Gerds

Københavns Universitet

academic-engine