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Karel G.M. Moons

Karel G.M. Moons

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Medicine
Netherlands
2023

D-Index & Metrics

Medicine

D-Index
140
Citations
122510
World Ranking
1651
National Ranking
55

Research.com Recognitions

  • 2023 - Research.com Medicine in Netherlands Leader Award

Overview

Karel G.M. Moons is affiliated with Utrecht University in the Netherlands and has an extensive research portfolio primarily focused on medicine. Their work spans multiple subfields including Artificial Intelligence, Economics and Econometrics, Statistics, Probability and Uncertainty, Health Informatics, and Infectious Diseases.

The scientist's research topics cover a broad spectrum in healthcare and epidemiology. Key areas include Artificial Intelligence in Healthcare and Education, Meta-analysis and systematic reviews, Health Systems, Economic Evaluations, Quality of Life, Machine Learning in Healthcare, Healthcare cost, quality, practices, SARS-CoV-2 detection and testing, and SARS-CoV-2 and COVID-19 Research.

Frequent publication venues for their research work include:

  • Journal of Clinical Epidemiology
  • BMJ
  • BMJ Open
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Statistics in Medicine

Recent notable papers by Karel G.M. Moons feature collaborations with various authors and address clinical prediction models and epidemiological risk assessments. Examples include:

  • Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal, 2020, BMJ
  • Calculating the sample size required for developing a clinical prediction model, 2020, BMJ
  • SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe, 2021, European Heart Journal
  • TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods, 2024, BMJ
  • 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 intelligence, 2021, BMJ Open

Their frequent collaborators include Gary S. Collins, Maarten van Smeden, Richard D. Riley, Lotty Hooft, and Johanna AAG Damen, reflecting ongoing partnerships in the development and evaluation of clinical prediction models, methodological guidance, and artificial intelligence applications in medicine.

Best Publications

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): the TRIPOD Statement.

    G S Collins;J B Reitsma;D G Altman;K G M Moons

  • Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): explanation and elaboration.

    Karel G.M. Moons;Douglas G. Altman;Johannes B. Reitsma;John P.A. Ioannidis

  • Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

    Laure Wynants;Laure Wynants;Ben Van Calster;Ben Van Calster;Gary S Collins;Gary S Collins;Richard D Riley

  • General and abdominal adiposity and risk of death in Europe.

    T. Pischon;H. Boeing;K. Hoffmann;M. Bergmann

  • General and Abdominal Adiposity and Risk of Death in Europe

    T. Pischon;H. Boeing;K. Hoffmann

  • Review: A gentle introduction to imputation of missing values

    A. Rogier T. Donders;A. Rogier T. Donders;Geert J.M.G. van der Heijden;Theo Stijnen;Karel G.M. Moons

  • Prognosis and prognostic research: what, why, and how?

    Karel G M Moons;Patrick Royston;Yvonne Vergouwe;Diederick E Grobbee

  • Prognosis and prognostic research: validating a prognostic model

    Douglas G Altman;Yvonne Vergouwe;Patrick Royston;Karel G M Moons

  • PROBAST: A tool to assess the risk of bias and applicability of prediction model studies

    Robert F. Wolff;Karel G.M. Moons;Richard D. Riley;Penny F. Whiting

  • Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

    Karel G. M. Moons;Joris A. H. de Groot;Walter Bouwmeester;Yvonne Vergouwe

  • Calculating the sample size required for developing a clinical prediction model.

    Richard D Riley;Joie Ensor;Kym I E Snell;Frank E Harrell

  • Prognosis Research Strategy (PROGRESS) 3: prognostic model research.

    Ewout W. Steyerberg;Karel G. M. Moons;Danielle A. van der Windt;Jill A. Hayden

  • Prognosis and prognostic research: Developing a prognostic model

    Patrick Royston;Karel G M Moons;Douglas G Altman;Yvonne Vergouwe

  • Long-Term Cognitive Impairment After Critical Illness

    Pratik P. Pandharipande;Timothy D. Girard;James C. Jackson;Alessandro Morandi

  • Risk prediction models: II. External validation, model updating, and impact assessment

    Karel G M Moons;Andre Pascal Kengne;Andre Pascal Kengne;Andre Pascal Kengne;Diederick E Grobbee;Patrick Royston

  • Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker

    Karel G M Moons;Andre Pascal Kengne;Andre Pascal Kengne;Andre Pascal Kengne;Mark Woodward;Patrick Royston

  • Using the outcome for imputation of missing predictor values was preferred

    Karel G.M. Moons;Rogier A.R.T. Donders;Theo Stijnen;Frank E. Harrell

  • Calibration: the Achilles heel of predictive analytics

    Ben Van Calster;Ben Van Calster;David J. McLernon;Maarten van Smeden;Laure Wynants;Laure Wynants

  • Prognosis and prognostic research: application and impact of prognostic models in clinical practice

    Karel G M Moons;Douglas G Altman;Yvonne Vergouwe;Patrick Royston

  • PROBAST : A Tool to Assess Risk of Bias and Applicability of Prediction Model Studies: Explanation and Elaboration

    Karel G.M. Moons;Robert F. Wolff;Richard D. Riley;Penny F. Whiting

Frequent Co-Authors

Johannes B. Reitsma
Johannes B. Reitsma Utrecht University
Diederick E. Grobbee
Diederick E. Grobbee Utrecht University
Gary S. Collins
Gary S. Collins University of Oxford
Arno W. Hoes
Arno W. Hoes Utrecht University
Douglas G. Altman
Douglas G. Altman University of Oxford
Cor J. Kalkman
Cor J. Kalkman University Medical Center Utrecht
Ewout W. Steyerberg
Ewout W. Steyerberg Leiden University Medical Center
Ben Willem J. Mol
Ben Willem J. Mol Monash University
Yvonne T. van der Schouw
Yvonne T. van der Schouw Utrecht University
Henriëtte A. Moll
Henriëtte A. Moll Erasmus University Rotterdam

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