Karel G.M. Moons

Research interests

Publications

• PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

  BMJ · 2025 · https://doi.org/10.1136/bmj-2024-082505

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

  BMJ · 2024 · https://doi.org/10.1136/bmj-2023-078378

• Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

  Nature Medicine · 2022 · https://doi.org/10.1038/s41591-022-01772-9

• SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe

  European Heart Journal · 2021 · https://doi.org/10.1093/eurheartj/ehab309

• 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

  BMJ Open · 2021 · https://doi.org/10.1136/bmjopen-2020-048008

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

  BMJ · 2020 · 10.1136/bmj.m441

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

  BMJ · 2020 · https://doi.org/10.1136/bmj.m1328

• World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions

  The Lancet Global Health · 2019 · 10.1016/s2214-109x(19)30318-3

• Minimum sample size for developing a multivariable prediction model: PART II ‐ binary and time‐to‐event outcomes

  Statistics in Medicine · 2018 · 10.1002/sim.7992

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

  Annals of Internal Medicine · 2018 · 10.7326/m18-1376

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

  Annals of Internal Medicine · 2018 · 10.7326/m18-1377

• A guide to systematic review and meta-analysis of prediction model performance

  BMJ · 2017 · 10.1136/bmj.i6460

• Prediction models for cardiovascular disease risk in the general population: systematic review

  BMJ · 2016 · 10.1136/bmj.i2416

• Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration

  Annals of Internal Medicine · 2015 · https://doi.org/10.7326/m14-0698

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

  Annals of Internal Medicine · 2015 · 10.7326/m14-0697

• Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): The TRIPOD statement

  British Journal of Cancer · 2015 · https://doi.org/10.1038/bjc.2014.639

• Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

  BMC Medicine · 2015 · 10.1186/s12916-014-0241-z

• Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement

  BMJ · 2015 · https://doi.org/10.1136/bmj.g7594

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

  British journal of surgery · 2015 · 10.1002/bjs.9736

• Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD)

  Circulation · 2015 · 10.1161/circulationaha.114.014508

• Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research

  PLoS Medicine · 2013 · 10.1371/journal.pmed.1001381

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

  Heart · 2012 · 10.1136/heartjnl-2011-301247

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

  Heart · 2012 · 10.1136/heartjnl-2011-301246

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

  BMJ · 2009 · 10.1136/bmj.b606

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

  BMJ · 2009 · 10.1136/bmj.b375

• Prognosis and prognostic research: Developing a prognostic model

  BMJ · 2009 · 10.1136/bmj.b604

• Prognosis and prognostic research: validating a prognostic model

  BMJ · 2009 · 10.1136/bmj.b605

• General and Abdominal Adiposity and Risk of Death in Europe

  New England Journal of Medicine · 2008 · 10.1056/nejmoa0801891

• Review: A gentle introduction to imputation of missing values

  Journal of Clinical Epidemiology · 2006 · 10.1016/j.jclinepi.2006.01.014

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

  Journal of Clinical Epidemiology · 2006 · 10.1016/j.jclinepi.2006.01.009

Current projects

No projects listed.