Moons, Karel G. M.

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

Moons, K. G. M., Kengne, A. P., Woodward, M., Royston, P., Vergouwe, Y., Altman, D. G., & Grobbee, D. E. (2012) · Heart

Statistical Methods in EpidemiologyArtificial Intelligence in Healthcare

Cited by 889

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

Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. M. (2015) · British Journal of Surgery

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 889

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

Collins, G. S., Dhiman, P., Andaur Navarro, C. L., Ma, J., Hooft, L., Reitsma, J. B., Logullo, P., Beam, A. L., Peng, L., Van Calster, B., et al. (2021) · BMJ Open

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 852

Prognosis Research Strategy (PROGRESS) 2: Prognostic Factor Research

Riley, R. D., Hayden, J. A., Steyerberg, E. W., Moons, K. G. M., Abrams, K., Kyzas, P. A., Malats, N., Briggs, A., Schroter, S., Altman, D. G., et al. (2013) · PLoS Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 823

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

Collins, G. S., Dhiman, P., Ma, J., Schlussel, M. M., Archer, L., Van Calster, B., Harrell, F. E., Martin, G. P., Moons, K. G. M., van Smeden, M., et al. (2024) · BMJ

Statistical Methods in EpidemiologyArtificial Intelligence in Healthcare

Cited by 798

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. M. (2015) · Circulation

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 793

Common Carotid Intima-Media Thickness Measurements in Cardiovascular Risk Prediction: A Meta-analysis

Den Ruijter, H. M., Peters, S. A. E., Anderson, T. J., Britton, A. R., Dekker, J. M., Eijkemans, M. J., Engström, G., Evans, G. W., de Graaf, J., Grobbee, D. E., et al. (2012) · JAMA

Cardiovascular Health and Disease PreventionHealth Promotion and Cardiovascular Prevention

Cited by 760

External validation of multivariable prediction models: a systematic review of methodological conduct and reporting

Collins, G. S., de Groot, J. A., Dutton, S., Omar, O., Shanyinde, M., Tajar, A., Voysey, M., Wharton, R., Yu, L.-M., Moons, K. G., et al. (2014) · BMC Medical Research Methodology

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 729

External validation is necessary in prediction research:

Bleeker, S. E., Moll, H. A., Steyerberg, E. W., Donders, A. R. T., Derksen-Lubsen, G., Grobbee, D. E., & Moons, K. G. M. (2003) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 710

Reporting of artificial intelligence prediction models

Collins, G. S., & Moons, K. G. M. (2019) · The Lancet

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 701

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

Debray, T. P. A., Damen, J. A. A. G., Snell, K. I. E., Ensor, J., Hooft, L., Reitsma, J. B., Riley, R. D., & Moons, K. G. M. (2017) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 657

The TRIPOD-LLM reporting guideline for studies using large language models

Gallifant, J., Afshar, M., Ameen, S., Aphinyanaphongs, Y., Chen, S., Cacciamani, G., Demner-Fushman, D., Dligach, D., Daneshjou, R., Fernandes, C., et al. (2025) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 615

Internal and external validation of predictive models: A simulation study of bias and precision in small samples

Steyerberg, E. W., Bleeker, S. E., Moll, H. A., Grobbee, D. E., & Moons, K. G. M. (2003) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 611

Reporting and Methods in Clinical Prediction Research: A Systematic Review

Bouwmeester, W., Zuithoff, N. P. A., Mallett, S., Geerlings, M. I., Vergouwe, Y., Steyerberg, E. W., Altman, D. G., & Moons, K. G. M. (2012) · PLoS Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 600

Incidence and predictors of short- and long-term complications in pacemaker therapy: The FOLLOWPACE study

Udo, E. O., Zuithoff, N. P. A., van Hemel, N. M., de Cock, C. C., Hendriks, T., Doevendans, P. A., & Moons, K. G. M. (2012) · Heart Rhythm

Cardiac pacing and defibrillation studiesInfective Endocarditis Diagnosis and Management

Cited by 597

A new framework to enhance the interpretation of external validation studies of clinical prediction models

Debray, T. P. A., Vergouwe, Y., Koffijberg, H., Nieboer, D., Steyerberg, E. W., & Moons, K. G. M. (2015) · Journal of Clinical Epidemiology

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 597

External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges

Riley, R. D., Ensor, J., Snell, K. I. E., Debray, T. P. A., Altman, D. G., Moons, K. G. M., & Collins, G. S. (2016) · BMJ

Statistical Methods in EpidemiologyMachine Learning in Healthcare

Cited by 585

Missing covariate data in clinical research: when and when not to use the missing-indicator method for analysis

Groenwold, R. H. H., White, I. R., Donders, A. R. T., Carpenter, J. R., Altman, D. G., & Moons, K. G. M. (2012) · Canadian Medical Association Journal

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 538

Development and validation of MIX: comprehensive free software for meta-analysis of causal research data

Bax, L., Yu, L.-M., Ikeda, N., Tsuruta, H., & Moons, K. G. (2006) · BMC Medical Research Methodology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 514

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

de Hond, A. A. H., Leeuwenberg, A. M., Hooft, L., Kant, I. M. J., Nijman, S. W. J., van Os, H. J. A., Aardoom, J. J., Debray, T. P. A., Schuit, E., van Smeden, M., et al. (2022) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 499

Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD)

Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. M. (2015) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 493

Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD Statement

Collins, G. S., Reitsma, J. B., Altman, D. G., & Moons, K. G. M. (2015) · European Urology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 439

Risk of bias in studies on prediction models developed using supervised machine learning techniques: systematic review

Andaur Navarro, C. L., Damen, J. A. A., Takada, T., Nijman, S. W. J., Dhiman, P., Ma, J., Collins, G. S., Bajpai, R., Riley, R. D., Moons, K. G. M., et al. (2021) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 415

GetReal in network meta-analysis: a review of the methodology

Efthimiou, O., Debray, T. P. A., van Valkenhoef, G., Trelle, S., Panayidou, K., Moons, K. G. M., Reitsma, J. B., Shang, A., Salanti, G., & on behalf of GetReal Methods Review Group (2016) · Research Synthesis Methods

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

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