Moons, Karel G. M.

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

Moons, K. G. M., Altman, D. G., Reitsma, J. B., Ioannidis, J. P. A., Macaskill, P., Steyerberg, E. W., Vickers, A. J., Ransohoff, D. F., & Collins, G. S. (2015) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 5,147

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

Collins, G. S., Moons, K. G. M., Dhiman, P., Riley, R. D., Beam, A. L., Van Calster, B., Ghassemi, M., Liu, X., Reitsma, J. B., van Smeden, M., et al. (2024) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 4,718

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) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 4,388

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) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 3,267

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

Wynants, L., Van Calster, B., Bonten, M. M., Collins, G. S., Debray, T. P., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G., Riley, R. D., et al. (2020) · BMJ

COVID-19 Clinical Research StudiesStatistical Methods in Epidemiology

Cited by 3,070

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

Wolff, R. F., Moons, K. G. M., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., Mallett, S., & for the PROBAST Group† (2019) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 2,984

Calculating the sample size required for developing a clinical prediction model

Riley, R. D., Ensor, J., Snell, K. I. E., Harrell, F. E., Martin, G. P., Reitsma, J. B., Moons, K. G. M., Collins, G., & van Smeden, M. (2020) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 2,917

Long-term cognitive impairment after critical illness

Pandharipande, P. P., Girard, T. D., Jackson, J. C., Morandi, A., Thompson, J. L., Pun, B. T., Brummel, N. E., Hughes, C. G., Vasilevskis, E. E., Shintani, A. K., et al. (2013) · New England Journal of Medicine

Intensive Care Unit Cognitive DisordersTraumatic Brain Injury Research

Cited by 2,842

Review: a gentle introduction to imputation of missing values.

Donders, A. R. T., van der Heijden, G. J. M. G., Stijnen, T., & Moons, K. G. M. (2006) · Journal of Clinical Epidemiology

Statistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

Cited by 2,582

General and abdominal adiposity and risk of death in Europe

Pischon, T., Boeing, H., Hoffmann, K., Bergmann, M., Schulze, M. B., Overvad, K., van der Schouw, Y. T., Spencer, E., Moons, K. G. M., Tjønneland, A., et al. (2008) · New England Journal of Medicine

Obesity, Physical Activity, DietCancer Risks and Factors

Cited by 2,155

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

Moons, K. G. M., de Groot, J. A. H., Bouwmeester, W., Vergouwe, Y., Mallett, S., Altman, D. G., Reitsma, J. B., & Collins, G. S. (2014) · PLoS Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 2,018

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. (2015) · BMC Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 1,927

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

SCORE2 working group and ESC Cardiovascular risk collaboration, Hageman, S., Pennells, L., Ojeda, F., Kaptoge, S., Kuulasmaa, K., de Vries, T., Xu, Z., Kee, F., Chung, R., et al. (2021) · European Heart Journal

Health Promotion and Cardiovascular PreventionCardiovascular Health and Risk Factors

Cited by 1,810

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

Moons, K. G. M., Wolff, R. F., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., & Mallett, S. (2019) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 1,669

Prognosis Research Strategy (PROGRESS) 3: Prognostic Model Research

Steyerberg, E. W., Moons, K. G. M., van der Windt, D. A., Hayden, J. A., Perel, P., Schroter, S., Riley, R. D., Hemingway, H., Altman, D. G., & for the PROGRESS Group (2013) · PLoS Medicine

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 1,508

Prognosis and prognostic research: validating a prognostic model

Altman, D. G., Vergouwe, Y., Royston, P., & Moons, K. G. M. (2009) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 1,436

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

Riley, R. D., Snell, K. I., Ensor, J., Burke, D. L., Harrell Jr, F. E., Moons, K. G., & Collins, G. S. (2019) · Statistics in Medicine

Statistical Methods in EpidemiologyStatistical Methods and Inference

Cited by 1,409

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

Moons, K. G. M., Royston, P., Vergouwe, Y., Grobbee, D. E., & Altman, D. G. (2009) · BMJ

Statistical Methods in EpidemiologyPalliative Care and End-of-Life Issues

Cited by 1,337

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

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

Statistical Methods in EpidemiologyArtificial Intelligence in Healthcare

Cited by 1,195

Prognosis and prognostic research: Developing a prognostic model

Royston, P., Moons, K. G. M., Altman, D. G., & Vergouwe, Y. (2009) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 1,172

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

Moons, K. G. M., Damen, J. A. A., Kaul, T., Hooft, L., Andaur Navarro, C., Dhiman, P., Beam, A. L., Van Calster, B., Celi, L. A., Denaxas, S., et al. (2025) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 1,069

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

Vasey, B., Nagendran, M., Campbell, B., Clifton, D. A., Collins, G. S., Denaxas, S., Denniston, A. K., Faes, L., Geerts, B., Ibrahim, M., et al. (2022) · Nature Medicine

Artificial Intelligence in Healthcare and EducationMeta-analysis and systematic reviews

Cited by 1,039

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

Damen, J. A. A. G., Hooft, L., Schuit, E., Debray, T. P. A., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C. M., Chiocchia, V., Roberts, C., et al. (2016) · BMJ

Health Promotion and Cardiovascular PreventionCardiovascular Health and Risk Factors

Cited by 935

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

Moons, K. G. M., Altman, D. G., Vergouwe, Y., & Royston, P. (2009) · BMJ

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 934