Damen, Johanna A A G

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

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

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

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

A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes

Debray, T. P., Damen, J. A., Riley, R. D., Snell, K., Reitsma, J. B., Hooft, L., Collins, G. S., & Moons, K. G. (2019) · Statistical Methods in Medical Research

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 278

Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis

Damen, J. A., Pajouheshnia, R., Heus, P., Moons, K. G. M., Reitsma, J. B., Scholten, R. J. P. M., Hooft, L., & Debray, T. P. A. (2019) · BMC Medicine

Health Promotion and Cardiovascular PreventionLipoproteins and Cardiovascular Health

Cited by 250

Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review

Dhiman, P., Ma, J., Andaur Navarro, C. L., Speich, B., Bullock, G., Damen, J. A. A., Hooft, L., Kirtley, S., Riley, R. D., Van Calster, B., et al. (2022) · BMC Medical Research Methodology

Statistical Methods in EpidemiologyArtificial Intelligence in Healthcare

Cited by 140

Systematic review identifies the design and methodological conduct of studies on machine learning-based prediction models

Andaur Navarro, C. L., Damen, J. A. A., van Smeden, M., Takada, T., Nijman, S. W. J., Dhiman, P., Ma, J., Collins, G. S., Bajpai, R., Riley, R. D., et al. (2023) · Journal of Clinical Epidemiology

Artificial Intelligence in HealthcareStatistical Methods in Epidemiology

Cited by 121

Risk of bias of prognostic models developed using machine learning: a systematic review in oncology

Dhiman, P., Ma, J., Andaur Navarro, C. L., Speich, B., Bullock, G., Damen, J. A. A., Hooft, L., Kirtley, S., Riley, R. D., Van Calster, B., et al. (2022) · Diagnostic and Prognostic Research

Statistical Methods in EpidemiologyMachine Learning in Healthcare

Cited by 79

Transparent Reporting of Multivariable Prediction Models in Journal and Conference Abstracts: TRIPOD for Abstracts

Heus, P., Reitsma, J. B., Collins, G. S., Damen, J. A. A. G., Scholten, R. J. P. M., Altman, D. G., Moons, K. G. M., & Hooft, L. (2020) · Annals of Internal Medicine

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 70

Overinterpretation of findings in machine learning prediction model studies in oncology: a systematic review

Dhiman, P., Ma, J., Andaur Navarro, C. L., Speich, B., Bullock, G., Damen, J. A. A., Hooft, L., Kirtley, S., Riley, R. D., Van Calster, B., et al. (2023) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 41

Effectiveness of contact tracing apps for SARS-CoV-2: a rapid systematic review

Jenniskens, K., Bootsma, M. C. J., Damen, J. A. A. G., Oerbekke, M. S., Vernooij, R. W. M., Spijker, R., Moons, K. G. M., Kretzschmar, M. E. E., & Hooft, L. (2021) · BMJ Open

COVID-19 Digital Contact TracingCOVID-19 epidemiological studies

Cited by 40

Assessing the quality of prediction models in health care using the Prediction model Risk Of Bias ASsessment Tool (PROBAST): an evaluation of its use and practical application

Kaul, T., Damen, J. A. A., Wynants, L., Van Calster, B., van Smeden, M., Hooft, L., & Moons, K. G. M. (2025) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 16

Write your abstracts carefully—The impact of abstract reporting quality on findability by semi-automated title-abstract screening tools

Spiero, I., Leeuwenberg, A. M., Moons, K. G. M., Hooft, L., & Damen, J. A. A. (2025) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsAcademic Writing and Publishing

Cited by 3