Moons, Karel G. M.

Dealing With Missing Outcome Data in Randomized Trials and Observational Studies

Groenwold, R. H. H., Donders, A. R. T., Roes, K. C. B., Harrell, F. E., & Moons, K. G. M. (2012) · American Journal of Epidemiology

Statistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques

Cited by 398

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

Sounderajah, V., Guni, A., Liu, X., Collins, G. S., Karthikesalingam, A., Markar, S. R., Golub, R. M., Denniston, A. K., Shetty, S., Moher, D., et al. (2025) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 352

Search Filters for Finding Prognostic and Diagnostic Prediction Studies in Medline to Enhance Systematic Reviews

Geersing, G.-J., Bouwmeester, W., Zuithoff, P., Spijker, R., Leeflang, M., & Moons, K. (2012) · PLoS ONE

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 350

Get real in individual participant data (IPD) meta‐analysis: a review of the methodology

Debray, T. P. A., Moons, K. G. M., van Valkenhoef, G., Efthimiou, O., Hummel, N., Groenwold, R. H. H., Reitsma, J. B., & on behalf of the GetReal methods review group (2015) · Research Synthesis Methods

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 348

Developing a reporting guideline for artificial intelligence-centred diagnostic test accuracy studies: the STARD-AI protocol

Sounderajah, V., Ashrafian, H., Golub, R. M., Shetty, S., De Fauw, J., Hooft, L., Moons, K., Collins, G., Moher, D., Bossuyt, P. M., et al. (2021) · BMJ Open

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 333

Beyond Diagnostic Accuracy: The Clinical Utility of Diagnostic Tests

Bossuyt, P. M., Reitsma, J. B., Linnet, K., & Moons, K. G. (2012) · Clinical Chemistry

Meta-analysis and systematic reviewsHealth Systems, Economic Evaluations, Quality of Life

Cited by 330

Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study

Abbasi, A., Peelen, L. M., Corpeleijn, E., van der Schouw, Y. T., Stolk, R. P., Spijkerman, A. M. W., van der A, D. L., Moons, K. G. M., Navis, G., Bakker, S. J. L., et al. (2012) · BMJ

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 321

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

External Validity of Risk Models: Use of Benchmark Values to Disentangle a Case-Mix Effect From Incorrect Coefficients

Vergouwe, Y., Moons, K. G. M., & Steyerberg, E. W. (2010) · American Journal of Epidemiology

Statistical Methods in EpidemiologyAdvanced Causal Inference Techniques

Cited by 243

Understanding metric-related pitfalls in image analysis validation

Reinke, A., Tizabi, M. D., Baumgartner, M., Eisenmann, M., Heckmann-Nötzel, D., Kavur, A. E., Rädsch, T., Sudre, C. H., Acion, L., Antonelli, M., et al. (2024) · Nature Methods

Cell Image Analysis TechniquesMedical Image Segmentation Techniques

Cited by 241

Glycated hemoglobin measurement and prediction of cardiovascular disease

Di Angelantonio, E., Gao, P., Khan, H., Butterworth, A. S., Wormser, D., Kaptoge, S., Kondapally Seshasai, S. R., Thompson, A., Sarwar, N., Willeit, P., et al. (2014) · JAMA

Diabetes, Cardiovascular Risks, and LipoproteinsDiabetes Management and Research

Cited by 231

Diagnostic and prognostic prediction models

Hendriksen, J. M. T., Geersing, G. J., Moons, K. G. M., & de Groot, J. A. H. (2013) · Journal of Thrombosis and Haemostasis

Venous Thromboembolism Diagnosis and ManagementStatistical Methods in Epidemiology

Cited by 229

The Patient Health Questionnaire-9 for detection of major depressive disorder in primary care: consequences of current thresholds in a crosssectional study

Zuithoff, N. P., Vergouwe, Y., King, M., Nazareth, I., van Wezep, M. J., Moons, K. G., & Geerlings, M. I. (2010) · BMC Family Practice

Anxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesMental Health Treatment and Access

Cited by 218

Evaluating the impact of prediction models: lessons learned, challenges, and recommendations

Kappen, T. H., van Klei, W. A., van Wolfswinkel, L., Kalkman, C. J., Vergouwe, Y., & Moons, K. G. M. (2018) · Diagnostic and Prognostic Research

Statistical Methods in EpidemiologyClinical Reasoning and Diagnostic Skills

Cited by 215

Detecting small‐study effects and funnel plot asymmetry in meta‐analysis of survival data: A comparison of new and existing tests

Debray, T. P. A., Moons, K. G. M., & Riley, R. D. (2018) · Research Synthesis Methods

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 212

A systematic comparison of software dedicated to meta-analysis of causal studies

Bax, L., Yu, L.-M., Ikeda, N., & Moons, K. G. (2007) · BMC Medical Research Methodology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 210

Imputation of systematically missing predictors in an individual participant data meta-analysis: a generalized approach using MICE

Jolani, S., Debray, T. P. A., Koffijberg, H., van Buuren, S., & Moons, K. G. M. (2015) · Statistics in Medicine

Statistical Methods and Bayesian InferenceMeta-analysis and systematic reviews

Cited by 192

Limitations of Sensitivity, Specificity, Likelihood Ratio, and Bayesʼ Theorem in Assessing Diagnostic Probabilities: A Clinical Example

Moons, K. G. M., van Es, G.-A., Deckers, J. W., Habbema, J. D. F., & Grobbee, D. E. (1997) · Epidemiology

Statistical Methods in EpidemiologyCardiac Imaging and Diagnostics

Cited by 189

Multiple imputation of missing repeated outcome measurements did not add to linear mixed-effects models

Peters, S. A. E., Bots, M. L., den Ruijter, H. M., Palmer, M. K., Grobbee, D. E., Crouse, J. R., O’Leary, D. H., Evans, G. W., Raichlen, J. S., Moons, K. G. M., et al. (2012) · Journal of Clinical Epidemiology

Statistical Methods and Bayesian InferenceStatistical Methods in Clinical Trials

Cited by 165

Quantifying the Added Value of a Diagnostic Test or Marker

Moons, K. G. M., de Groot, J. A. H., Linnet, K., Reitsma, J. B., & Bossuyt, P. M. M. (2012) · Clinical Chemistry

Statistical Methods in EpidemiologyMeta-analysis and systematic reviews

Cited by 152

PRISMA AI reporting guidelines for systematic reviews and meta-analyses on AI in healthcare

Cacciamani, G. E., Chu, T. N., Sanford, D. I., Abreu, A., Duddalwar, V., Oberai, A., Kuo, C.-C. J., Liu, X., Denniston, A. K., Vasey, B., et al. (2023) · Nature Medicine

Meta-analysis and systematic reviewsArtificial Intelligence in Healthcare and Education

Cited by 143

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

New Guideline for the Reporting of Studies Developing, Validating, or Updating a Multivariable Clinical Prediction Model: The TRIPOD Statement

Moons, K. G. M., Altman, D. G., Reitsma, J. B., & Collins, G. S. (2015) · Advances in Anatomic Pathology

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 139